In [1]:
# Hiding the warnings
import warnings
warnings.filterwarnings('ignore')

Importing all the necessary libraries

In [2]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Used to display all the matplotlib graphs inside the notebook
%matplotlib inline 
import seaborn as sns
In [3]:
sns.set() # Setting the default seaborn style for all the plots

1) Reading the data

In [4]:
data = pd.read_csv('Part- 1,2&3 - Signal.csv') # Storing the given data into a data frame called as "data"

Exploratory Data Analysis

2) Number of records, structure of the file, number of attributes

In [5]:
data.shape # The data has got 195 rows and 24 columns
Out[5]:
(1599, 12)
In [6]:
data.head() # Checking the head of the data frame
Out[6]:
Parameter 1 Parameter 2 Parameter 3 Parameter 4 Parameter 5 Parameter 6 Parameter 7 Parameter 8 Parameter 9 Parameter 10 Parameter 11 Signal_Strength
0 7.4 0.70 0.00 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5
1 7.8 0.88 0.00 2.6 0.098 25.0 67.0 0.9968 3.20 0.68 9.8 5
2 7.8 0.76 0.04 2.3 0.092 15.0 54.0 0.9970 3.26 0.65 9.8 5
3 11.2 0.28 0.56 1.9 0.075 17.0 60.0 0.9980 3.16 0.58 9.8 6
4 7.4 0.70 0.00 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5
In [7]:
# Checking for duplicates and removing the duplicates

print('The shape before removing the duplicates from the data set is :',data.shape)
data = data.drop_duplicates()
print('The shape after removing the duplicates from the data set is :',data.shape)
The shape before removing the duplicates from the data set is : (1599, 12)
The shape after removing the duplicates from the data set is : (1359, 12)
In [8]:
data.info() # Checking for the data type of each of the variables and the number of non-null values
<class 'pandas.core.frame.DataFrame'>
Int64Index: 1359 entries, 0 to 1598
Data columns (total 12 columns):
 #   Column           Non-Null Count  Dtype  
---  ------           --------------  -----  
 0   Parameter 1      1359 non-null   float64
 1   Parameter 2      1359 non-null   float64
 2   Parameter 3      1359 non-null   float64
 3   Parameter 4      1359 non-null   float64
 4   Parameter 5      1359 non-null   float64
 5   Parameter 6      1359 non-null   float64
 6   Parameter 7      1359 non-null   float64
 7   Parameter 8      1359 non-null   float64
 8   Parameter 9      1359 non-null   float64
 9   Parameter 10     1359 non-null   float64
 10  Parameter 11     1359 non-null   float64
 11  Signal_Strength  1359 non-null   int64  
dtypes: float64(11), int64(1)
memory usage: 138.0 KB
In [9]:
data.nunique() # Getting a count of number of unique values in each column so as to identify the continuous and discrete variables
Out[9]:
Parameter 1         96
Parameter 2        143
Parameter 3         80
Parameter 4         91
Parameter 5        153
Parameter 6         60
Parameter 7        144
Parameter 8        436
Parameter 9         89
Parameter 10        96
Parameter 11        65
Signal_Strength      6
dtype: int64

3) The five point summary of the continuous variables

In [10]:
data.describe().T 
Out[10]:
count mean std min 25% 50% 75% max
Parameter 1 1359.0 8.310596 1.736990 4.60000 7.1000 7.9000 9.20000 15.90000
Parameter 2 1359.0 0.529478 0.183031 0.12000 0.3900 0.5200 0.64000 1.58000
Parameter 3 1359.0 0.272333 0.195537 0.00000 0.0900 0.2600 0.43000 1.00000
Parameter 4 1359.0 2.523400 1.352314 0.90000 1.9000 2.2000 2.60000 15.50000
Parameter 5 1359.0 0.088124 0.049377 0.01200 0.0700 0.0790 0.09100 0.61100
Parameter 6 1359.0 15.893304 10.447270 1.00000 7.0000 14.0000 21.00000 72.00000
Parameter 7 1359.0 46.825975 33.408946 6.00000 22.0000 38.0000 63.00000 289.00000
Parameter 8 1359.0 0.996709 0.001869 0.99007 0.9956 0.9967 0.99782 1.00369
Parameter 9 1359.0 3.309787 0.155036 2.74000 3.2100 3.3100 3.40000 4.01000
Parameter 10 1359.0 0.658705 0.170667 0.33000 0.5500 0.6200 0.73000 2.00000
Parameter 11 1359.0 10.432315 1.082065 8.40000 9.5000 10.2000 11.10000 14.90000
Signal_Strength 1359.0 5.623252 0.823578 3.00000 5.0000 6.0000 6.00000 8.00000
In [11]:
corr = data.corr() # Finding the correlation between the variables
In [12]:
fig, ax = plt.subplots(figsize=(15,15))
sns.heatmap(corr, annot=True,ax=ax)
Out[12]:
<matplotlib.axes._subplots.AxesSubplot at 0x2554e166f10>

4) Observing the distribution of the target variable

In [13]:
%matplotlib inline
data.hist(['Signal_Strength'], figsize=[10,3])
Out[13]:
array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000002554F235EB0>]],
      dtype=object)
In [14]:
grouped_data = data.groupby('Signal_Strength').size()
print(grouped_data)
Signal_Strength
3     10
4     53
5    577
6    535
7    167
8     17
dtype: int64

Clearly, we can see that signals 5 and 6 are dominating

In [15]:
sns.countplot(x="Signal_Strength",data=data,alpha=0.7)
Out[15]:
<matplotlib.axes._subplots.AxesSubplot at 0x2554f2a4e80>
In [16]:
from scipy import stats
print('The skewness of signal strength is :',stats.skew(data['Signal_Strength']))
The skewness of signal strength is : 0.19219415286935035

- We can see that the data is almost normally distributed with slight skewness on the RHS.

5) Distributions of the predictors (continuous)

In [17]:
X = data.drop('Signal_Strength',axis=1)
In [18]:
c_cols = X.columns.to_list()
for column in c_cols :
    plt.close()
    sns.distplot(data[column])
    plt.show()

1) All the parameters are skewed towards the right hand side.

2) Parameters 2 and 3 have bimodal and trimodal tendencies.

3) Parameters 4 and 5 are extremely skewed towards the right and might not play good roles as predictors.

4) Parameters 8 and 9 are normally skewed with very slight right side skewness.

In [19]:
# Checking for the skewness is the predictors

from scipy import stats
skews = []
for i in c_cols:
    skew = stats.skew(data[i])
    skews.append(skew)
for i in range(len(skews)) :
    print('The skewness of ',c_cols[i],'is: ',skews[i])
The skewness of  Parameter 1 is:  0.9400023708308168
The skewness of  Parameter 2 is:  0.7284737558284394
The skewness of  Parameter 3 is:  0.31238026482516323
The skewness of  Parameter 4 is:  4.543131827144295
The skewness of  Parameter 5 is:  5.496412046041327
The skewness of  Parameter 6 is:  1.2252252433705406
The skewness of  Parameter 7 is:  1.538667370663026
The skewness of  Parameter 8 is:  0.04472841688833082
The skewness of  Parameter 9 is:  0.2317760903753284
The skewness of  Parameter 10 is:  2.403847613657584
The skewness of  Parameter 11 is:  0.8588918260413719

6) Using univariate & bivariate analysis to check the individual attributes for

their basic statistics

- Relationship between the target variable and each of the continuous variables(predictors)

------------------------------------------OUTLIER TREATMENT------------------------------------------

In [20]:
scatter_plot=pd.plotting.scatter_matrix(data, figsize=(20,20))
In [21]:
# Using boxplots to find out the outliers (Bivariate Analysis)

for i in c_cols:    
    data.boxplot(i,by='Signal_Strength')
    plt.tight_layout()
    plt.title('',y=1.08)
    plt.xlabel('Signal_Strength')
    plt.ylabel(i)

-I have replaced only the extreme points among the outliers with a logical value (the max value of that variable for that particular class(3/4/5/6/7/8))

Outlier treatment for 'Parameter 1'

In [22]:
value1 = data[data['Signal_Strength']==4]['Parameter 1'].max()
value1
Out[22]:
12.5
In [23]:
value2 = data[(data['Parameter 1']<value1) & (data['Signal_Strength']==4)]['Parameter 1'].max() 
In [24]:
value2
Out[24]:
12.0
In [25]:
value3 = data[(data['Parameter 1']<value2) & (data['Signal_Strength']==4)]['Parameter 1'].max() 
In [26]:
value3
Out[26]:
11.6
In [27]:
value = data[(data['Parameter 1']<value3) & (data['Signal_Strength']==4)]['Parameter 1'].max() 
In [28]:
value
Out[28]:
10.5
In [29]:
data['Parameter 1'][(data['Signal_Strength']==4) & (data['Parameter 1']>=value3)]=value # Replacing the outlier with the logical value
In [30]:
value1 = data[data['Signal_Strength']==5]['Parameter 1'].max()
value1
Out[30]:
15.9
In [31]:
value2 = data[(data['Parameter 1']<value1) & (data['Signal_Strength']==5)]['Parameter 1'].max() 
value2
Out[31]:
15.6
In [32]:
value3 = data[(data['Parameter 1']<value2) & (data['Signal_Strength']==5)]['Parameter 1'].max() 
value3
Out[32]:
15.5
In [33]:
value4 = data[(data['Parameter 1']<value3) & (data['Signal_Strength']==5)]['Parameter 1'].max() 
value4
Out[33]:
13.5
In [34]:
data['Parameter 1'][(data['Signal_Strength']==5) & (data['Parameter 1']>=value3)]=value4 # Replacing the outlier with the logical value
In [35]:
value1 = data[data['Signal_Strength']==7]['Parameter 1'].max()
value1
Out[35]:
15.6
In [36]:
value2 = data[(data['Parameter 1']<value1) & (data['Signal_Strength']==7)]['Parameter 1'].max() 
value2
Out[36]:
15.0
In [37]:
value = data[(data['Parameter 1']<value2) & (data['Signal_Strength']==7)]['Parameter 1'].max() 
value
Out[37]:
13.3
In [38]:
data['Parameter 1'][(data['Signal_Strength']==7) & (data['Parameter 1']>=value2)]=value # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 2'

In [39]:
value1 = data[data['Signal_Strength']==3]['Parameter 2'].max() 
value1
Out[39]:
1.58
In [40]:
value=1.33
In [41]:
data['Parameter 2'][(data['Signal_Strength']==3) & (data['Parameter 2']>=value1)]=value # Replacing the outlier with the logical value
In [42]:
value1 = data[(data['Signal_Strength']==5) & (data['Parameter 2']<1.1)]['Parameter 2'].max() 
value1
Out[42]:
1.07
In [43]:
data['Parameter 2'][(data['Signal_Strength']==5) & (data['Parameter 2']>value1)]=value1 # Replacing the outlier with the logical value
In [44]:
value1 = data[(data['Signal_Strength']==7) & (data['Parameter 2']<0.8)]['Parameter 2'].max() 
value1
Out[44]:
0.735
In [45]:
data['Parameter 2'][(data['Signal_Strength']==7) & (data['Parameter 2']>value1)]=value1 # Replacing the outlier with the logical value
In [46]:
value1 = data[(data['Signal_Strength']==8) & (data['Parameter 2']<0.8)]['Parameter 2'].max() 
value1
Out[46]:
0.62
In [47]:
data['Parameter 2'][(data['Signal_Strength']==8) & (data['Parameter 2']>value1)]=value1 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 3'

In [48]:
value1 = data[(data['Signal_Strength']==4) & (data['Parameter 3']<0.8)]['Parameter 3'].max() 
value1
Out[48]:
0.54
In [49]:
data['Parameter 3'][(data['Signal_Strength']==4) & (data['Parameter 3']>value1)]=value1 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 4'

In [50]:
value1 = data[data['Parameter 4']<5]['Parameter 4'].max() 
value1
Out[50]:
4.8
In [51]:
data['Parameter 4'][(data['Parameter 4']>value1)]=value1 # Replacing the outlier with the logical value
In [52]:
value2 = data[data['Parameter 4']<4]['Parameter 4'].max() 
value2
Out[52]:
3.9
In [53]:
data['Parameter 4'][(data['Parameter 4']>value2)]=value2 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 5'

In [54]:
value1 = data[data['Parameter 5']<0.25]['Parameter 5'].max() 
value1
Out[54]:
0.243
In [55]:
data['Parameter 5'][(data['Parameter 5']>value1)]=value1 # Replacing the outlier with the logical value
In [56]:
value2 = data[data['Parameter 5']<=0.2]['Parameter 5'].max() 
value2
Out[56]:
0.2
In [57]:
data['Parameter 5'][(data['Parameter 5']>value2)]=value2 # Replacing the outlier with the logical value
In [58]:
data['Parameter 5'][(data['Signal_Strength']==4) & (data['Parameter 5']>0.11)]=0.11 # Replacing the outlier with the logical value
In [59]:
data['Parameter 5'][(data['Signal_Strength']==5) & (data['Parameter 5']>0.13)]=0.13 # Replacing the outlier with the logical value
In [60]:
data['Parameter 5'][(data['Signal_Strength']==6) & (data['Parameter 5']>0.13)]=0.13 # Replacing the outlier with the logical value
In [61]:
data['Parameter 5'][(data['Signal_Strength']==7) & (data['Parameter 5']>0.13)]=0.13 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 11'

In [62]:
data['Parameter 11'][(data['Signal_Strength']==5) & (data['Parameter 11']>12)]=12 # Replacing the outlier with the logical value
In [63]:
data['Parameter 11'][(data['Signal_Strength']==6) & (data['Parameter 11']>13.2)]=13.2 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 10'

In [64]:
data['Parameter 10'][(data['Signal_Strength']==3) & (data['Parameter 10']>0.75)]=0.75 # Replacing the outlier with the logical value
In [65]:
data['Parameter 10'][(data['Signal_Strength']==8) & (data['Parameter 10']>0.85)]=0.85 # Replacing the outlier with the logical value
In [66]:
data['Parameter 10'][(data['Signal_Strength']==5) & (data['Parameter 10']>1.1)]=1.1 # Replacing the outlier with the logical value
In [67]:
data['Parameter 10'][(data['Signal_Strength']==6) & (data['Parameter 10']>1.1)]=1.1 # Replacing the outlier with the logical value
In [68]:
data['Parameter 10'][(data['Signal_Strength']==7) & (data['Parameter 10']>1.1)]=1.1 # Replacing the outlier with the logical value
In [69]:
data['Parameter 10'][(data['Signal_Strength']==4) & (data['Parameter 10']>0.73)]=0.73 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 9'

In [70]:
data['Parameter 9'][(data['Parameter 9']>3.8)]=3.75 # Replacing the outlier with the logical value
In [71]:
data['Parameter 9'][(data['Signal_Strength']==7) & (data['Parameter 9']>3.6)]=3.58 # Replacing the outlier with the logical value
In [72]:
data['Parameter 9'][(data['Signal_Strength']==8) & (data['Parameter 9']>3.6)]=3.58 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 8'

In [73]:
data['Parameter 8'][(data['Parameter 8']>1.002)]=1.001 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 6'

In [74]:
data['Parameter 6'][(data['Parameter 6']>50)]=44 # Replacing the outlier with the logical value
In [75]:
data['Parameter 6'][(data['Signal_Strength']==3) & (data['Parameter 6']>20)]=20 # Replacing the outlier with the logical value
In [76]:
data['Parameter 6'][(data['Signal_Strength']==4) & (data['Parameter 6']>27)]=27 # Replacing the outlier with the logical value
In [77]:
data['Parameter 6'][(data['Signal_Strength']==7) & (data['Parameter 6']>32)]=32 # Replacing the outlier with the logical value
In [78]:
data['Parameter 6'][(data['Signal_Strength']==8) & (data['Parameter 6']>30)]=30 # Replacing the outlier with the logical value
In [79]:
data['Parameter 6'][(data['Signal_Strength']==6) & (data['Parameter 6']>44)]=44 # Replacing the outlier with the logical value

Outlier treatment for 'Parameter 7'

In [80]:
data['Parameter 7'][(data['Signal_Strength']==7) & (data['Parameter 7']>108)]=108 # Replacing the outlier with the logical value
In [81]:
data['Parameter 7'][(data['Signal_Strength']==4) & (data['Parameter 7']>85)]=85 # Replacing the outlier with the logical value
In [82]:
data['Parameter 7'][(data['Signal_Strength']==6) & (data['Parameter 7']>115)]=115 # Replacing the outlier with the logical value

Plotting the boxplots after outlier treatment

In [83]:
for i in c_cols:    
    data.boxplot(i,by='Signal_Strength')
    plt.tight_layout()
    plt.title('',y=1.08)
    plt.xlabel('Signal_Strength')
    plt.ylabel(i)

-The outliers are still present but there are no extreme points as such.

7) Feature Selection using statistical tests

ANOVA test (Categorical vs Continuous)

H0 : There is NO relation between the given variables (p > 0.05)

H1 : There is a relation between the given variables (p <= 0.05)

In [84]:
from scipy.stats import f_oneway
anova = []
for i in c_cols :
    l = data.groupby('Signal_Strength')[i].apply(list)
    res = f_oneway(*l)
    anova.append(i +':'+str(res[1]))
for i in anova:
    print(i)
Parameter 1:4.165941069157666e-05
Parameter 2:1.6549587279525718e-52
Parameter 3:2.4657384244442764e-16
Parameter 4:0.11636524222594663
Parameter 5:5.177291851880672e-17
Parameter 6:1.910064119941657e-06
Parameter 7:1.3146222025910915e-27
Parameter 8:9.716220326684017e-13
Parameter 9:0.00036803258973076733
Parameter 10:1.0269164884598126e-30
Parameter 11:1.0231005377751742e-99

-By looking at the p-values for each of the variables, all the variables have importance except 'Parameter 4'. So, I am dropping 'Parameter 4'.

In [85]:
data.drop('Parameter 4',axis=1,inplace=True)

8) Checking for null values in each of the columns

In [86]:
data.isnull().sum()
Out[86]:
Parameter 1        0
Parameter 2        0
Parameter 3        0
Parameter 5        0
Parameter 6        0
Parameter 7        0
Parameter 8        0
Parameter 9        0
Parameter 10       0
Parameter 11       0
Signal_Strength    0
dtype: int64

-There are no null values present in the data set

9) Saving the dataframe as a pickle file so that the data can be loaded quickly and used in the models

In [87]:
data.to_pickle('Signal_data.pickle')
In [88]:
signal_data = pd.read_pickle('signal_data.pickle')
signal_data.head()
Out[88]:
Parameter 1 Parameter 2 Parameter 3 Parameter 5 Parameter 6 Parameter 7 Parameter 8 Parameter 9 Parameter 10 Parameter 11 Signal_Strength
0 7.4 0.70 0.00 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5
1 7.8 0.88 0.00 0.098 25.0 67.0 0.9968 3.20 0.68 9.8 5
2 7.8 0.76 0.04 0.092 15.0 54.0 0.9970 3.26 0.65 9.8 5
3 11.2 0.28 0.56 0.075 17.0 60.0 0.9980 3.16 0.58 9.8 6
5 7.4 0.66 0.00 0.075 13.0 40.0 0.9978 3.51 0.56 9.4 5

-The data has been processed and can be used in the models.

--------------------------------------------------------------------------------------------------------------

Deep Learning

PART I - Neural Network Regressor

In [89]:
# Separate Target Variable and Predictor Variables
TargetVariable=['Signal_Strength']
Predictors=signal_data.drop('Signal_Strength',axis=1).columns.to_list()

X=signal_data[Predictors].values
y=signal_data[TargetVariable].values


### Sandardization of data ###
from sklearn.preprocessing import StandardScaler
PredictorScaler=StandardScaler()
TargetVarScaler=StandardScaler()

# Storing the fit object for later reference
PredictorScalerFit=PredictorScaler.fit(X)
TargetVarScalerFit=TargetVarScaler.fit(y)

# Generating the standardized values of X and y
X=PredictorScalerFit.transform(X)
y=TargetVarScalerFit.transform(y)

# Split the data into training and testing set
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
In [90]:
# Quick sanity check with the shapes of Training and testing datasets
print(X_train.shape)
print(y_train.shape)
print(X_test.shape)
print(y_test.shape)
(951, 10)
(951, 1)
(408, 10)
(408, 1)
In [91]:
# Standardized predictors
X[0:3]
Out[91]:
array([[-0.5282849 ,  0.95873037, -1.39770453, -0.29045961, -0.47582463,
        -0.38984665,  0.6032595 ,  1.33014879, -0.63785313, -0.9656283 ],
       [-0.29335716,  1.96318301, -1.39770453,  0.81495808,  0.95412947,
         0.64876402,  0.05697589, -0.71719469,  0.19451535, -0.58799575],
       [-0.29335716,  1.29354792, -1.19215529,  0.51348053, -0.06726632,
         0.23961436,  0.16623261, -0.32093466, -0.01357677, -0.58799575]])
In [92]:
# Inverse transform will take the data back to original form
PredictorScalerFit.inverse_transform(X)[0:3]
Out[92]:
array([[7.400e+00, 7.000e-01, 0.000e+00, 7.600e-02, 1.100e+01, 3.400e+01,
        9.978e-01, 3.510e+00, 5.600e-01, 9.400e+00],
       [7.800e+00, 8.800e-01, 0.000e+00, 9.800e-02, 2.500e+01, 6.700e+01,
        9.968e-01, 3.200e+00, 6.800e-01, 9.800e+00],
       [7.800e+00, 7.600e-01, 4.000e-02, 9.200e-02, 1.500e+01, 5.400e+01,
        9.970e-01, 3.260e+00, 6.500e-01, 9.800e+00]])

Regression using Deep Learning- Artificial Neural Networks(ANN)

In [93]:
from keras.models import Sequential
from keras.layers import Dense
In [94]:
def FunctionFindBestParams(X_train, y_train, X_test, y_test):
    
    # Defining the list of hyper parameters to try
    batch_size_list=[5, 10, 15, 20, 25, 30, 50]
    epoch_list  =   [5, 10, 50, 100, 150, 200, 250]
    
    import pandas as pd
    SearchResultsData=pd.DataFrame(columns=['TrialNumber', 'Parameters', 'Accuracy'])
    
    # initializing the trials
    TrialNumber=0
    for batch_size_trial in batch_size_list:
        for epochs_trial in epoch_list:
            TrialNumber+=1
            # create ANN model
            model = Sequential()
            # Defining the first layer of the model
            model.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))

            # Defining the Second layer of the model
            model.add(Dense(units=5, kernel_initializer='normal', activation='relu'))

            # The output neuron is a single fully connected node 
            # Since we will be predicting a single number
            model.add(Dense(1, kernel_initializer='normal'))

            # Compiling the model
            model.compile(loss='mean_squared_error', optimizer='adam')

            # Fitting the ANN to the Training set
            model.fit(X_train, y_train ,batch_size = batch_size_trial, epochs = 10, verbose=0)

            MAPE = np.mean(100 * (np.abs(y_test-model.predict(X_test))/y_test))
            
            # printing the results of the current iteration
            print(TrialNumber, 'Parameters:','batch_size:', batch_size_trial,'-', 'epochs:',epochs_trial, 'Accuracy:', 100-MAPE)
            
            SearchResultsData=SearchResultsData.append(pd.DataFrame(data=[[TrialNumber, str(batch_size_trial)+'-'+str(epochs_trial), 100-MAPE]],
                                                                    columns=['TrialNumber', 'Parameters', 'Accuracy'] ))
    return(SearchResultsData)
In [95]:
# Calling the function
ResultsData=FunctionFindBestParams(X_train, y_train, X_test, y_test)
1 Parameters: batch_size: 5 - epochs: 5 Accuracy: 80.3795078291736
2 Parameters: batch_size: 5 - epochs: 10 Accuracy: 75.84368292162515
3 Parameters: batch_size: 5 - epochs: 50 Accuracy: 77.22674336938744
4 Parameters: batch_size: 5 - epochs: 100 Accuracy: 79.1142567424172
5 Parameters: batch_size: 5 - epochs: 150 Accuracy: 74.94779909594563
6 Parameters: batch_size: 5 - epochs: 200 Accuracy: 78.25833604967892
7 Parameters: batch_size: 5 - epochs: 250 Accuracy: 76.71700482155359
8 Parameters: batch_size: 10 - epochs: 5 Accuracy: 75.37368752567149
9 Parameters: batch_size: 10 - epochs: 10 Accuracy: 75.82408288752521
10 Parameters: batch_size: 10 - epochs: 50 Accuracy: 79.17942065697406
11 Parameters: batch_size: 10 - epochs: 100 Accuracy: 78.25354008435208
12 Parameters: batch_size: 10 - epochs: 150 Accuracy: 79.59173084127046
13 Parameters: batch_size: 10 - epochs: 200 Accuracy: 75.6206851639124
14 Parameters: batch_size: 10 - epochs: 250 Accuracy: 75.11847054445207
15 Parameters: batch_size: 15 - epochs: 5 Accuracy: 74.81555154059775
16 Parameters: batch_size: 15 - epochs: 10 Accuracy: 78.10621211636001
17 Parameters: batch_size: 15 - epochs: 50 Accuracy: 80.17025529384999
18 Parameters: batch_size: 15 - epochs: 100 Accuracy: 78.27076026488501
19 Parameters: batch_size: 15 - epochs: 150 Accuracy: 77.56322914997372
20 Parameters: batch_size: 15 - epochs: 200 Accuracy: 76.28307898681962
21 Parameters: batch_size: 15 - epochs: 250 Accuracy: 77.38595996854245
22 Parameters: batch_size: 20 - epochs: 5 Accuracy: 75.95007196510117
23 Parameters: batch_size: 20 - epochs: 10 Accuracy: 90.21280518028472
24 Parameters: batch_size: 20 - epochs: 50 Accuracy: 78.97003916799729
25 Parameters: batch_size: 20 - epochs: 100 Accuracy: 75.85005784461165
26 Parameters: batch_size: 20 - epochs: 150 Accuracy: 79.41534805222666
27 Parameters: batch_size: 20 - epochs: 200 Accuracy: 79.98030805792439
28 Parameters: batch_size: 20 - epochs: 250 Accuracy: 79.14410597970088
29 Parameters: batch_size: 25 - epochs: 5 Accuracy: 73.40011824479267
30 Parameters: batch_size: 25 - epochs: 10 Accuracy: 78.02727942989371
31 Parameters: batch_size: 25 - epochs: 50 Accuracy: 79.26372945058904
32 Parameters: batch_size: 25 - epochs: 100 Accuracy: 80.86708909781676
33 Parameters: batch_size: 25 - epochs: 150 Accuracy: 78.66686477129707
34 Parameters: batch_size: 25 - epochs: 200 Accuracy: 74.01517325492472
35 Parameters: batch_size: 25 - epochs: 250 Accuracy: 75.24032114357912
36 Parameters: batch_size: 30 - epochs: 5 Accuracy: 74.47144966015792
37 Parameters: batch_size: 30 - epochs: 10 Accuracy: 76.28801697299963
38 Parameters: batch_size: 30 - epochs: 50 Accuracy: 78.75422807235954
39 Parameters: batch_size: 30 - epochs: 100 Accuracy: 77.50254911414522
40 Parameters: batch_size: 30 - epochs: 150 Accuracy: 83.42502946265498
41 Parameters: batch_size: 30 - epochs: 200 Accuracy: 78.37074049830865
42 Parameters: batch_size: 30 - epochs: 250 Accuracy: 76.09931610860633
43 Parameters: batch_size: 50 - epochs: 5 Accuracy: 95.44847694327072
44 Parameters: batch_size: 50 - epochs: 10 Accuracy: 90.70370633843149
45 Parameters: batch_size: 50 - epochs: 50 Accuracy: 90.73794363705736
46 Parameters: batch_size: 50 - epochs: 100 Accuracy: 110.79978111190647
47 Parameters: batch_size: 50 - epochs: 150 Accuracy: 107.89220365891869
48 Parameters: batch_size: 50 - epochs: 200 Accuracy: 85.31884925103468
49 Parameters: batch_size: 50 - epochs: 250 Accuracy: 84.84621294131308
In [96]:
ResultsData[ResultsData['Accuracy']==ResultsData['Accuracy'].max()]
Out[96]:
TrialNumber Parameters Accuracy
0 46 50-100 110.799781

Plotting the parameter search results

In [97]:
%matplotlib inline
ResultsData.plot(x='Parameters', y='Accuracy', figsize=(15,4), kind='line')
Out[97]:
<matplotlib.axes._subplots.AxesSubplot at 0x2555bf96ee0>

Generating the model using best hyperparameters

In [98]:
# create ANN model_reg
model_reg = Sequential()
# Defining the first layer of the model_reg
model_reg.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))

# Defining the Second layer of the model_reg
model_reg.add(Dense(units=5, kernel_initializer='normal', activation='relu'))

# The output neuron is a single fully connected node 
# Since we will be predicting a single number
model_reg.add(Dense(1, kernel_initializer='normal'))

# Compiling the model_reg
model_reg.compile(loss='mean_squared_error', optimizer='adam' )
In [99]:
# Fitting the ANN to the Training set
model_reg.fit(X_train, y_train ,batch_size = 5, epochs = 100, verbose=0)
Out[99]:
<tensorflow.python.keras.callbacks.History at 0x2555bdae0a0>

Generating the predictions on Testing Data

In [100]:
# Predictions on testing data
Predictions=model_reg.predict(X_test)

# Scaling the predicted Price data back to original scale
Predictions=TargetVarScalerFit.inverse_transform(Predictions)

# Scaling the y_test Price data back to original scale
y_test_orig=TargetVarScalerFit.inverse_transform(y_test)

# Scaling the test data back to original scale
Test_Data=PredictorScalerFit.inverse_transform(X_test)

TestingData=pd.DataFrame(data=Test_Data, columns=Predictors)
TestingData['Signal_Strength']=y_test_orig
TestingData['Predicted_Signal_Strength']=Predictions
TestingData.head()
Out[100]:
Parameter 1 Parameter 2 Parameter 3 Parameter 5 Parameter 6 Parameter 7 Parameter 8 Parameter 9 Parameter 10 Parameter 11 Signal_Strength Predicted_Signal_Strength
0 7.7 0.620 0.04 0.084 25.0 45.0 0.99780 3.34 0.53 9.5 5.0 5.071412
1 8.2 0.635 0.10 0.073 25.0 60.0 0.99638 3.29 0.75 10.9 6.0 5.622146
2 8.4 0.370 0.43 0.063 12.0 19.0 0.99550 3.17 0.81 11.2 7.0 6.787184
3 9.9 0.490 0.58 0.094 9.0 43.0 1.00040 3.29 0.58 9.0 5.0 4.859726
4 6.3 1.020 0.00 0.083 17.0 24.0 0.99437 3.59 0.55 11.2 4.0 4.964338

Calculating the Accuracy on Testing Data

In [101]:
# Mean Absolute Percentage Error
APE=100* (abs(TestingData['Signal_Strength']-TestingData['Predicted_Signal_Strength'])/TestingData['Signal_Strength'])
TestingData['APE']=APE
print('The Accuracy of ANN model is:', 100-np.mean(APE),'%')
TestingData.head()
The Accuracy of ANN model is: 90.98354128854615 %
Out[101]:
Parameter 1 Parameter 2 Parameter 3 Parameter 5 Parameter 6 Parameter 7 Parameter 8 Parameter 9 Parameter 10 Parameter 11 Signal_Strength Predicted_Signal_Strength APE
0 7.7 0.620 0.04 0.084 25.0 45.0 0.99780 3.34 0.53 9.5 5.0 5.071412 1.428232
1 8.2 0.635 0.10 0.073 25.0 60.0 0.99638 3.29 0.75 10.9 6.0 5.622146 6.297572
2 8.4 0.370 0.43 0.063 12.0 19.0 0.99550 3.17 0.81 11.2 7.0 6.787184 3.040225
3 9.9 0.490 0.58 0.094 9.0 43.0 1.00040 3.29 0.58 9.0 5.0 4.859726 2.805471
4 6.3 1.020 0.00 0.083 17.0 24.0 0.99437 3.59 0.55 11.2 4.0 4.964338 24.108458

Sklearn GridSearchCV

In [102]:
# Function to generate Deep ANN model 
def make_regression_ann(Optimizer_trial):
    from keras.models import Sequential
    from keras.layers import Dense
    
    model = Sequential()
    model.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))
    model.add(Dense(units=5, kernel_initializer='normal', activation='relu'))
    model.add(Dense(1, kernel_initializer='normal'))
    model.compile(loss='mean_squared_error', optimizer=Optimizer_trial)
    return model
In [103]:
from sklearn.model_selection import GridSearchCV
from keras.wrappers.scikit_learn import KerasRegressor


Parameter_Trials={'batch_size':[5,10,20,50,60],
                      'epochs':[10,20,50,100,150],
                    'Optimizer_trial':['adam', 'rmsprop']
                 }


RegModel=KerasRegressor(make_regression_ann, verbose=0)
In [104]:
from sklearn.metrics import make_scorer

# Defining a custom function to calculate accuracy
def Accuracy_Score(orig,pred):
    MAPE = np.mean(100 * (np.abs(orig-pred)/orig))
    print('#'*70,'Accuracy:', 100-MAPE)
    return(100-MAPE)

custom_Scoring=make_scorer(Accuracy_Score, greater_is_better=True)
In [105]:
# Creating the Grid search space
grid_search=GridSearchCV(estimator=RegModel, param_grid=Parameter_Trials, scoring=custom_Scoring, cv=5)
In [106]:
# Measuring how much time it took to find the best params using grid search
import time
StartTime=time.time()

# Running Grid Search for different paramenters
grid_search.fit(X_train,y_train, verbose=1)

EndTime=time.time()
print("########## Total Time Taken: ", round((EndTime-StartTime)/60), 'Minutes')
Epoch 1/10
152/152 [==============================] - 0s 873us/step - loss: 0.9983
Epoch 2/10
152/152 [==============================] - 0s 905us/step - loss: 0.7926 0s - loss: 0.830
Epoch 3/10
152/152 [==============================] - 0s 919us/step - loss: 0.6503
Epoch 4/10
152/152 [==============================] - 0s 905us/step - loss: 0.6372
Epoch 5/10
152/152 [==============================] - 0s 879us/step - loss: 0.6312
Epoch 6/10
152/152 [==============================] - 0s 912us/step - loss: 0.6253
Epoch 7/10
152/152 [==============================] - 0s 925us/step - loss: 0.6234
Epoch 8/10
152/152 [==============================] - 0s 1ms/step - loss: 0.6198
Epoch 9/10
152/152 [==============================] - 0s 873us/step - loss: 0.6177
Epoch 10/10
152/152 [==============================] - 0s 925us/step - loss: 0.6129
###################################################################### Accuracy: 66.30594376503711
Epoch 1/10
153/153 [==============================] - 0s 936us/step - loss: 0.9742
Epoch 2/10
153/153 [==============================] - 0s 834us/step - loss: 0.7782
Epoch 3/10
153/153 [==============================] - 0s 795us/step - loss: 0.6465
Epoch 4/10
153/153 [==============================] - 0s 841us/step - loss: 0.6271
Epoch 5/10
153/153 [==============================] - 0s 802us/step - loss: 0.6168
Epoch 6/10
153/153 [==============================] - 0s 841us/step - loss: 0.6084
Epoch 7/10
153/153 [==============================] - 0s 821us/step - loss: 0.6040
Epoch 8/10
153/153 [==============================] - 0s 854us/step - loss: 0.5975 0s - loss: 0.51
Epoch 9/10
153/153 [==============================] - 0s 873us/step - loss: 0.5929
Epoch 10/10
153/153 [==============================] - 0s 828us/step - loss: 0.5911
###################################################################### Accuracy: 71.18053203331428
Epoch 1/10
153/153 [==============================] - 0s 854us/step - loss: 0.9645
Epoch 2/10
153/153 [==============================] - 0s 815us/step - loss: 0.8245
Epoch 3/10
153/153 [==============================] - 0s 808us/step - loss: 0.6654
Epoch 4/10
153/153 [==============================] - 0s 834us/step - loss: 0.6192
Epoch 5/10
153/153 [==============================] - 0s 769us/step - loss: 0.6051
Epoch 6/10
153/153 [==============================] - 0s 795us/step - loss: 0.6020
Epoch 7/10
153/153 [==============================] - 0s 789us/step - loss: 0.5938
Epoch 8/10
153/153 [==============================] - 0s 854us/step - loss: 0.5893
Epoch 9/10
153/153 [==============================] - 0s 854us/step - loss: 0.5837 0s - loss: 0.55
Epoch 10/10
153/153 [==============================] - 0s 795us/step - loss: 0.5809
###################################################################### Accuracy: 88.33028191695642
Epoch 1/10
153/153 [==============================] - 0s 983us/step - loss: 0.9903
Epoch 2/10
153/153 [==============================] - 0s 828us/step - loss: 0.8732
Epoch 3/10
153/153 [==============================] - 0s 802us/step - loss: 0.8283
Epoch 4/10
153/153 [==============================] - 0s 789us/step - loss: 0.7976
Epoch 5/10
153/153 [==============================] - 0s 815us/step - loss: 0.7677
Epoch 6/10
153/153 [==============================] - 0s 828us/step - loss: 0.7440
Epoch 7/10
153/153 [==============================] - 0s 847us/step - loss: 0.7272
Epoch 8/10
153/153 [==============================] - 0s 821us/step - loss: 0.7096
Epoch 9/10
153/153 [==============================] - 0s 782us/step - loss: 0.6971
Epoch 10/10
153/153 [==============================] - 0s 776us/step - loss: 0.6842
###################################################################### Accuracy: 77.28386204096265
Epoch 1/10
153/153 [==============================] - 0s 949us/step - loss: 0.9723
Epoch 2/10
153/153 [==============================] - 0s 834us/step - loss: 0.7608
Epoch 3/10
153/153 [==============================] - 0s 815us/step - loss: 0.6530
Epoch 4/10
153/153 [==============================] - 0s 815us/step - loss: 0.6360
Epoch 5/10
153/153 [==============================] - 0s 782us/step - loss: 0.6258
Epoch 6/10
153/153 [==============================] - 0s 769us/step - loss: 0.6192
Epoch 7/10
153/153 [==============================] - 0s 789us/step - loss: 0.6117
Epoch 8/10
153/153 [==============================] - 0s 821us/step - loss: 0.6059
Epoch 9/10
153/153 [==============================] - 0s 821us/step - loss: 0.6031
Epoch 10/10
153/153 [==============================] - 0s 841us/step - loss: 0.6007
###################################################################### Accuracy: 70.26439500438426
Epoch 1/20
152/152 [==============================] - 0s 856us/step - loss: 1.0060
Epoch 2/20
152/152 [==============================] - 0s 748us/step - loss: 0.8034
Epoch 3/20
152/152 [==============================] - 0s 820us/step - loss: 0.6591
Epoch 4/20
152/152 [==============================] - 0s 794us/step - loss: 0.6314
Epoch 5/20
152/152 [==============================] - 0s 768us/step - loss: 0.6206
Epoch 6/20
152/152 [==============================] - 0s 768us/step - loss: 0.6145
Epoch 7/20
152/152 [==============================] - 0s 800us/step - loss: 0.6058
Epoch 8/20
152/152 [==============================] - 0s 774us/step - loss: 0.5996
Epoch 9/20
152/152 [==============================] - 0s 728us/step - loss: 0.5944
Epoch 10/20
152/152 [==============================] - 0s 774us/step - loss: 0.5885
Epoch 11/20
152/152 [==============================] - 0s 774us/step - loss: 0.5844
Epoch 12/20
152/152 [==============================] - 0s 761us/step - loss: 0.5815
Epoch 13/20
152/152 [==============================] - 0s 768us/step - loss: 0.5775
Epoch 14/20
152/152 [==============================] - 0s 768us/step - loss: 0.5745
Epoch 15/20
152/152 [==============================] - 0s 748us/step - loss: 0.5745
Epoch 16/20
152/152 [==============================] - 0s 807us/step - loss: 0.5713
Epoch 17/20
152/152 [==============================] - 0s 781us/step - loss: 0.5688
Epoch 18/20
152/152 [==============================] - 0s 768us/step - loss: 0.5684
Epoch 19/20
152/152 [==============================] - 0s 781us/step - loss: 0.5676
Epoch 20/20
152/152 [==============================] - 0s 794us/step - loss: 0.5658
###################################################################### Accuracy: 71.04462072310207
Epoch 1/20
153/153 [==============================] - 0s 907us/step - loss: 0.9648
Epoch 2/20
153/153 [==============================] - 0s 821us/step - loss: 0.7809
Epoch 3/20
153/153 [==============================] - 0s 795us/step - loss: 0.6691
Epoch 4/20
153/153 [==============================] - 0s 1ms/step - loss: 0.6494
Epoch 5/20
153/153 [==============================] - 0s 906us/step - loss: 0.6412
Epoch 6/20
153/153 [==============================] - 0s 952us/step - loss: 0.6347
Epoch 7/20
153/153 [==============================] - 0s 687us/step - loss: 0.6309
Epoch 8/20
153/153 [==============================] - 0s 613us/step - loss: 0.6249
Epoch 9/20
153/153 [==============================] - 0s 817us/step - loss: 0.6177
Epoch 10/20
153/153 [==============================] - 0s 715us/step - loss: 0.6129
Epoch 11/20
153/153 [==============================] - 0s 715us/step - loss: 0.6067
Epoch 12/20
153/153 [==============================] - 0s 715us/step - loss: 0.6020
Epoch 13/20
153/153 [==============================] - 0s 933us/step - loss: 0.5976
Epoch 14/20
153/153 [==============================] - 0s 1ms/step - loss: 0.5942
Epoch 15/20
153/153 [==============================] - 0s 1ms/step - loss: 0.5897
Epoch 16/20
153/153 [==============================] - 0s 900us/step - loss: 0.5881
Epoch 17/20
153/153 [==============================] - 0s 867us/step - loss: 0.5833
Epoch 18/20
153/153 [==============================] - 0s 808us/step - loss: 0.5824
Epoch 19/20
153/153 [==============================] - 0s 880us/step - loss: 0.5811
Epoch 20/20
153/153 [==============================] - 0s 834us/step - loss: 0.5796
###################################################################### Accuracy: 71.32072443857598
Epoch 1/20
153/153 [==============================] - 0s 902us/step - loss: 0.9616
Epoch 2/20
153/153 [==============================] - 0s 873us/step - loss: 0.7792
Epoch 3/20
153/153 [==============================] - 0s 847us/step - loss: 0.6353
Epoch 4/20
153/153 [==============================] - 0s 854us/step - loss: 0.6088
Epoch 5/20
153/153 [==============================] - 0s 841us/step - loss: 0.6017
Epoch 6/20
153/153 [==============================] - 0s 880us/step - loss: 0.5922
Epoch 7/20
153/153 [==============================] - 0s 887us/step - loss: 0.5852
Epoch 8/20
153/153 [==============================] - 0s 841us/step - loss: 0.5857
Epoch 9/20
153/153 [==============================] - 0s 851us/step - loss: 0.5777
Epoch 10/20
153/153 [==============================] - 0s 808us/step - loss: 0.5748
Epoch 11/20
153/153 [==============================] - 0s 828us/step - loss: 0.5724
Epoch 12/20
153/153 [==============================] - 0s 815us/step - loss: 0.5721
Epoch 13/20
153/153 [==============================] - 0s 854us/step - loss: 0.5663
Epoch 14/20
153/153 [==============================] - 0s 834us/step - loss: 0.5678
Epoch 15/20
153/153 [==============================] - 0s 841us/step - loss: 0.5643
Epoch 16/20
153/153 [==============================] - 0s 808us/step - loss: 0.5616
Epoch 17/20
153/153 [==============================] - 0s 815us/step - loss: 0.5619
Epoch 18/20
153/153 [==============================] - 0s 815us/step - loss: 0.5577
Epoch 19/20
153/153 [==============================] - 0s 789us/step - loss: 0.5573
Epoch 20/20
153/153 [==============================] - 0s 828us/step - loss: 0.5551
###################################################################### Accuracy: 92.59763592191118
Epoch 1/20
153/153 [==============================] - 0s 889us/step - loss: 0.9980
Epoch 2/20
153/153 [==============================] - 0s 847us/step - loss: 0.7592
Epoch 3/20
153/153 [==============================] - 0s 815us/step - loss: 0.6548
Epoch 4/20
153/153 [==============================] - 0s 776us/step - loss: 0.6404
Epoch 5/20
153/153 [==============================] - 0s 808us/step - loss: 0.6362
Epoch 6/20
153/153 [==============================] - 0s 815us/step - loss: 0.6269
Epoch 7/20
153/153 [==============================] - 0s 782us/step - loss: 0.6274
Epoch 8/20
153/153 [==============================] - 0s 789us/step - loss: 0.6227
Epoch 9/20
153/153 [==============================] - 0s 802us/step - loss: 0.6186
Epoch 10/20
153/153 [==============================] - 0s 815us/step - loss: 0.6155
Epoch 11/20
153/153 [==============================] - 0s 782us/step - loss: 0.6128
Epoch 12/20
153/153 [==============================] - 0s 821us/step - loss: 0.6117
Epoch 13/20
153/153 [==============================] - 0s 782us/step - loss: 0.6108
Epoch 14/20
153/153 [==============================] - 0s 808us/step - loss: 0.6071
Epoch 15/20
153/153 [==============================] - 0s 782us/step - loss: 0.6078
Epoch 16/20
153/153 [==============================] - 0s 821us/step - loss: 0.6027
Epoch 17/20
153/153 [==============================] - 0s 769us/step - loss: 0.6033
Epoch 18/20
153/153 [==============================] - 0s 808us/step - loss: 0.6007
Epoch 19/20
153/153 [==============================] - 0s 815us/step - loss: 0.6007
Epoch 20/20
153/153 [==============================] - 0s 763us/step - loss: 0.5984
###################################################################### Accuracy: 72.55102504184441
Epoch 1/20
153/153 [==============================] - 0s 881us/step - loss: 0.9953
Epoch 2/20
153/153 [==============================] - 0s 854us/step - loss: 0.8879
Epoch 3/20
153/153 [==============================] - 0s 834us/step - loss: 0.8160
Epoch 4/20
153/153 [==============================] - 0s 828us/step - loss: 0.7786
Epoch 5/20
153/153 [==============================] - 0s 847us/step - loss: 0.7527
Epoch 6/20
153/153 [==============================] - 0s 847us/step - loss: 0.7290
Epoch 7/20
153/153 [==============================] - 0s 854us/step - loss: 0.7104
Epoch 8/20
153/153 [==============================] - 0s 841us/step - loss: 0.6934
Epoch 9/20
153/153 [==============================] - 0s 834us/step - loss: 0.6793
Epoch 10/20
153/153 [==============================] - 0s 795us/step - loss: 0.6663
Epoch 11/20
153/153 [==============================] - 0s 795us/step - loss: 0.6591
Epoch 12/20
153/153 [==============================] - 0s 802us/step - loss: 0.6489
Epoch 13/20
153/153 [==============================] - 0s 841us/step - loss: 0.6407
Epoch 14/20
153/153 [==============================] - 0s 802us/step - loss: 0.6360
Epoch 15/20
153/153 [==============================] - 0s 802us/step - loss: 0.6275
Epoch 16/20
153/153 [==============================] - 0s 834us/step - loss: 0.6217
Epoch 17/20
153/153 [==============================] - 0s 802us/step - loss: 0.6198
Epoch 18/20
153/153 [==============================] - 0s 841us/step - loss: 0.6167 0s - loss: 0.66
Epoch 19/20
153/153 [==============================] - 0s 795us/step - loss: 0.6104
Epoch 20/20
153/153 [==============================] - 0s 841us/step - loss: 0.6072
###################################################################### Accuracy: 77.15264398078307
Epoch 1/50
152/152 [==============================] - 0s 852us/step - loss: 0.9985
Epoch 2/50
152/152 [==============================] - 0s 774us/step - loss: 0.7931
Epoch 3/50
152/152 [==============================] - 0s 735us/step - loss: 0.6530
Epoch 4/50
152/152 [==============================] - 0s 755us/step - loss: 0.6379
Epoch 5/50
152/152 [==============================] - 0s 748us/step - loss: 0.6290
Epoch 6/50
152/152 [==============================] - 0s 787us/step - loss: 0.6231
Epoch 7/50
152/152 [==============================] - 0s 807us/step - loss: 0.6162
Epoch 8/50
152/152 [==============================] - 0s 728us/step - loss: 0.6137
Epoch 9/50
152/152 [==============================] - 0s 761us/step - loss: 0.6086
Epoch 10/50
152/152 [==============================] - 0s 755us/step - loss: 0.6041
Epoch 11/50
152/152 [==============================] - 0s 755us/step - loss: 0.5987
Epoch 12/50
152/152 [==============================] - 0s 722us/step - loss: 0.5941
Epoch 13/50
152/152 [==============================] - 0s 768us/step - loss: 0.5887
Epoch 14/50
152/152 [==============================] - 0s 774us/step - loss: 0.5875
Epoch 15/50
152/152 [==============================] - 0s 774us/step - loss: 0.5845
Epoch 16/50
152/152 [==============================] - 0s 774us/step - loss: 0.5803
Epoch 17/50
152/152 [==============================] - 0s 748us/step - loss: 0.5786
Epoch 18/50
152/152 [==============================] - 0s 755us/step - loss: 0.5778
Epoch 19/50
152/152 [==============================] - 0s 846us/step - loss: 0.5727
Epoch 20/50
152/152 [==============================] - 0s 748us/step - loss: 0.5715
Epoch 21/50
152/152 [==============================] - 0s 722us/step - loss: 0.5700
Epoch 22/50
152/152 [==============================] - 0s 761us/step - loss: 0.5687
Epoch 23/50
152/152 [==============================] - 0s 715us/step - loss: 0.5644
Epoch 24/50
152/152 [==============================] - 0s 722us/step - loss: 0.5642
Epoch 25/50
152/152 [==============================] - 0s 748us/step - loss: 0.5619
Epoch 26/50
152/152 [==============================] - 0s 741us/step - loss: 0.5607
Epoch 27/50
152/152 [==============================] - 0s 761us/step - loss: 0.5564
Epoch 28/50
152/152 [==============================] - 0s 748us/step - loss: 0.5574
Epoch 29/50
152/152 [==============================] - 0s 768us/step - loss: 0.5576
Epoch 30/50
152/152 [==============================] - 0s 728us/step - loss: 0.5535
Epoch 31/50
152/152 [==============================] - 0s 755us/step - loss: 0.5505
Epoch 32/50
152/152 [==============================] - 0s 735us/step - loss: 0.5520
Epoch 33/50
152/152 [==============================] - 0s 755us/step - loss: 0.5518
Epoch 34/50
152/152 [==============================] - 0s 741us/step - loss: 0.5497
Epoch 35/50
152/152 [==============================] - 0s 755us/step - loss: 0.5475
Epoch 36/50
152/152 [==============================] - 0s 820us/step - loss: 0.5476
Epoch 37/50
152/152 [==============================] - 0s 755us/step - loss: 0.5448
Epoch 38/50
152/152 [==============================] - 0s 761us/step - loss: 0.5456
Epoch 39/50
152/152 [==============================] - 0s 722us/step - loss: 0.5434
Epoch 40/50
152/152 [==============================] - 0s 768us/step - loss: 0.5441
Epoch 41/50
152/152 [==============================] - 0s 748us/step - loss: 0.5430
Epoch 42/50
152/152 [==============================] - 0s 761us/step - loss: 0.5412
Epoch 43/50
152/152 [==============================] - 0s 807us/step - loss: 0.5408
Epoch 44/50
152/152 [==============================] - 0s 774us/step - loss: 0.5402
Epoch 45/50
152/152 [==============================] - 0s 781us/step - loss: 0.5407
Epoch 46/50
152/152 [==============================] - 0s 748us/step - loss: 0.5392
Epoch 47/50
152/152 [==============================] - 0s 781us/step - loss: 0.5403
Epoch 48/50
152/152 [==============================] - 0s 787us/step - loss: 0.5385
Epoch 49/50
152/152 [==============================] - 0s 814us/step - loss: 0.5378
Epoch 50/50
152/152 [==============================] - 0s 741us/step - loss: 0.5371
###################################################################### Accuracy: 72.0918768180284
Epoch 1/50
153/153 [==============================] - 0s 869us/step - loss: 0.9721
Epoch 2/50
153/153 [==============================] - 0s 821us/step - loss: 0.8534
Epoch 3/50
153/153 [==============================] - 0s 821us/step - loss: 0.8000
Epoch 4/50
153/153 [==============================] - 0s 782us/step - loss: 0.7696
Epoch 5/50
153/153 [==============================] - 0s 815us/step - loss: 0.7441
Epoch 6/50
153/153 [==============================] - 0s 834us/step - loss: 0.7239
Epoch 7/50
153/153 [==============================] - 0s 828us/step - loss: 0.7040
Epoch 8/50
153/153 [==============================] - 0s 795us/step - loss: 0.6916
Epoch 9/50
153/153 [==============================] - 0s 808us/step - loss: 0.6784
Epoch 10/50
153/153 [==============================] - 0s 815us/step - loss: 0.6645
Epoch 11/50
153/153 [==============================] - 0s 834us/step - loss: 0.6556
Epoch 12/50
153/153 [==============================] - 0s 782us/step - loss: 0.6483
Epoch 13/50
153/153 [==============================] - 0s 815us/step - loss: 0.6403
Epoch 14/50
153/153 [==============================] - 0s 821us/step - loss: 0.6338
Epoch 15/50
153/153 [==============================] - 0s 795us/step - loss: 0.6282
Epoch 16/50
153/153 [==============================] - 0s 789us/step - loss: 0.6236
Epoch 17/50
153/153 [==============================] - 0s 828us/step - loss: 0.6156
Epoch 18/50
153/153 [==============================] - 0s 815us/step - loss: 0.6120
Epoch 19/50
153/153 [==============================] - 0s 821us/step - loss: 0.6074
Epoch 20/50
153/153 [==============================] - 0s 821us/step - loss: 0.6053
Epoch 21/50
153/153 [==============================] - 0s 808us/step - loss: 0.5999 0s - loss: 0.61
Epoch 22/50
153/153 [==============================] - 0s 821us/step - loss: 0.5894
Epoch 23/50
153/153 [==============================] - 0s 834us/step - loss: 0.5846
Epoch 24/50
153/153 [==============================] - 0s 847us/step - loss: 0.5808
Epoch 25/50
153/153 [==============================] - 0s 828us/step - loss: 0.5770
Epoch 26/50
153/153 [==============================] - 0s 860us/step - loss: 0.5754
Epoch 27/50
153/153 [==============================] - 0s 808us/step - loss: 0.5762
Epoch 28/50
153/153 [==============================] - 0s 808us/step - loss: 0.5737
Epoch 29/50
153/153 [==============================] - 0s 828us/step - loss: 0.5709
Epoch 30/50
153/153 [==============================] - 0s 815us/step - loss: 0.5703
Epoch 31/50
153/153 [==============================] - 0s 854us/step - loss: 0.5722
Epoch 32/50
153/153 [==============================] - 0s 828us/step - loss: 0.5669
Epoch 33/50
153/153 [==============================] - 0s 808us/step - loss: 0.5670
Epoch 34/50
153/153 [==============================] - 0s 802us/step - loss: 0.5693
Epoch 35/50
153/153 [==============================] - 0s 847us/step - loss: 0.5645
Epoch 36/50
153/153 [==============================] - 0s 880us/step - loss: 0.5660
Epoch 37/50
153/153 [==============================] - 0s 802us/step - loss: 0.5650
Epoch 38/50
153/153 [==============================] - 0s 828us/step - loss: 0.5633
Epoch 39/50
153/153 [==============================] - 0s 828us/step - loss: 0.5634
Epoch 40/50
153/153 [==============================] - 0s 834us/step - loss: 0.5643
Epoch 41/50
153/153 [==============================] - 0s 795us/step - loss: 0.5631
Epoch 42/50
153/153 [==============================] - 0s 789us/step - loss: 0.5588
Epoch 43/50
153/153 [==============================] - 0s 782us/step - loss: 0.5619
Epoch 44/50
153/153 [==============================] - 0s 821us/step - loss: 0.5592
Epoch 45/50
153/153 [==============================] - 0s 834us/step - loss: 0.5567
Epoch 46/50
153/153 [==============================] - 0s 828us/step - loss: 0.5614
Epoch 47/50
153/153 [==============================] - 0s 802us/step - loss: 0.5607
Epoch 48/50
153/153 [==============================] - 0s 815us/step - loss: 0.5580
Epoch 49/50
153/153 [==============================] - 0s 841us/step - loss: 0.5584
Epoch 50/50
153/153 [==============================] - 0s 815us/step - loss: 0.5599
###################################################################### Accuracy: 70.49817063672202
Epoch 1/50
153/153 [==============================] - 0s 828us/step - loss: 0.9500
Epoch 2/50
153/153 [==============================] - 0s 834us/step - loss: 0.7329
Epoch 3/50
153/153 [==============================] - 0s 860us/step - loss: 0.6270
Epoch 4/50
153/153 [==============================] - 0s 795us/step - loss: 0.6166
Epoch 5/50
153/153 [==============================] - 0s 834us/step - loss: 0.6072
Epoch 6/50
153/153 [==============================] - 0s 841us/step - loss: 0.6018
Epoch 7/50
153/153 [==============================] - 0s 808us/step - loss: 0.5971
Epoch 8/50
153/153 [==============================] - 0s 847us/step - loss: 0.5922
Epoch 9/50
153/153 [==============================] - 0s 795us/step - loss: 0.5866
Epoch 10/50
153/153 [==============================] - 0s 821us/step - loss: 0.5830
Epoch 11/50
153/153 [==============================] - 0s 834us/step - loss: 0.5804
Epoch 12/50
153/153 [==============================] - 0s 821us/step - loss: 0.5756
Epoch 13/50
153/153 [==============================] - 0s 782us/step - loss: 0.5714
Epoch 14/50
153/153 [==============================] - 0s 789us/step - loss: 0.5701
Epoch 15/50
153/153 [==============================] - 0s 821us/step - loss: 0.5660
Epoch 16/50
153/153 [==============================] - 0s 847us/step - loss: 0.5648
Epoch 17/50
153/153 [==============================] - 0s 821us/step - loss: 0.5633
Epoch 18/50
153/153 [==============================] - 0s 782us/step - loss: 0.5623
Epoch 19/50
153/153 [==============================] - 0s 802us/step - loss: 0.5622
Epoch 20/50
153/153 [==============================] - 0s 776us/step - loss: 0.5583
Epoch 21/50
153/153 [==============================] - 0s 821us/step - loss: 0.5620
Epoch 22/50
153/153 [==============================] - 0s 821us/step - loss: 0.5560
Epoch 23/50
153/153 [==============================] - 0s 854us/step - loss: 0.5559
Epoch 24/50
153/153 [==============================] - 0s 828us/step - loss: 0.5551
Epoch 25/50
153/153 [==============================] - 0s 834us/step - loss: 0.5530
Epoch 26/50
153/153 [==============================] - 0s 841us/step - loss: 0.5531
Epoch 27/50
153/153 [==============================] - 0s 834us/step - loss: 0.5528
Epoch 28/50
153/153 [==============================] - 0s 828us/step - loss: 0.5504
Epoch 29/50
153/153 [==============================] - 0s 795us/step - loss: 0.5494
Epoch 30/50
153/153 [==============================] - 0s 828us/step - loss: 0.5494
Epoch 31/50
153/153 [==============================] - 0s 860us/step - loss: 0.5476
Epoch 32/50
153/153 [==============================] - 0s 815us/step - loss: 0.5479
Epoch 33/50
153/153 [==============================] - 0s 834us/step - loss: 0.5474
Epoch 34/50
153/153 [==============================] - 0s 808us/step - loss: 0.5482
Epoch 35/50
153/153 [==============================] - 0s 828us/step - loss: 0.5435
Epoch 36/50
153/153 [==============================] - 0s 841us/step - loss: 0.5445
Epoch 37/50
153/153 [==============================] - 0s 854us/step - loss: 0.5431
Epoch 38/50
153/153 [==============================] - 0s 821us/step - loss: 0.5437
Epoch 39/50
153/153 [==============================] - 0s 828us/step - loss: 0.5431
Epoch 40/50
153/153 [==============================] - 0s 776us/step - loss: 0.5414
Epoch 41/50
153/153 [==============================] - 0s 815us/step - loss: 0.5417
Epoch 42/50
153/153 [==============================] - 0s 828us/step - loss: 0.5409
Epoch 43/50
153/153 [==============================] - 0s 795us/step - loss: 0.5403
Epoch 44/50
153/153 [==============================] - 0s 815us/step - loss: 0.5403
Epoch 45/50
153/153 [==============================] - 0s 828us/step - loss: 0.5416
Epoch 46/50
153/153 [==============================] - 0s 808us/step - loss: 0.5405
Epoch 47/50
153/153 [==============================] - 0s 808us/step - loss: 0.5412
Epoch 48/50
153/153 [==============================] - 0s 821us/step - loss: 0.5390
Epoch 49/50
153/153 [==============================] - 0s 815us/step - loss: 0.5378
Epoch 50/50
153/153 [==============================] - 0s 795us/step - loss: 0.5382
###################################################################### Accuracy: 92.4698964504009
Epoch 1/50
153/153 [==============================] - 0s 882us/step - loss: 0.9901
Epoch 2/50
153/153 [==============================] - 0s 815us/step - loss: 0.7571
Epoch 3/50
153/153 [==============================] - 0s 802us/step - loss: 0.6640
Epoch 4/50
153/153 [==============================] - 0s 789us/step - loss: 0.6481
Epoch 5/50
153/153 [==============================] - 0s 815us/step - loss: 0.6418
Epoch 6/50
153/153 [==============================] - 0s 808us/step - loss: 0.6368
Epoch 7/50
153/153 [==============================] - 0s 802us/step - loss: 0.6327
Epoch 8/50
153/153 [==============================] - 0s 782us/step - loss: 0.6269
Epoch 9/50
153/153 [==============================] - 0s 782us/step - loss: 0.6226
Epoch 10/50
153/153 [==============================] - 0s 821us/step - loss: 0.6241
Epoch 11/50
153/153 [==============================] - 0s 756us/step - loss: 0.6175
Epoch 12/50
153/153 [==============================] - 0s 802us/step - loss: 0.6148
Epoch 13/50
153/153 [==============================] - 0s 815us/step - loss: 0.6134
Epoch 14/50
153/153 [==============================] - 0s 821us/step - loss: 0.6092
Epoch 15/50
153/153 [==============================] - 0s 1ms/step - loss: 0.6073
Epoch 16/50
153/153 [==============================] - 0s 834us/step - loss: 0.6065
Epoch 17/50
153/153 [==============================] - 0s 750us/step - loss: 0.6037
Epoch 18/50
153/153 [==============================] - 0s 828us/step - loss: 0.6002
Epoch 19/50
153/153 [==============================] - 0s 776us/step - loss: 0.5970
Epoch 20/50
153/153 [==============================] - 0s 815us/step - loss: 0.5999
Epoch 21/50
153/153 [==============================] - 0s 789us/step - loss: 0.5945
Epoch 22/50
153/153 [==============================] - 0s 808us/step - loss: 0.5945
Epoch 23/50
153/153 [==============================] - 0s 821us/step - loss: 0.5948
Epoch 24/50
153/153 [==============================] - 0s 795us/step - loss: 0.5908
Epoch 25/50
153/153 [==============================] - 0s 769us/step - loss: 0.5918
Epoch 26/50
153/153 [==============================] - 0s 802us/step - loss: 0.5903
Epoch 27/50
153/153 [==============================] - 0s 821us/step - loss: 0.5839
Epoch 28/50
153/153 [==============================] - 0s 802us/step - loss: 0.5918
Epoch 29/50
153/153 [==============================] - 0s 815us/step - loss: 0.5857
Epoch 30/50
153/153 [==============================] - 0s 815us/step - loss: 0.5885
Epoch 31/50
153/153 [==============================] - 0s 769us/step - loss: 0.5848
Epoch 32/50
153/153 [==============================] - 0s 795us/step - loss: 0.5821
Epoch 33/50
153/153 [==============================] - 0s 802us/step - loss: 0.5852
Epoch 34/50
153/153 [==============================] - 0s 828us/step - loss: 0.5840
Epoch 35/50
153/153 [==============================] - 0s 808us/step - loss: 0.5840
Epoch 36/50
153/153 [==============================] - 0s 789us/step - loss: 0.5871
Epoch 37/50
153/153 [==============================] - 0s 782us/step - loss: 0.5840
Epoch 38/50
153/153 [==============================] - 0s 828us/step - loss: 0.5831
Epoch 39/50
153/153 [==============================] - 0s 802us/step - loss: 0.5834
Epoch 40/50
153/153 [==============================] - 0s 828us/step - loss: 0.5790
Epoch 41/50
153/153 [==============================] - 0s 802us/step - loss: 0.5806
Epoch 42/50
153/153 [==============================] - 0s 880us/step - loss: 0.5801
Epoch 43/50
153/153 [==============================] - 0s 795us/step - loss: 0.5789
Epoch 44/50
153/153 [==============================] - 0s 821us/step - loss: 0.5767
Epoch 45/50
153/153 [==============================] - 0s 821us/step - loss: 0.5781
Epoch 46/50
153/153 [==============================] - 0s 821us/step - loss: 0.5767
Epoch 47/50
153/153 [==============================] - 0s 802us/step - loss: 0.5773
Epoch 48/50
153/153 [==============================] - 0s 802us/step - loss: 0.5780
Epoch 49/50
153/153 [==============================] - 0s 834us/step - loss: 0.5756
Epoch 50/50
153/153 [==============================] - 0s 808us/step - loss: 0.5756 0s - loss: 0.57
###################################################################### Accuracy: 75.54155597684912
Epoch 1/50
153/153 [==============================] - 0s 889us/step - loss: 0.9675
Epoch 2/50
153/153 [==============================] - 0s 834us/step - loss: 0.7270
Epoch 3/50
153/153 [==============================] - 0s 828us/step - loss: 0.6414
Epoch 4/50
153/153 [==============================] - 0s 802us/step - loss: 0.6281
Epoch 5/50
153/153 [==============================] - 0s 841us/step - loss: 0.6176
Epoch 6/50
153/153 [==============================] - 0s 834us/step - loss: 0.6121
Epoch 7/50
153/153 [==============================] - 0s 841us/step - loss: 0.6062
Epoch 8/50
153/153 [==============================] - 0s 815us/step - loss: 0.5997
Epoch 9/50
153/153 [==============================] - 0s 808us/step - loss: 0.5963 0s - loss: 0.616
Epoch 10/50
153/153 [==============================] - 0s 795us/step - loss: 0.5903
Epoch 11/50
153/153 [==============================] - 0s 782us/step - loss: 0.5930
Epoch 12/50
153/153 [==============================] - 0s 821us/step - loss: 0.5866
Epoch 13/50
153/153 [==============================] - 0s 841us/step - loss: 0.5839
Epoch 14/50
153/153 [==============================] - 0s 847us/step - loss: 0.5799
Epoch 15/50
153/153 [==============================] - 0s 834us/step - loss: 0.5815
Epoch 16/50
153/153 [==============================] - 0s 815us/step - loss: 0.5793
Epoch 17/50
153/153 [==============================] - 0s 808us/step - loss: 0.5782
Epoch 18/50
153/153 [==============================] - 0s 795us/step - loss: 0.5755
Epoch 19/50
153/153 [==============================] - 0s 802us/step - loss: 0.5725
Epoch 20/50
153/153 [==============================] - 0s 795us/step - loss: 0.5749
Epoch 21/50
153/153 [==============================] - 0s 834us/step - loss: 0.5757
Epoch 22/50
153/153 [==============================] - 0s 821us/step - loss: 0.5721
Epoch 23/50
153/153 [==============================] - 0s 828us/step - loss: 0.5737
Epoch 24/50
153/153 [==============================] - 0s 815us/step - loss: 0.5715
Epoch 25/50
153/153 [==============================] - 0s 854us/step - loss: 0.5681
Epoch 26/50
153/153 [==============================] - 0s 808us/step - loss: 0.5692
Epoch 27/50
153/153 [==============================] - 0s 854us/step - loss: 0.5692
Epoch 28/50
153/153 [==============================] - 0s 802us/step - loss: 0.5677
Epoch 29/50
153/153 [==============================] - 0s 841us/step - loss: 0.5703
Epoch 30/50
153/153 [==============================] - 0s 854us/step - loss: 0.5659
Epoch 31/50
153/153 [==============================] - 0s 815us/step - loss: 0.5647
Epoch 32/50
153/153 [==============================] - 0s 860us/step - loss: 0.5656
Epoch 33/50
153/153 [==============================] - 0s 880us/step - loss: 0.5648
Epoch 34/50
153/153 [==============================] - 0s 802us/step - loss: 0.5625
Epoch 35/50
153/153 [==============================] - 0s 769us/step - loss: 0.5628
Epoch 36/50
153/153 [==============================] - 0s 808us/step - loss: 0.5622
Epoch 37/50
153/153 [==============================] - 0s 776us/step - loss: 0.5627
Epoch 38/50
153/153 [==============================] - 0s 776us/step - loss: 0.5611
Epoch 39/50
153/153 [==============================] - 0s 821us/step - loss: 0.5615
Epoch 40/50
153/153 [==============================] - 0s 821us/step - loss: 0.5607
Epoch 41/50
153/153 [==============================] - 0s 847us/step - loss: 0.5607
Epoch 42/50
153/153 [==============================] - 0s 815us/step - loss: 0.5577
Epoch 43/50
153/153 [==============================] - 0s 802us/step - loss: 0.5600
Epoch 44/50
153/153 [==============================] - 0s 795us/step - loss: 0.5585
Epoch 45/50
153/153 [==============================] - 0s 815us/step - loss: 0.5574
Epoch 46/50
153/153 [==============================] - 0s 802us/step - loss: 0.5606
Epoch 47/50
153/153 [==============================] - 0s 808us/step - loss: 0.5543
Epoch 48/50
153/153 [==============================] - 0s 828us/step - loss: 0.5556
Epoch 49/50
153/153 [==============================] - 0s 847us/step - loss: 0.5532
Epoch 50/50
153/153 [==============================] - 0s 815us/step - loss: 0.5530
###################################################################### Accuracy: 67.8261507560058
Epoch 1/100
152/152 [==============================] - 0s 820us/step - loss: 0.9984
Epoch 2/100
152/152 [==============================] - 0s 761us/step - loss: 0.7764
Epoch 3/100
152/152 [==============================] - 0s 807us/step - loss: 0.6512
Epoch 4/100
152/152 [==============================] - 0s 761us/step - loss: 0.6306
Epoch 5/100
152/152 [==============================] - 0s 768us/step - loss: 0.6209
Epoch 6/100
152/152 [==============================] - 0s 814us/step - loss: 0.6133
Epoch 7/100
152/152 [==============================] - 0s 840us/step - loss: 0.6019
Epoch 8/100
152/152 [==============================] - 0s 787us/step - loss: 0.5961
Epoch 9/100
152/152 [==============================] - 0s 761us/step - loss: 0.5925
Epoch 10/100
152/152 [==============================] - 0s 748us/step - loss: 0.5901
Epoch 11/100
152/152 [==============================] - 0s 800us/step - loss: 0.5844
Epoch 12/100
152/152 [==============================] - 0s 827us/step - loss: 0.5810
Epoch 13/100
152/152 [==============================] - 0s 755us/step - loss: 0.5792
Epoch 14/100
152/152 [==============================] - 0s 827us/step - loss: 0.5760
Epoch 15/100
152/152 [==============================] - 0s 787us/step - loss: 0.5726
Epoch 16/100
152/152 [==============================] - 0s 755us/step - loss: 0.5714
Epoch 17/100
152/152 [==============================] - 0s 768us/step - loss: 0.5682
Epoch 18/100
152/152 [==============================] - 0s 741us/step - loss: 0.5663
Epoch 19/100
152/152 [==============================] - 0s 761us/step - loss: 0.5621
Epoch 20/100
152/152 [==============================] - 0s 774us/step - loss: 0.5619
Epoch 21/100
152/152 [==============================] - 0s 781us/step - loss: 0.5589
Epoch 22/100
152/152 [==============================] - 0s 768us/step - loss: 0.5590
Epoch 23/100
152/152 [==============================] - 0s 794us/step - loss: 0.5558
Epoch 24/100
152/152 [==============================] - 0s 800us/step - loss: 0.5550
Epoch 25/100
152/152 [==============================] - 0s 794us/step - loss: 0.5538
Epoch 26/100
152/152 [==============================] - 0s 781us/step - loss: 0.5524
Epoch 27/100
152/152 [==============================] - 0s 748us/step - loss: 0.5528
Epoch 28/100
152/152 [==============================] - 0s 755us/step - loss: 0.5462
Epoch 29/100
152/152 [==============================] - 0s 781us/step - loss: 0.5503
Epoch 30/100
152/152 [==============================] - 0s 781us/step - loss: 0.5473
Epoch 31/100
152/152 [==============================] - 0s 787us/step - loss: 0.5474
Epoch 32/100
152/152 [==============================] - 0s 781us/step - loss: 0.5471
Epoch 33/100
152/152 [==============================] - 0s 774us/step - loss: 0.5449
Epoch 34/100
152/152 [==============================] - 0s 781us/step - loss: 0.5444
Epoch 35/100
152/152 [==============================] - 0s 814us/step - loss: 0.5412
Epoch 36/100
152/152 [==============================] - 0s 774us/step - loss: 0.5429
Epoch 37/100
152/152 [==============================] - 0s 755us/step - loss: 0.5412
Epoch 38/100
152/152 [==============================] - 0s 820us/step - loss: 0.5390
Epoch 39/100
152/152 [==============================] - 0s 781us/step - loss: 0.5353
Epoch 40/100
152/152 [==============================] - 0s 761us/step - loss: 0.5406
Epoch 41/100
152/152 [==============================] - 0s 768us/step - loss: 0.5354
Epoch 42/100
152/152 [==============================] - 0s 781us/step - loss: 0.5356
Epoch 43/100
152/152 [==============================] - 0s 768us/step - loss: 0.5354
Epoch 44/100
152/152 [==============================] - 0s 800us/step - loss: 0.5333
Epoch 45/100
152/152 [==============================] - 0s 768us/step - loss: 0.5318
Epoch 46/100
152/152 [==============================] - 0s 761us/step - loss: 0.5296
Epoch 47/100
152/152 [==============================] - 0s 774us/step - loss: 0.5313
Epoch 48/100
152/152 [==============================] - 0s 774us/step - loss: 0.5275
Epoch 49/100
152/152 [==============================] - 0s 800us/step - loss: 0.5296
Epoch 50/100
152/152 [==============================] - 0s 748us/step - loss: 0.5261
Epoch 51/100
152/152 [==============================] - 0s 768us/step - loss: 0.5260
Epoch 52/100
152/152 [==============================] - 0s 794us/step - loss: 0.5243
Epoch 53/100
152/152 [==============================] - 0s 978us/step - loss: 0.5226
Epoch 54/100
152/152 [==============================] - 0s 846us/step - loss: 0.5241
Epoch 55/100
152/152 [==============================] - 0s 787us/step - loss: 0.5212
Epoch 56/100
152/152 [==============================] - 0s 781us/step - loss: 0.5214
Epoch 57/100
152/152 [==============================] - 0s 761us/step - loss: 0.5220
Epoch 58/100
152/152 [==============================] - 0s 781us/step - loss: 0.5191
Epoch 59/100
152/152 [==============================] - 0s 905us/step - loss: 0.5183
Epoch 60/100
152/152 [==============================] - 0s 748us/step - loss: 0.5189
Epoch 61/100
152/152 [==============================] - 0s 774us/step - loss: 0.5148
Epoch 62/100
152/152 [==============================] - 0s 768us/step - loss: 0.5177
Epoch 63/100
152/152 [==============================] - 0s 774us/step - loss: 0.5169
Epoch 64/100
152/152 [==============================] - 0s 800us/step - loss: 0.5163
Epoch 65/100
152/152 [==============================] - 0s 748us/step - loss: 0.5151
Epoch 66/100
152/152 [==============================] - 0s 820us/step - loss: 0.5150
Epoch 67/100
152/152 [==============================] - 0s 774us/step - loss: 0.5172
Epoch 68/100
152/152 [==============================] - 0s 827us/step - loss: 0.5127
Epoch 69/100
152/152 [==============================] - 0s 748us/step - loss: 0.5147
Epoch 70/100
152/152 [==============================] - 0s 774us/step - loss: 0.5142
Epoch 71/100
152/152 [==============================] - 0s 800us/step - loss: 0.5131
Epoch 72/100
152/152 [==============================] - 0s 774us/step - loss: 0.5122
Epoch 73/100
152/152 [==============================] - 0s 807us/step - loss: 0.5107
Epoch 74/100
152/152 [==============================] - 0s 768us/step - loss: 0.5121
Epoch 75/100
152/152 [==============================] - 0s 814us/step - loss: 0.5091
Epoch 76/100
152/152 [==============================] - 0s 768us/step - loss: 0.5073
Epoch 77/100
152/152 [==============================] - 0s 741us/step - loss: 0.5078
Epoch 78/100
152/152 [==============================] - 0s 1ms/step - loss: 0.5081
Epoch 79/100
152/152 [==============================] - 0s 761us/step - loss: 0.5080
Epoch 80/100
152/152 [==============================] - 0s 860us/step - loss: 0.5059
Epoch 81/100
152/152 [==============================] - 0s 768us/step - loss: 0.5057
Epoch 82/100
152/152 [==============================] - 0s 722us/step - loss: 0.5049
Epoch 83/100
152/152 [==============================] - 0s 728us/step - loss: 0.5055
Epoch 84/100
152/152 [==============================] - 0s 781us/step - loss: 0.5043
Epoch 85/100
152/152 [==============================] - 0s 774us/step - loss: 0.5056
Epoch 86/100
152/152 [==============================] - 0s 820us/step - loss: 0.5052 0s - loss: 0.475
Epoch 87/100
152/152 [==============================] - 0s 787us/step - loss: 0.5044
Epoch 88/100
152/152 [==============================] - 0s 787us/step - loss: 0.5035
Epoch 89/100
152/152 [==============================] - 0s 768us/step - loss: 0.5051
Epoch 90/100
152/152 [==============================] - 0s 761us/step - loss: 0.5045
Epoch 91/100
152/152 [==============================] - 0s 800us/step - loss: 0.5034
Epoch 92/100
152/152 [==============================] - 0s 794us/step - loss: 0.5048
Epoch 93/100
152/152 [==============================] - 0s 768us/step - loss: 0.5034
Epoch 94/100
152/152 [==============================] - 0s 800us/step - loss: 0.5009
Epoch 95/100
152/152 [==============================] - 0s 761us/step - loss: 0.5011
Epoch 96/100
152/152 [==============================] - 0s 853us/step - loss: 0.5005
Epoch 97/100
152/152 [==============================] - 0s 794us/step - loss: 0.4978
Epoch 98/100
152/152 [==============================] - 0s 768us/step - loss: 0.4982
Epoch 99/100
152/152 [==============================] - ETA: 0s - loss: 0.483 - 0s 768us/step - loss: 0.4968
Epoch 100/100
152/152 [==============================] - 0s 761us/step - loss: 0.4985
###################################################################### Accuracy: 69.87370836850336
Epoch 1/100
153/153 [==============================] - 0s 880us/step - loss: 0.9661
Epoch 2/100
153/153 [==============================] - 0s 802us/step - loss: 0.7683
Epoch 3/100
153/153 [==============================] - 0s 834us/step - loss: 0.6625
Epoch 4/100
153/153 [==============================] - 0s 808us/step - loss: 0.6407
Epoch 5/100
153/153 [==============================] - 0s 815us/step - loss: 0.6290
Epoch 6/100
153/153 [==============================] - 0s 795us/step - loss: 0.6243
Epoch 7/100
153/153 [==============================] - 0s 854us/step - loss: 0.6164
Epoch 8/100
153/153 [==============================] - 0s 828us/step - loss: 0.6107
Epoch 9/100
153/153 [==============================] - 0s 821us/step - loss: 0.6094
Epoch 10/100
153/153 [==============================] - 0s 867us/step - loss: 0.6031
Epoch 11/100
153/153 [==============================] - 0s 815us/step - loss: 0.6005
Epoch 12/100
153/153 [==============================] - 0s 834us/step - loss: 0.6001
Epoch 13/100
153/153 [==============================] - 0s 821us/step - loss: 0.5944
Epoch 14/100
153/153 [==============================] - 0s 815us/step - loss: 0.5900
Epoch 15/100
153/153 [==============================] - 0s 821us/step - loss: 0.5889
Epoch 16/100
153/153 [==============================] - 0s 847us/step - loss: 0.5877
Epoch 17/100
153/153 [==============================] - 0s 841us/step - loss: 0.5884
Epoch 18/100
153/153 [==============================] - 0s 873us/step - loss: 0.5823
Epoch 19/100
153/153 [==============================] - 0s 821us/step - loss: 0.5821
Epoch 20/100
153/153 [==============================] - 0s 808us/step - loss: 0.5790
Epoch 21/100
153/153 [==============================] - 0s 782us/step - loss: 0.5764
Epoch 22/100
153/153 [==============================] - 0s 834us/step - loss: 0.5781
Epoch 23/100
153/153 [==============================] - 0s 854us/step - loss: 0.5755
Epoch 24/100
153/153 [==============================] - 0s 821us/step - loss: 0.5737
Epoch 25/100
153/153 [==============================] - 0s 867us/step - loss: 0.5759
Epoch 26/100
153/153 [==============================] - 0s 808us/step - loss: 0.5712
Epoch 27/100
153/153 [==============================] - 0s 795us/step - loss: 0.5731
Epoch 28/100
153/153 [==============================] - 0s 834us/step - loss: 0.5691
Epoch 29/100
153/153 [==============================] - 0s 815us/step - loss: 0.5673
Epoch 30/100
153/153 [==============================] - 0s 828us/step - loss: 0.5694
Epoch 31/100
153/153 [==============================] - 0s 854us/step - loss: 0.5674
Epoch 32/100
153/153 [==============================] - 0s 834us/step - loss: 0.5648
Epoch 33/100
153/153 [==============================] - 0s 802us/step - loss: 0.5645
Epoch 34/100
153/153 [==============================] - 0s 808us/step - loss: 0.5648
Epoch 35/100
153/153 [==============================] - 0s 808us/step - loss: 0.5630
Epoch 36/100
153/153 [==============================] - 0s 834us/step - loss: 0.5639
Epoch 37/100
153/153 [==============================] - 0s 860us/step - loss: 0.5610
Epoch 38/100
153/153 [==============================] - 0s 795us/step - loss: 0.5607
Epoch 39/100
153/153 [==============================] - 0s 867us/step - loss: 0.5611
Epoch 40/100
153/153 [==============================] - 0s 789us/step - loss: 0.5577
Epoch 41/100
153/153 [==============================] - 0s 769us/step - loss: 0.5582
Epoch 42/100
153/153 [==============================] - 0s 834us/step - loss: 0.5653
Epoch 43/100
153/153 [==============================] - 0s 821us/step - loss: 0.5573
Epoch 44/100
153/153 [==============================] - 0s 821us/step - loss: 0.5598
Epoch 45/100
153/153 [==============================] - 0s 867us/step - loss: 0.5591
Epoch 46/100
153/153 [==============================] - 0s 815us/step - loss: 0.5572
Epoch 47/100
153/153 [==============================] - 0s 808us/step - loss: 0.5529
Epoch 48/100
153/153 [==============================] - 0s 821us/step - loss: 0.5526
Epoch 49/100
153/153 [==============================] - 0s 795us/step - loss: 0.5534
Epoch 50/100
153/153 [==============================] - 0s 789us/step - loss: 0.5550
Epoch 51/100
153/153 [==============================] - 0s 828us/step - loss: 0.5542
Epoch 52/100
153/153 [==============================] - 0s 802us/step - loss: 0.5514
Epoch 53/100
153/153 [==============================] - 0s 808us/step - loss: 0.5503
Epoch 54/100
153/153 [==============================] - 0s 821us/step - loss: 0.5506
Epoch 55/100
153/153 [==============================] - 0s 795us/step - loss: 0.5495
Epoch 56/100
153/153 [==============================] - 0s 802us/step - loss: 0.5463
Epoch 57/100
153/153 [==============================] - 0s 769us/step - loss: 0.5476
Epoch 58/100
153/153 [==============================] - 0s 815us/step - loss: 0.5467
Epoch 59/100
153/153 [==============================] - 0s 828us/step - loss: 0.5479
Epoch 60/100
153/153 [==============================] - 0s 834us/step - loss: 0.5453
Epoch 61/100
153/153 [==============================] - 0s 769us/step - loss: 0.5461
Epoch 62/100
153/153 [==============================] - 0s 834us/step - loss: 0.5439
Epoch 63/100
153/153 [==============================] - 0s 834us/step - loss: 0.5444
Epoch 64/100
153/153 [==============================] - 0s 795us/step - loss: 0.5445
Epoch 65/100
153/153 [==============================] - 0s 808us/step - loss: 0.5415
Epoch 66/100
153/153 [==============================] - 0s 828us/step - loss: 0.5444
Epoch 67/100
153/153 [==============================] - 0s 776us/step - loss: 0.5391
Epoch 68/100
153/153 [==============================] - 0s 821us/step - loss: 0.5400
Epoch 69/100
153/153 [==============================] - 0s 828us/step - loss: 0.5390
Epoch 70/100
153/153 [==============================] - 0s 841us/step - loss: 0.5399
Epoch 71/100
153/153 [==============================] - 0s 821us/step - loss: 0.5377
Epoch 72/100
153/153 [==============================] - 0s 815us/step - loss: 0.5395
Epoch 73/100
153/153 [==============================] - 0s 776us/step - loss: 0.5362
Epoch 74/100
153/153 [==============================] - 0s 769us/step - loss: 0.5378
Epoch 75/100
153/153 [==============================] - 0s 828us/step - loss: 0.5357
Epoch 76/100
153/153 [==============================] - 0s 789us/step - loss: 0.5370
Epoch 77/100
153/153 [==============================] - 0s 828us/step - loss: 0.5335
Epoch 78/100
153/153 [==============================] - 0s 789us/step - loss: 0.5349
Epoch 79/100
153/153 [==============================] - 0s 782us/step - loss: 0.5343
Epoch 80/100
153/153 [==============================] - 0s 776us/step - loss: 0.5340
Epoch 81/100
153/153 [==============================] - 0s 808us/step - loss: 0.5328
Epoch 82/100
153/153 [==============================] - 0s 991us/step - loss: 0.5311 0s - loss: 0.504
Epoch 83/100
153/153 [==============================] - 0s 945us/step - loss: 0.5299
Epoch 84/100
153/153 [==============================] - 0s 867us/step - loss: 0.5309
Epoch 85/100
153/153 [==============================] - 0s 932us/step - loss: 0.5305
Epoch 86/100
153/153 [==============================] - 0s 900us/step - loss: 0.5317
Epoch 87/100
153/153 [==============================] - 0s 887us/step - loss: 0.5288
Epoch 88/100
153/153 [==============================] - 0s 893us/step - loss: 0.5300
Epoch 89/100
153/153 [==============================] - 0s 821us/step - loss: 0.5280
Epoch 90/100
153/153 [==============================] - 0s 815us/step - loss: 0.5288
Epoch 91/100
153/153 [==============================] - 0s 880us/step - loss: 0.5299
Epoch 92/100
153/153 [==============================] - 0s 900us/step - loss: 0.5274
Epoch 93/100
153/153 [==============================] - 0s 906us/step - loss: 0.5260
Epoch 94/100
153/153 [==============================] - 0s 880us/step - loss: 0.5233
Epoch 95/100
153/153 [==============================] - 0s 893us/step - loss: 0.5249
Epoch 96/100
153/153 [==============================] - 0s 887us/step - loss: 0.5263
Epoch 97/100
153/153 [==============================] - 0s 880us/step - loss: 0.5247
Epoch 98/100
153/153 [==============================] - 0s 900us/step - loss: 0.5233
Epoch 99/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5298
Epoch 100/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5233
###################################################################### Accuracy: 71.92920922456668
Epoch 1/100
153/153 [==============================] - 0s 956us/step - loss: 0.9425
Epoch 2/100
153/153 [==============================] - 0s 900us/step - loss: 0.7025
Epoch 3/100
153/153 [==============================] - ETA: 0s - loss: 0.630 - 0s 913us/step - loss: 0.6285
Epoch 4/100
153/153 [==============================] - 0s 873us/step - loss: 0.6154
Epoch 5/100
153/153 [==============================] - 0s 867us/step - loss: 0.6111
Epoch 6/100
153/153 [==============================] - 0s 932us/step - loss: 0.6021
Epoch 7/100
153/153 [==============================] - 0s 939us/step - loss: 0.5992
Epoch 8/100
153/153 [==============================] - 0s 919us/step - loss: 0.5938
Epoch 9/100
153/153 [==============================] - 0s 906us/step - loss: 0.5906
Epoch 10/100
153/153 [==============================] - 0s 880us/step - loss: 0.5889
Epoch 11/100
153/153 [==============================] - 0s 906us/step - loss: 0.5825
Epoch 12/100
153/153 [==============================] - 0s 906us/step - loss: 0.5853
Epoch 13/100
153/153 [==============================] - 0s 939us/step - loss: 0.5774
Epoch 14/100
153/153 [==============================] - 0s 834us/step - loss: 0.5790
Epoch 15/100
153/153 [==============================] - 0s 906us/step - loss: 0.5727
Epoch 16/100
153/153 [==============================] - 0s 860us/step - loss: 0.5727
Epoch 17/100
153/153 [==============================] - 0s 945us/step - loss: 0.5700
Epoch 18/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5671
Epoch 19/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5661
Epoch 20/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5648
Epoch 21/100
153/153 [==============================] - 0s 965us/step - loss: 0.5646
Epoch 22/100
153/153 [==============================] - 0s 984us/step - loss: 0.5639
Epoch 23/100
153/153 [==============================] - 0s 978us/step - loss: 0.5630
Epoch 24/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5586
Epoch 25/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5613
Epoch 26/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5609
Epoch 27/100
153/153 [==============================] - 0s 952us/step - loss: 0.5575
Epoch 28/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5583
Epoch 29/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5555
Epoch 30/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5570
Epoch 31/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5531
Epoch 32/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5506
Epoch 33/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5515
Epoch 34/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5526
Epoch 35/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5492
Epoch 36/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5484
Epoch 37/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5485
Epoch 38/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5477
Epoch 39/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5498
Epoch 40/100
153/153 [==============================] - 0s 932us/step - loss: 0.5461
Epoch 41/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5464
Epoch 42/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5496
Epoch 43/100
153/153 [==============================] - 0s 978us/step - loss: 0.5490
Epoch 44/100
153/153 [==============================] - 0s 958us/step - loss: 0.5462
Epoch 45/100
153/153 [==============================] - 0s 913us/step - loss: 0.5439
Epoch 46/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5450
Epoch 47/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5446
Epoch 48/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5415
Epoch 49/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5441
Epoch 50/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5455
Epoch 51/100
153/153 [==============================] - 0s 873us/step - loss: 0.5394
Epoch 52/100
153/153 [==============================] - ETA: 0s - loss: 0.555 - 0s 945us/step - loss: 0.5399
Epoch 53/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5388
Epoch 54/100
153/153 [==============================] - 0s 893us/step - loss: 0.5376
Epoch 55/100
153/153 [==============================] - 0s 880us/step - loss: 0.5377
Epoch 56/100
153/153 [==============================] - 0s 984us/step - loss: 0.5367
Epoch 57/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5387
Epoch 58/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5376
Epoch 59/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5383
Epoch 60/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5371
Epoch 61/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5376
Epoch 62/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5354
Epoch 63/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5347
Epoch 64/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5338
Epoch 65/100
153/153 [==============================] - 0s 913us/step - loss: 0.5335
Epoch 66/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5334
Epoch 67/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5328
Epoch 68/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5315
Epoch 69/100
153/153 [==============================] - 0s 906us/step - loss: 0.5308
Epoch 70/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5302
Epoch 71/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5331
Epoch 72/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5292
Epoch 73/100
153/153 [==============================] - 0s 3ms/step - loss: 0.5298
Epoch 74/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5291
Epoch 75/100
153/153 [==============================] - 0s 952us/step - loss: 0.5276
Epoch 76/100
153/153 [==============================] - 0s 880us/step - loss: 0.5319
Epoch 77/100
153/153 [==============================] - 0s 945us/step - loss: 0.5284
Epoch 78/100
153/153 [==============================] - 0s 919us/step - loss: 0.5238
Epoch 79/100
153/153 [==============================] - 0s 847us/step - loss: 0.5264
Epoch 80/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5282
Epoch 81/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5241
Epoch 82/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5274
Epoch 83/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5256
Epoch 84/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5280
Epoch 85/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5245
Epoch 86/100
153/153 [==============================] - 0s 860us/step - loss: 0.5262
Epoch 87/100
153/153 [==============================] - 0s 939us/step - loss: 0.5237
Epoch 88/100
153/153 [==============================] - 0s 887us/step - loss: 0.5227
Epoch 89/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5235
Epoch 90/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5222
Epoch 91/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5226
Epoch 92/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5217
Epoch 93/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5236
Epoch 94/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5197
Epoch 95/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5237
Epoch 96/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5200
Epoch 97/100
153/153 [==============================] - 0s 841us/step - loss: 0.5233
Epoch 98/100
153/153 [==============================] - 0s 841us/step - loss: 0.5217
Epoch 99/100
153/153 [==============================] - 0s 834us/step - loss: 0.5220
Epoch 100/100
153/153 [==============================] - 0s 847us/step - loss: 0.5229
###################################################################### Accuracy: 87.49635733806471
Epoch 1/100
153/153 [==============================] - 0s 1ms/step - loss: 0.9944
Epoch 2/100
153/153 [==============================] - 0s 913us/step - loss: 0.7504
Epoch 3/100
153/153 [==============================] - 0s 971us/step - loss: 0.6565
Epoch 4/100
153/153 [==============================] - 0s 958us/step - loss: 0.6436
Epoch 5/100
153/153 [==============================] - 0s 932us/step - loss: 0.6377
Epoch 6/100
153/153 [==============================] - 0s 913us/step - loss: 0.6301
Epoch 7/100
153/153 [==============================] - 0s 945us/step - loss: 0.6262
Epoch 8/100
153/153 [==============================] - 0s 919us/step - loss: 0.6227
Epoch 9/100
153/153 [==============================] - 0s 2ms/step - loss: 0.6198
Epoch 10/100
153/153 [==============================] - 0s 1ms/step - loss: 0.6177
Epoch 11/100
153/153 [==============================] - 0s 906us/step - loss: 0.6131
Epoch 12/100
153/153 [==============================] - 0s 2ms/step - loss: 0.6112
Epoch 13/100
153/153 [==============================] - 0s 991us/step - loss: 0.6079
Epoch 14/100
153/153 [==============================] - 0s 965us/step - loss: 0.6069
Epoch 15/100
153/153 [==============================] - 0s 2ms/step - loss: 0.6040
Epoch 16/100
153/153 [==============================] - 0s 2ms/step - loss: 0.6050
Epoch 17/100
153/153 [==============================] - 0s 1ms/step - loss: 0.6008
Epoch 18/100
153/153 [==============================] - 0s 1ms/step - loss: 0.6003
Epoch 19/100
153/153 [==============================] - 0s 893us/step - loss: 0.5971
Epoch 20/100
153/153 [==============================] - 0s 860us/step - loss: 0.5991
Epoch 21/100
153/153 [==============================] - 0s 860us/step - loss: 0.5958
Epoch 22/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5976
Epoch 23/100
153/153 [==============================] - 0s 971us/step - loss: 0.5944
Epoch 24/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5948
Epoch 25/100
153/153 [==============================] - 0s 893us/step - loss: 0.5905
Epoch 26/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5908
Epoch 27/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5896
Epoch 28/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5894
Epoch 29/100
153/153 [==============================] - ETA: 0s - loss: 0.592 - 0s 1ms/step - loss: 0.5862
Epoch 30/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5917
Epoch 31/100
153/153 [==============================] - 0s 860us/step - loss: 0.5847
Epoch 32/100
153/153 [==============================] - 0s 873us/step - loss: 0.5851
Epoch 33/100
153/153 [==============================] - 0s 978us/step - loss: 0.5827
Epoch 34/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5815
Epoch 35/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5829
Epoch 36/100
153/153 [==============================] - 0s 919us/step - loss: 0.5735
Epoch 37/100
153/153 [==============================] - 0s 945us/step - loss: 0.5777
Epoch 38/100
153/153 [==============================] - 0s 860us/step - loss: 0.5788
Epoch 39/100
153/153 [==============================] - 0s 919us/step - loss: 0.5793
Epoch 40/100
153/153 [==============================] - 0s 887us/step - loss: 0.5763
Epoch 41/100
153/153 [==============================] - 0s 867us/step - loss: 0.5741
Epoch 42/100
153/153 [==============================] - 0s 867us/step - loss: 0.5743
Epoch 43/100
153/153 [==============================] - 0s 834us/step - loss: 0.5740
Epoch 44/100
153/153 [==============================] - 0s 815us/step - loss: 0.5730
Epoch 45/100
153/153 [==============================] - 0s 841us/step - loss: 0.5725
Epoch 46/100
153/153 [==============================] - 0s 834us/step - loss: 0.5672
Epoch 47/100
153/153 [==============================] - 0s 847us/step - loss: 0.5678
Epoch 48/100
153/153 [==============================] - 0s 854us/step - loss: 0.5680
Epoch 49/100
153/153 [==============================] - 0s 841us/step - loss: 0.5659
Epoch 50/100
153/153 [==============================] - 0s 841us/step - loss: 0.5710
Epoch 51/100
153/153 [==============================] - 0s 860us/step - loss: 0.5655
Epoch 52/100
153/153 [==============================] - 0s 841us/step - loss: 0.5645
Epoch 53/100
153/153 [==============================] - 0s 887us/step - loss: 0.5673
Epoch 54/100
153/153 [==============================] - 0s 978us/step - loss: 0.5589
Epoch 55/100
153/153 [==============================] - 0s 939us/step - loss: 0.5613
Epoch 56/100
153/153 [==============================] - 0s 860us/step - loss: 0.5595
Epoch 57/100
153/153 [==============================] - 0s 860us/step - loss: 0.5623
Epoch 58/100
153/153 [==============================] - 0s 854us/step - loss: 0.5590
Epoch 59/100
153/153 [==============================] - 0s 860us/step - loss: 0.5577
Epoch 60/100
153/153 [==============================] - 0s 847us/step - loss: 0.5557
Epoch 61/100
153/153 [==============================] - 0s 821us/step - loss: 0.5562
Epoch 62/100
153/153 [==============================] - 0s 854us/step - loss: 0.5537
Epoch 63/100
153/153 [==============================] - 0s 952us/step - loss: 0.5540
Epoch 64/100
153/153 [==============================] - 0s 971us/step - loss: 0.5521
Epoch 65/100
153/153 [==============================] - 0s 847us/step - loss: 0.5526
Epoch 66/100
153/153 [==============================] - 0s 860us/step - loss: 0.5505
Epoch 67/100
153/153 [==============================] - 0s 880us/step - loss: 0.5496
Epoch 68/100
153/153 [==============================] - 0s 867us/step - loss: 0.5489
Epoch 69/100
153/153 [==============================] - 0s 945us/step - loss: 0.5456
Epoch 70/100
153/153 [==============================] - 0s 913us/step - loss: 0.5464
Epoch 71/100
153/153 [==============================] - 0s 919us/step - loss: 0.5451
Epoch 72/100
153/153 [==============================] - 0s 880us/step - loss: 0.5437
Epoch 73/100
153/153 [==============================] - 0s 906us/step - loss: 0.5447
Epoch 74/100
153/153 [==============================] - 0s 893us/step - loss: 0.5425
Epoch 75/100
153/153 [==============================] - 0s 900us/step - loss: 0.5392
Epoch 76/100
153/153 [==============================] - 0s 913us/step - loss: 0.5423
Epoch 77/100
153/153 [==============================] - 0s 945us/step - loss: 0.5394
Epoch 78/100
153/153 [==============================] - 0s 919us/step - loss: 0.5405
Epoch 79/100
153/153 [==============================] - 0s 867us/step - loss: 0.5386
Epoch 80/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5358
Epoch 81/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5362
Epoch 82/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5340
Epoch 83/100
153/153 [==============================] - 0s 2ms/step - loss: 0.5327
Epoch 84/100
153/153 [==============================] - 0s 952us/step - loss: 0.5302
Epoch 85/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5307
Epoch 86/100
153/153 [==============================] - 0s 893us/step - loss: 0.5297
Epoch 87/100
153/153 [==============================] - 0s 906us/step - loss: 0.5287
Epoch 88/100
153/153 [==============================] - 0s 913us/step - loss: 0.5283
Epoch 89/100
153/153 [==============================] - 0s 887us/step - loss: 0.5310
Epoch 90/100
153/153 [==============================] - 0s 887us/step - loss: 0.5341
Epoch 91/100
153/153 [==============================] - 0s 854us/step - loss: 0.5220
Epoch 92/100
153/153 [==============================] - 0s 841us/step - loss: 0.5227
Epoch 93/100
153/153 [==============================] - 0s 795us/step - loss: 0.5208
Epoch 94/100
153/153 [==============================] - 0s 834us/step - loss: 0.5240
Epoch 95/100
153/153 [==============================] - 0s 867us/step - loss: 0.5221
Epoch 96/100
153/153 [==============================] - 0s 834us/step - loss: 0.5247
Epoch 97/100
153/153 [==============================] - 0s 984us/step - loss: 0.5209
Epoch 98/100
153/153 [==============================] - 0s 860us/step - loss: 0.5203
Epoch 99/100
153/153 [==============================] - 0s 841us/step - loss: 0.5179
Epoch 100/100
153/153 [==============================] - 0s 854us/step - loss: 0.5192
###################################################################### Accuracy: 75.71207760540644
Epoch 1/100
153/153 [==============================] - 0s 901us/step - loss: 0.9768
Epoch 2/100
153/153 [==============================] - 0s 866us/step - loss: 0.7570
Epoch 3/100
153/153 [==============================] - 0s 828us/step - loss: 0.6470
Epoch 4/100
153/153 [==============================] - 0s 828us/step - loss: 0.6312
Epoch 5/100
153/153 [==============================] - 0s 860us/step - loss: 0.6210
Epoch 6/100
153/153 [==============================] - 0s 867us/step - loss: 0.6162
Epoch 7/100
153/153 [==============================] - 0s 945us/step - loss: 0.6071
Epoch 8/100
153/153 [==============================] - 0s 958us/step - loss: 0.6051
Epoch 9/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5977
Epoch 10/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5953
Epoch 11/100
153/153 [==============================] - 0s 932us/step - loss: 0.5890
Epoch 12/100
153/153 [==============================] - 0s 900us/step - loss: 0.5900
Epoch 13/100
153/153 [==============================] - 0s 926us/step - loss: 0.5860
Epoch 14/100
153/153 [==============================] - 0s 926us/step - loss: 0.5830
Epoch 15/100
153/153 [==============================] - 0s 841us/step - loss: 0.5827
Epoch 16/100
153/153 [==============================] - 0s 952us/step - loss: 0.5806
Epoch 17/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5763
Epoch 18/100
153/153 [==============================] - 0s 821us/step - loss: 0.5745
Epoch 19/100
153/153 [==============================] - 0s 821us/step - loss: 0.5738
Epoch 20/100
153/153 [==============================] - 0s 808us/step - loss: 0.5742
Epoch 21/100
153/153 [==============================] - 0s 821us/step - loss: 0.5708
Epoch 22/100
153/153 [==============================] - 0s 815us/step - loss: 0.5696
Epoch 23/100
153/153 [==============================] - 0s 795us/step - loss: 0.5680
Epoch 24/100
153/153 [==============================] - 0s 776us/step - loss: 0.5688
Epoch 25/100
153/153 [==============================] - 0s 828us/step - loss: 0.5654
Epoch 26/100
153/153 [==============================] - 0s 867us/step - loss: 0.5667
Epoch 27/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5645
Epoch 28/100
153/153 [==============================] - 0s 913us/step - loss: 0.5646
Epoch 29/100
153/153 [==============================] - 0s 880us/step - loss: 0.5648
Epoch 30/100
153/153 [==============================] - 0s 906us/step - loss: 0.5614
Epoch 31/100
153/153 [==============================] - 0s 880us/step - loss: 0.5626
Epoch 32/100
153/153 [==============================] - 0s 945us/step - loss: 0.5593
Epoch 33/100
153/153 [==============================] - 0s 906us/step - loss: 0.5595
Epoch 34/100
153/153 [==============================] - 0s 867us/step - loss: 0.5620
Epoch 35/100
153/153 [==============================] - 0s 841us/step - loss: 0.5585
Epoch 36/100
153/153 [==============================] - 0s 867us/step - loss: 0.5592
Epoch 37/100
153/153 [==============================] - 0s 958us/step - loss: 0.5590
Epoch 38/100
153/153 [==============================] - 0s 860us/step - loss: 0.5559
Epoch 39/100
153/153 [==============================] - 0s 887us/step - loss: 0.5581
Epoch 40/100
153/153 [==============================] - 0s 854us/step - loss: 0.5583
Epoch 41/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5579
Epoch 42/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5566
Epoch 43/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5550
Epoch 44/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5539
Epoch 45/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5543
Epoch 46/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5553
Epoch 47/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5546
Epoch 48/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5532
Epoch 49/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5539
Epoch 50/100
153/153 [==============================] - 0s 952us/step - loss: 0.5523
Epoch 51/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5524
Epoch 52/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5521
Epoch 53/100
153/153 [==============================] - 0s 984us/step - loss: 0.5512
Epoch 54/100
153/153 [==============================] - 0s 926us/step - loss: 0.5505
Epoch 55/100
153/153 [==============================] - 0s 900us/step - loss: 0.5493
Epoch 56/100
153/153 [==============================] - 0s 860us/step - loss: 0.5495
Epoch 57/100
153/153 [==============================] - 0s 867us/step - loss: 0.5494
Epoch 58/100
153/153 [==============================] - 0s 847us/step - loss: 0.5493
Epoch 59/100
153/153 [==============================] - 0s 887us/step - loss: 0.5474
Epoch 60/100
153/153 [==============================] - 0s 984us/step - loss: 0.5477
Epoch 61/100
153/153 [==============================] - 0s 828us/step - loss: 0.5481
Epoch 62/100
153/153 [==============================] - 0s 821us/step - loss: 0.5481
Epoch 63/100
153/153 [==============================] - 0s 821us/step - loss: 0.5484
Epoch 64/100
153/153 [==============================] - 0s 860us/step - loss: 0.5486
Epoch 65/100
153/153 [==============================] - 0s 841us/step - loss: 0.5453
Epoch 66/100
153/153 [==============================] - 0s 802us/step - loss: 0.5469
Epoch 67/100
153/153 [==============================] - 0s 815us/step - loss: 0.5475
Epoch 68/100
153/153 [==============================] - 0s 807us/step - loss: 0.5442
Epoch 69/100
153/153 [==============================] - 0s 860us/step - loss: 0.5433
Epoch 70/100
153/153 [==============================] - 0s 965us/step - loss: 0.5438
Epoch 71/100
153/153 [==============================] - 0s 913us/step - loss: 0.5418
Epoch 72/100
153/153 [==============================] - 0s 887us/step - loss: 0.5421
Epoch 73/100
153/153 [==============================] - 0s 952us/step - loss: 0.5439
Epoch 74/100
153/153 [==============================] - 0s 906us/step - loss: 0.5424
Epoch 75/100
153/153 [==============================] - 0s 887us/step - loss: 0.5435
Epoch 76/100
153/153 [==============================] - 0s 919us/step - loss: 0.5407
Epoch 77/100
153/153 [==============================] - 0s 900us/step - loss: 0.5409
Epoch 78/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5383
Epoch 79/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5424
Epoch 80/100
153/153 [==============================] - 0s 971us/step - loss: 0.5382
Epoch 81/100
153/153 [==============================] - 0s 867us/step - loss: 0.5382
Epoch 82/100
153/153 [==============================] - 0s 891us/step - loss: 0.5389
Epoch 83/100
153/153 [==============================] - 0s 906us/step - loss: 0.5364
Epoch 84/100
153/153 [==============================] - 0s 860us/step - loss: 0.5377
Epoch 85/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5360
Epoch 86/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5352
Epoch 87/100
153/153 [==============================] - 0s 821us/step - loss: 0.5367
Epoch 88/100
153/153 [==============================] - 0s 802us/step - loss: 0.5366
Epoch 89/100
153/153 [==============================] - 0s 715us/step - loss: 0.5337
Epoch 90/100
153/153 [==============================] - 0s 613us/step - loss: 0.5339
Epoch 91/100
153/153 [==============================] - 0s 715us/step - loss: 0.5362
Epoch 92/100
153/153 [==============================] - 0s 817us/step - loss: 0.5336
Epoch 93/100
153/153 [==============================] - 0s 910us/step - loss: 0.5322
Epoch 94/100
153/153 [==============================] - 0s 939us/step - loss: 0.5321
Epoch 95/100
153/153 [==============================] - 0s 873us/step - loss: 0.5312
Epoch 96/100
153/153 [==============================] - 0s 828us/step - loss: 0.5314
Epoch 97/100
153/153 [==============================] - 0s 841us/step - loss: 0.5317
Epoch 98/100
153/153 [==============================] - 0s 873us/step - loss: 0.5299
Epoch 99/100
153/153 [==============================] - 0s 893us/step - loss: 0.5290
Epoch 100/100
153/153 [==============================] - 0s 834us/step - loss: 0.5285
###################################################################### Accuracy: 70.70694281665754
Epoch 1/150
152/152 [==============================] - 0s 840us/step - loss: 0.9965
Epoch 2/150
152/152 [==============================] - 0s 807us/step - loss: 0.7644
Epoch 3/150
152/152 [==============================] - 0s 794us/step - loss: 0.6436
Epoch 4/150
152/152 [==============================] - 0s 748us/step - loss: 0.6288
Epoch 5/150
152/152 [==============================] - 0s 814us/step - loss: 0.6205
Epoch 6/150
152/152 [==============================] - 0s 807us/step - loss: 0.6110
Epoch 7/150
152/152 [==============================] - 0s 755us/step - loss: 0.6046
Epoch 8/150
152/152 [==============================] - 0s 768us/step - loss: 0.6019
Epoch 9/150
152/152 [==============================] - 0s 794us/step - loss: 0.5956
Epoch 10/150
152/152 [==============================] - 0s 860us/step - loss: 0.5941
Epoch 11/150
152/152 [==============================] - 0s 735us/step - loss: 0.5911
Epoch 12/150
152/152 [==============================] - 0s 833us/step - loss: 0.5895
Epoch 13/150
152/152 [==============================] - 0s 807us/step - loss: 0.5860
Epoch 14/150
152/152 [==============================] - 0s 728us/step - loss: 0.5805
Epoch 15/150
152/152 [==============================] - 0s 800us/step - loss: 0.5790
Epoch 16/150
152/152 [==============================] - 0s 774us/step - loss: 0.5785
Epoch 17/150
152/152 [==============================] - 0s 807us/step - loss: 0.5746
Epoch 18/150
152/152 [==============================] - 0s 794us/step - loss: 0.5751
Epoch 19/150
152/152 [==============================] - 0s 768us/step - loss: 0.5729
Epoch 20/150
152/152 [==============================] - 0s 787us/step - loss: 0.5696
Epoch 21/150
152/152 [==============================] - 0s 814us/step - loss: 0.5707
Epoch 22/150
152/152 [==============================] - 0s 807us/step - loss: 0.5691
Epoch 23/150
152/152 [==============================] - 0s 800us/step - loss: 0.5686
Epoch 24/150
152/152 [==============================] - 0s 748us/step - loss: 0.5644
Epoch 25/150
152/152 [==============================] - 0s 787us/step - loss: 0.5641
Epoch 26/150
152/152 [==============================] - 0s 787us/step - loss: 0.5617
Epoch 27/150
152/152 [==============================] - 0s 787us/step - loss: 0.5633
Epoch 28/150
152/152 [==============================] - 0s 794us/step - loss: 0.5605
Epoch 29/150
152/152 [==============================] - 0s 781us/step - loss: 0.5607
Epoch 30/150
152/152 [==============================] - 0s 781us/step - loss: 0.5588
Epoch 31/150
152/152 [==============================] - 0s 807us/step - loss: 0.5562
Epoch 32/150
152/152 [==============================] - 0s 774us/step - loss: 0.5570
Epoch 33/150
152/152 [==============================] - 0s 735us/step - loss: 0.5562
Epoch 34/150
152/152 [==============================] - 0s 807us/step - loss: 0.5543
Epoch 35/150
152/152 [==============================] - 0s 787us/step - loss: 0.5551
Epoch 36/150
152/152 [==============================] - 0s 833us/step - loss: 0.5545
Epoch 37/150
152/152 [==============================] - 0s 781us/step - loss: 0.5552
Epoch 38/150
152/152 [==============================] - 0s 820us/step - loss: 0.5532
Epoch 39/150
152/152 [==============================] - 0s 781us/step - loss: 0.5521
Epoch 40/150
152/152 [==============================] - 0s 840us/step - loss: 0.5506
Epoch 41/150
152/152 [==============================] - 0s 820us/step - loss: 0.5511
Epoch 42/150
152/152 [==============================] - 0s 833us/step - loss: 0.5515
Epoch 43/150
152/152 [==============================] - 0s 741us/step - loss: 0.5515
Epoch 44/150
152/152 [==============================] - 0s 768us/step - loss: 0.5505
Epoch 45/150
152/152 [==============================] - 0s 774us/step - loss: 0.5483
Epoch 46/150
152/152 [==============================] - 0s 748us/step - loss: 0.5487
Epoch 47/150
152/152 [==============================] - 0s 833us/step - loss: 0.5469
Epoch 48/150
152/152 [==============================] - 0s 774us/step - loss: 0.5466
Epoch 49/150
152/152 [==============================] - 0s 735us/step - loss: 0.5462
Epoch 50/150
152/152 [==============================] - 0s 866us/step - loss: 0.5485
Epoch 51/150
152/152 [==============================] - 0s 879us/step - loss: 0.5473
Epoch 52/150
152/152 [==============================] - 0s 853us/step - loss: 0.5455
Epoch 53/150
152/152 [==============================] - 0s 846us/step - loss: 0.5439
Epoch 54/150
152/152 [==============================] - 0s 820us/step - loss: 0.5420
Epoch 55/150
152/152 [==============================] - 0s 932us/step - loss: 0.5451
Epoch 56/150
152/152 [==============================] - 0s 840us/step - loss: 0.5453
Epoch 57/150
152/152 [==============================] - 0s 820us/step - loss: 0.5416
Epoch 58/150
152/152 [==============================] - 0s 781us/step - loss: 0.5430
Epoch 59/150
152/152 [==============================] - 0s 755us/step - loss: 0.5418
Epoch 60/150
152/152 [==============================] - 0s 787us/step - loss: 0.5399
Epoch 61/150
152/152 [==============================] - 0s 787us/step - loss: 0.5423
Epoch 62/150
152/152 [==============================] - 0s 768us/step - loss: 0.5404
Epoch 63/150
152/152 [==============================] - 0s 794us/step - loss: 0.5394
Epoch 64/150
152/152 [==============================] - 0s 761us/step - loss: 0.5401
Epoch 65/150
152/152 [==============================] - 0s 735us/step - loss: 0.5385
Epoch 66/150
152/152 [==============================] - 0s 833us/step - loss: 0.5382
Epoch 67/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5371
Epoch 68/150
152/152 [==============================] - 0s 860us/step - loss: 0.5374
Epoch 69/150
152/152 [==============================] - 0s 873us/step - loss: 0.5375
Epoch 70/150
152/152 [==============================] - 0s 833us/step - loss: 0.5379
Epoch 71/150
152/152 [==============================] - 0s 892us/step - loss: 0.5340
Epoch 72/150
152/152 [==============================] - 0s 787us/step - loss: 0.5367
Epoch 73/150
152/152 [==============================] - 0s 820us/step - loss: 0.5384
Epoch 74/150
152/152 [==============================] - 0s 978us/step - loss: 0.5375
Epoch 75/150
152/152 [==============================] - 0s 787us/step - loss: 0.5367
Epoch 76/150
152/152 [==============================] - 0s 741us/step - loss: 0.5361
Epoch 77/150
152/152 [==============================] - 0s 757us/step - loss: 0.5334
Epoch 78/150
152/152 [==============================] - 0s 822us/step - loss: 0.5356
Epoch 79/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5339
Epoch 80/150
152/152 [==============================] - 0s 892us/step - loss: 0.5376
Epoch 81/150
152/152 [==============================] - 0s 866us/step - loss: 0.5336
Epoch 82/150
152/152 [==============================] - 0s 846us/step - loss: 0.5312
Epoch 83/150
152/152 [==============================] - 0s 945us/step - loss: 0.5314
Epoch 84/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5322
Epoch 85/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5317
Epoch 86/150
152/152 [==============================] - 0s 949us/step - loss: 0.5330
Epoch 87/150
152/152 [==============================] - 0s 800us/step - loss: 0.5316
Epoch 88/150
152/152 [==============================] - 0s 827us/step - loss: 0.5303
Epoch 89/150
152/152 [==============================] - 0s 873us/step - loss: 0.5310
Epoch 90/150
152/152 [==============================] - 0s 866us/step - loss: 0.5276
Epoch 91/150
152/152 [==============================] - 0s 827us/step - loss: 0.5291
Epoch 92/150
152/152 [==============================] - 0s 853us/step - loss: 0.5286
Epoch 93/150
152/152 [==============================] - 0s 794us/step - loss: 0.5284
Epoch 94/150
152/152 [==============================] - 0s 846us/step - loss: 0.5273
Epoch 95/150
152/152 [==============================] - 0s 840us/step - loss: 0.5275
Epoch 96/150
152/152 [==============================] - 0s 820us/step - loss: 0.5283
Epoch 97/150
152/152 [==============================] - 0s 814us/step - loss: 0.5252
Epoch 98/150
152/152 [==============================] - 0s 840us/step - loss: 0.5259
Epoch 99/150
152/152 [==============================] - 0s 971us/step - loss: 0.5242
Epoch 100/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5255
Epoch 101/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5246
Epoch 102/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5234
Epoch 103/150
152/152 [==============================] - 0s 945us/step - loss: 0.5214
Epoch 104/150
152/152 [==============================] - 0s 991us/step - loss: 0.5217
Epoch 105/150
152/152 [==============================] - 0s 866us/step - loss: 0.5211
Epoch 106/150
152/152 [==============================] - 0s 807us/step - loss: 0.5241
Epoch 107/150
152/152 [==============================] - 0s 873us/step - loss: 0.5200
Epoch 108/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5204
Epoch 109/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5190
Epoch 110/150
152/152 [==============================] - 0s 938us/step - loss: 0.5195
Epoch 111/150
152/152 [==============================] - 0s 991us/step - loss: 0.5193
Epoch 112/150
152/152 [==============================] - 0s 912us/step - loss: 0.5190
Epoch 113/150
152/152 [==============================] - 0s 853us/step - loss: 0.5156
Epoch 114/150
152/152 [==============================] - 0s 853us/step - loss: 0.5176
Epoch 115/150
152/152 [==============================] - 0s 873us/step - loss: 0.5158
Epoch 116/150
152/152 [==============================] - 0s 919us/step - loss: 0.5172
Epoch 117/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5143
Epoch 118/150
152/152 [==============================] - 0s 1ms/step - loss: 0.5147
Epoch 119/150
152/152 [==============================] - 0s 899us/step - loss: 0.5131
Epoch 120/150
152/152 [==============================] - 0s 938us/step - loss: 0.5143
Epoch 121/150
152/152 [==============================] - 0s 919us/step - loss: 0.5135
Epoch 122/150
152/152 [==============================] - 0s 879us/step - loss: 0.5115
Epoch 123/150
152/152 [==============================] - 0s 860us/step - loss: 0.5111
Epoch 124/150
152/152 [==============================] - 0s 886us/step - loss: 0.5097
Epoch 125/150
152/152 [==============================] - 0s 827us/step - loss: 0.5106
Epoch 126/150
152/152 [==============================] - 0s 879us/step - loss: 0.5105
Epoch 127/150
152/152 [==============================] - 0s 860us/step - loss: 0.5111
Epoch 128/150
152/152 [==============================] - 0s 938us/step - loss: 0.5093
Epoch 129/150
152/152 [==============================] - 0s 951us/step - loss: 0.5080
Epoch 130/150
152/152 [==============================] - 0s 938us/step - loss: 0.5072
Epoch 131/150
152/152 [==============================] - 0s 886us/step - loss: 0.5071
Epoch 132/150
152/152 [==============================] - 0s 879us/step - loss: 0.5055
Epoch 133/150
152/152 [==============================] - 0s 820us/step - loss: 0.5098
Epoch 134/150
152/152 [==============================] - 0s 912us/step - loss: 0.5105
Epoch 135/150
152/152 [==============================] - 0s 820us/step - loss: 0.5055
Epoch 136/150
152/152 [==============================] - 0s 912us/step - loss: 0.5043
Epoch 137/150
152/152 [==============================] - 0s 925us/step - loss: 0.5035
Epoch 138/150
152/152 [==============================] - 0s 920us/step - loss: 0.5043
Epoch 139/150
152/152 [==============================] - 0s 984us/step - loss: 0.5027
Epoch 140/150
152/152 [==============================] - 0s 965us/step - loss: 0.5052
Epoch 141/150
152/152 [==============================] - 0s 938us/step - loss: 0.5037
Epoch 142/150
152/152 [==============================] - 0s 899us/step - loss: 0.5000
Epoch 143/150
152/152 [==============================] - 0s 853us/step - loss: 0.5044
Epoch 144/150
152/152 [==============================] - 0s 846us/step - loss: 0.5040
Epoch 145/150
152/152 [==============================] - 0s 873us/step - loss: 0.5022
Epoch 146/150
152/152 [==============================] - 0s 860us/step - loss: 0.4991
Epoch 147/150
152/152 [==============================] - 0s 912us/step - loss: 0.5004
Epoch 148/150
152/152 [==============================] - 0s 905us/step - loss: 0.4999
Epoch 149/150
152/152 [==============================] - 0s 919us/step - loss: 0.4998
Epoch 150/150
152/152 [==============================] - 0s 951us/step - loss: 0.4974
###################################################################### Accuracy: 71.11455151761103
Epoch 1/150
153/153 [==============================] - 0s 916us/step - loss: 0.9524
Epoch 2/150
153/153 [==============================] - 0s 926us/step - loss: 0.7550
Epoch 3/150
153/153 [==============================] - 0s 984us/step - loss: 0.6545
Epoch 4/150
153/153 [==============================] - 0s 978us/step - loss: 0.6421
Epoch 5/150
153/153 [==============================] - 0s 893us/step - loss: 0.6295
Epoch 6/150
153/153 [==============================] - 0s 971us/step - loss: 0.6233
Epoch 7/150
153/153 [==============================] - 0s 867us/step - loss: 0.6199
Epoch 8/150
153/153 [==============================] - 0s 965us/step - loss: 0.6110
Epoch 9/150
153/153 [==============================] - 0s 913us/step - loss: 0.6082
Epoch 10/150
153/153 [==============================] - 0s 952us/step - loss: 0.6039
Epoch 11/150
153/153 [==============================] - 0s 932us/step - loss: 0.6011
Epoch 12/150
153/153 [==============================] - 0s 958us/step - loss: 0.6002
Epoch 13/150
153/153 [==============================] - 0s 873us/step - loss: 0.5922
Epoch 14/150
153/153 [==============================] - 0s 945us/step - loss: 0.5904
Epoch 15/150
153/153 [==============================] - 0s 906us/step - loss: 0.5878
Epoch 16/150
153/153 [==============================] - 0s 958us/step - loss: 0.5843
Epoch 17/150
153/153 [==============================] - 0s 854us/step - loss: 0.5847
Epoch 18/150
153/153 [==============================] - 0s 913us/step - loss: 0.5804
Epoch 19/150
153/153 [==============================] - 0s 887us/step - loss: 0.5796
Epoch 20/150
153/153 [==============================] - 0s 932us/step - loss: 0.5788
Epoch 21/150
153/153 [==============================] - 0s 880us/step - loss: 0.5777
Epoch 22/150
153/153 [==============================] - 0s 913us/step - loss: 0.5768
Epoch 23/150
153/153 [==============================] - 0s 971us/step - loss: 0.5751
Epoch 24/150
153/153 [==============================] - 0s 900us/step - loss: 0.5758
Epoch 25/150
153/153 [==============================] - 0s 958us/step - loss: 0.5741
Epoch 26/150
153/153 [==============================] - 0s 978us/step - loss: 0.5750
Epoch 27/150
153/153 [==============================] - 0s 939us/step - loss: 0.5711
Epoch 28/150
153/153 [==============================] - 0s 952us/step - loss: 0.5699
Epoch 29/150
153/153 [==============================] - 0s 958us/step - loss: 0.5698
Epoch 30/150
153/153 [==============================] - 0s 913us/step - loss: 0.5687
Epoch 31/150
153/153 [==============================] - 0s 919us/step - loss: 0.5696
Epoch 32/150
153/153 [==============================] - 0s 939us/step - loss: 0.5687
Epoch 33/150
153/153 [==============================] - 0s 926us/step - loss: 0.5665
Epoch 34/150
153/153 [==============================] - 0s 926us/step - loss: 0.5650
Epoch 35/150
153/153 [==============================] - 0s 991us/step - loss: 0.5678
Epoch 36/150
153/153 [==============================] - 0s 926us/step - loss: 0.5645
Epoch 37/150
153/153 [==============================] - 0s 932us/step - loss: 0.5655
Epoch 38/150
153/153 [==============================] - 0s 900us/step - loss: 0.5650
Epoch 39/150
153/153 [==============================] - 0s 958us/step - loss: 0.5624
Epoch 40/150
153/153 [==============================] - 0s 984us/step - loss: 0.5638
Epoch 41/150
153/153 [==============================] - 0s 919us/step - loss: 0.5617
Epoch 42/150
153/153 [==============================] - 0s 919us/step - loss: 0.5657
Epoch 43/150
153/153 [==============================] - 0s 939us/step - loss: 0.5630
Epoch 44/150
153/153 [==============================] - 0s 971us/step - loss: 0.5616
Epoch 45/150
153/153 [==============================] - 0s 880us/step - loss: 0.5610
Epoch 46/150
153/153 [==============================] - 0s 945us/step - loss: 0.5592
Epoch 47/150
153/153 [==============================] - 0s 984us/step - loss: 0.5601
Epoch 48/150
153/153 [==============================] - 0s 926us/step - loss: 0.5587
Epoch 49/150
153/153 [==============================] - 0s 932us/step - loss: 0.5573
Epoch 50/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5592
Epoch 51/150
153/153 [==============================] - 0s 958us/step - loss: 0.5584
Epoch 52/150
153/153 [==============================] - 0s 971us/step - loss: 0.5587
Epoch 53/150
153/153 [==============================] - 0s 971us/step - loss: 0.5572
Epoch 54/150
153/153 [==============================] - 0s 945us/step - loss: 0.5559
Epoch 55/150
153/153 [==============================] - 0s 926us/step - loss: 0.5574
Epoch 56/150
153/153 [==============================] - 0s 978us/step - loss: 0.5588
Epoch 57/150
153/153 [==============================] - 0s 906us/step - loss: 0.5565
Epoch 58/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5553
Epoch 59/150
153/153 [==============================] - 0s 913us/step - loss: 0.5541
Epoch 60/150
153/153 [==============================] - 0s 900us/step - loss: 0.5545
Epoch 61/150
153/153 [==============================] - 0s 880us/step - loss: 0.5523
Epoch 62/150
153/153 [==============================] - 0s 913us/step - loss: 0.5541
Epoch 63/150
153/153 [==============================] - 0s 887us/step - loss: 0.5546
Epoch 64/150
153/153 [==============================] - 0s 860us/step - loss: 0.5511
Epoch 65/150
153/153 [==============================] - 0s 887us/step - loss: 0.5519
Epoch 66/150
153/153 [==============================] - 0s 854us/step - loss: 0.5546
Epoch 67/150
153/153 [==============================] - 0s 906us/step - loss: 0.5540
Epoch 68/150
153/153 [==============================] - 0s 873us/step - loss: 0.5534
Epoch 69/150
153/153 [==============================] - 0s 854us/step - loss: 0.5517
Epoch 70/150
153/153 [==============================] - 0s 893us/step - loss: 0.5485
Epoch 71/150
153/153 [==============================] - 0s 867us/step - loss: 0.5511
Epoch 72/150
153/153 [==============================] - 0s 939us/step - loss: 0.5509
Epoch 73/150
153/153 [==============================] - 0s 939us/step - loss: 0.5474
Epoch 74/150
153/153 [==============================] - 0s 984us/step - loss: 0.5479
Epoch 75/150
153/153 [==============================] - 0s 952us/step - loss: 0.5475
Epoch 76/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5477
Epoch 77/150
153/153 [==============================] - 0s 991us/step - loss: 0.5468
Epoch 78/150
153/153 [==============================] - 0s 906us/step - loss: 0.5478
Epoch 79/150
153/153 [==============================] - 0s 945us/step - loss: 0.5479
Epoch 80/150
153/153 [==============================] - 0s 945us/step - loss: 0.5455
Epoch 81/150
153/153 [==============================] - 0s 906us/step - loss: 0.5469
Epoch 82/150
153/153 [==============================] - 0s 919us/step - loss: 0.5455
Epoch 83/150
153/153 [==============================] - 0s 958us/step - loss: 0.5478
Epoch 84/150
153/153 [==============================] - 0s 900us/step - loss: 0.5463
Epoch 85/150
153/153 [==============================] - 0s 939us/step - loss: 0.5438
Epoch 86/150
153/153 [==============================] - 0s 939us/step - loss: 0.5432
Epoch 87/150
153/153 [==============================] - 0s 880us/step - loss: 0.5453
Epoch 88/150
153/153 [==============================] - 0s 900us/step - loss: 0.5415
Epoch 89/150
153/153 [==============================] - 0s 893us/step - loss: 0.5438
Epoch 90/150
153/153 [==============================] - 0s 912us/step - loss: 0.5414
Epoch 91/150
153/153 [==============================] - 0s 958us/step - loss: 0.5418
Epoch 92/150
153/153 [==============================] - 0s 913us/step - loss: 0.5420
Epoch 93/150
153/153 [==============================] - 0s 887us/step - loss: 0.5414
Epoch 94/150
153/153 [==============================] - 0s 958us/step - loss: 0.5423
Epoch 95/150
153/153 [==============================] - 0s 893us/step - loss: 0.5400
Epoch 96/150
153/153 [==============================] - 0s 984us/step - loss: 0.5408
Epoch 97/150
153/153 [==============================] - 0s 965us/step - loss: 0.5404
Epoch 98/150
153/153 [==============================] - 0s 945us/step - loss: 0.5424
Epoch 99/150
153/153 [==============================] - 0s 926us/step - loss: 0.5383
Epoch 100/150
153/153 [==============================] - 0s 971us/step - loss: 0.5405
Epoch 101/150
153/153 [==============================] - 0s 952us/step - loss: 0.5380
Epoch 102/150
153/153 [==============================] - 0s 893us/step - loss: 0.5361
Epoch 103/150
153/153 [==============================] - 0s 952us/step - loss: 0.5398
Epoch 104/150
153/153 [==============================] - 0s 952us/step - loss: 0.5361
Epoch 105/150
153/153 [==============================] - 0s 952us/step - loss: 0.5391
Epoch 106/150
153/153 [==============================] - 0s 984us/step - loss: 0.5354
Epoch 107/150
153/153 [==============================] - 0s 939us/step - loss: 0.5357
Epoch 108/150
153/153 [==============================] - 0s 919us/step - loss: 0.5345
Epoch 109/150
153/153 [==============================] - 0s 932us/step - loss: 0.5326
Epoch 110/150
153/153 [==============================] - 0s 854us/step - loss: 0.5316
Epoch 111/150
153/153 [==============================] - 0s 860us/step - loss: 0.5338
Epoch 112/150
153/153 [==============================] - 0s 958us/step - loss: 0.5318
Epoch 113/150
153/153 [==============================] - 0s 945us/step - loss: 0.5294
Epoch 114/150
153/153 [==============================] - 0s 978us/step - loss: 0.5304
Epoch 115/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5301
Epoch 116/150
153/153 [==============================] - 0s 978us/step - loss: 0.5279
Epoch 117/150
153/153 [==============================] - 0s 965us/step - loss: 0.5302
Epoch 118/150
153/153 [==============================] - 0s 958us/step - loss: 0.5271
Epoch 119/150
153/153 [==============================] - 0s 958us/step - loss: 0.5263
Epoch 120/150
153/153 [==============================] - 0s 945us/step - loss: 0.5277
Epoch 121/150
153/153 [==============================] - 0s 939us/step - loss: 0.5286
Epoch 122/150
153/153 [==============================] - 0s 965us/step - loss: 0.5256
Epoch 123/150
153/153 [==============================] - 0s 945us/step - loss: 0.5252
Epoch 124/150
153/153 [==============================] - 0s 965us/step - loss: 0.5244
Epoch 125/150
153/153 [==============================] - 0s 932us/step - loss: 0.5238
Epoch 126/150
153/153 [==============================] - 0s 978us/step - loss: 0.5242
Epoch 127/150
153/153 [==============================] - 0s 958us/step - loss: 0.5233
Epoch 128/150
153/153 [==============================] - 0s 952us/step - loss: 0.5244
Epoch 129/150
153/153 [==============================] - 0s 952us/step - loss: 0.5223
Epoch 130/150
153/153 [==============================] - 0s 900us/step - loss: 0.5235
Epoch 131/150
153/153 [==============================] - 0s 841us/step - loss: 0.5231
Epoch 132/150
153/153 [==============================] - 0s 867us/step - loss: 0.5237
Epoch 133/150
153/153 [==============================] - 0s 932us/step - loss: 0.5209
Epoch 134/150
153/153 [==============================] - 0s 958us/step - loss: 0.5230
Epoch 135/150
153/153 [==============================] - 0s 965us/step - loss: 0.5202
Epoch 136/150
153/153 [==============================] - 0s 926us/step - loss: 0.5210
Epoch 137/150
153/153 [==============================] - 0s 978us/step - loss: 0.5179
Epoch 138/150
153/153 [==============================] - 0s 919us/step - loss: 0.5192
Epoch 139/150
153/153 [==============================] - 0s 887us/step - loss: 0.5202
Epoch 140/150
153/153 [==============================] - 0s 932us/step - loss: 0.5192
Epoch 141/150
153/153 [==============================] - 0s 913us/step - loss: 0.5190
Epoch 142/150
153/153 [==============================] - 0s 913us/step - loss: 0.5177
Epoch 143/150
153/153 [==============================] - 0s 958us/step - loss: 0.5159
Epoch 144/150
153/153 [==============================] - 0s 939us/step - loss: 0.5190
Epoch 145/150
153/153 [==============================] - 0s 958us/step - loss: 0.5148
Epoch 146/150
153/153 [==============================] - 0s 919us/step - loss: 0.5167
Epoch 147/150
153/153 [==============================] - 0s 919us/step - loss: 0.5190
Epoch 148/150
153/153 [==============================] - 0s 873us/step - loss: 0.5169
Epoch 149/150
153/153 [==============================] - 0s 860us/step - loss: 0.5152
Epoch 150/150
153/153 [==============================] - 0s 899us/step - loss: 0.5150
###################################################################### Accuracy: 72.63878142619193
Epoch 1/150
153/153 [==============================] - 0s 978us/step - loss: 0.9604
Epoch 2/150
153/153 [==============================] - 0s 932us/step - loss: 0.7800
Epoch 3/150
153/153 [==============================] - 0s 939us/step - loss: 0.6484
Epoch 4/150
153/153 [==============================] - 0s 958us/step - loss: 0.6251
Epoch 5/150
153/153 [==============================] - 0s 932us/step - loss: 0.6188
Epoch 6/150
153/153 [==============================] - 0s 926us/step - loss: 0.6113
Epoch 7/150
153/153 [==============================] - 0s 939us/step - loss: 0.6051
Epoch 8/150
153/153 [==============================] - 0s 926us/step - loss: 0.6029
Epoch 9/150
153/153 [==============================] - 0s 919us/step - loss: 0.5969
Epoch 10/150
153/153 [==============================] - 0s 893us/step - loss: 0.5930
Epoch 11/150
153/153 [==============================] - 0s 913us/step - loss: 0.5874
Epoch 12/150
153/153 [==============================] - 0s 945us/step - loss: 0.5846
Epoch 13/150
153/153 [==============================] - 0s 978us/step - loss: 0.5815
Epoch 14/150
153/153 [==============================] - 0s 971us/step - loss: 0.5778
Epoch 15/150
153/153 [==============================] - 0s 926us/step - loss: 0.5755
Epoch 16/150
153/153 [==============================] - 0s 939us/step - loss: 0.5730
Epoch 17/150
153/153 [==============================] - 0s 893us/step - loss: 0.5707
Epoch 18/150
153/153 [==============================] - 0s 932us/step - loss: 0.5697
Epoch 19/150
153/153 [==============================] - 0s 971us/step - loss: 0.5684
Epoch 20/150
153/153 [==============================] - 0s 945us/step - loss: 0.5648
Epoch 21/150
153/153 [==============================] - 0s 926us/step - loss: 0.5651
Epoch 22/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5613A: 0s - loss: 0.53
Epoch 23/150
153/153 [==============================] - 0s 932us/step - loss: 0.5640
Epoch 24/150
153/153 [==============================] - 0s 860us/step - loss: 0.5644
Epoch 25/150
153/153 [==============================] - 0s 860us/step - loss: 0.5592
Epoch 26/150
153/153 [==============================] - 0s 867us/step - loss: 0.5563
Epoch 27/150
153/153 [==============================] - 0s 887us/step - loss: 0.5576
Epoch 28/150
153/153 [==============================] - 0s 867us/step - loss: 0.5554
Epoch 29/150
153/153 [==============================] - 0s 867us/step - loss: 0.5559
Epoch 30/150
153/153 [==============================] - 0s 841us/step - loss: 0.5552
Epoch 31/150
153/153 [==============================] - 0s 841us/step - loss: 0.5537
Epoch 32/150
153/153 [==============================] - 0s 854us/step - loss: 0.5529
Epoch 33/150
153/153 [==============================] - 0s 867us/step - loss: 0.5515
Epoch 34/150
153/153 [==============================] - 0s 887us/step - loss: 0.5517 0s - loss: 0.532
Epoch 35/150
153/153 [==============================] - 0s 997us/step - loss: 0.5502
Epoch 36/150
153/153 [==============================] - 0s 873us/step - loss: 0.5497
Epoch 37/150
153/153 [==============================] - 0s 873us/step - loss: 0.5506
Epoch 38/150
153/153 [==============================] - 0s 932us/step - loss: 0.5484
Epoch 39/150
153/153 [==============================] - 0s 847us/step - loss: 0.5479
Epoch 40/150
153/153 [==============================] - 0s 828us/step - loss: 0.5502
Epoch 41/150
153/153 [==============================] - 0s 847us/step - loss: 0.5463
Epoch 42/150
153/153 [==============================] - 0s 887us/step - loss: 0.5470
Epoch 43/150
153/153 [==============================] - 0s 893us/step - loss: 0.5455
Epoch 44/150
153/153 [==============================] - 0s 860us/step - loss: 0.5440
Epoch 45/150
153/153 [==============================] - 0s 867us/step - loss: 0.5457
Epoch 46/150
153/153 [==============================] - 0s 880us/step - loss: 0.5455
Epoch 47/150
153/153 [==============================] - 0s 919us/step - loss: 0.5428
Epoch 48/150
153/153 [==============================] - 0s 821us/step - loss: 0.5437
Epoch 49/150
153/153 [==============================] - 0s 880us/step - loss: 0.5417
Epoch 50/150
153/153 [==============================] - 0s 880us/step - loss: 0.5421
Epoch 51/150
153/153 [==============================] - 0s 893us/step - loss: 0.5432
Epoch 52/150
153/153 [==============================] - 0s 828us/step - loss: 0.5427
Epoch 53/150
153/153 [==============================] - 0s 880us/step - loss: 0.5390
Epoch 54/150
153/153 [==============================] - 0s 965us/step - loss: 0.5397
Epoch 55/150
153/153 [==============================] - 0s 978us/step - loss: 0.5404
Epoch 56/150
153/153 [==============================] - 0s 971us/step - loss: 0.5417
Epoch 57/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5382
Epoch 58/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5381
Epoch 59/150
153/153 [==============================] - 0s 958us/step - loss: 0.5413
Epoch 60/150
153/153 [==============================] - 0s 945us/step - loss: 0.5370
Epoch 61/150
153/153 [==============================] - 0s 906us/step - loss: 0.5351
Epoch 62/150
153/153 [==============================] - 0s 952us/step - loss: 0.5356
Epoch 63/150
153/153 [==============================] - 0s 939us/step - loss: 0.5354
Epoch 64/150
153/153 [==============================] - 0s 971us/step - loss: 0.5352
Epoch 65/150
153/153 [==============================] - 0s 978us/step - loss: 0.5361
Epoch 66/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5340
Epoch 67/150
153/153 [==============================] - 0s 997us/step - loss: 0.5330
Epoch 68/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5324
Epoch 69/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5308
Epoch 70/150
153/153 [==============================] - 0s 952us/step - loss: 0.5360
Epoch 71/150
153/153 [==============================] - 0s 913us/step - loss: 0.5295
Epoch 72/150
153/153 [==============================] - 0s 887us/step - loss: 0.5317
Epoch 73/150
153/153 [==============================] - 0s 893us/step - loss: 0.5292
Epoch 74/150
153/153 [==============================] - 0s 926us/step - loss: 0.5304
Epoch 75/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5282
Epoch 76/150
153/153 [==============================] - 0s 932us/step - loss: 0.5274
Epoch 77/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5282
Epoch 78/150
153/153 [==============================] - 0s 945us/step - loss: 0.5303
Epoch 79/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5283
Epoch 80/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5268
Epoch 81/150
153/153 [==============================] - 0s 958us/step - loss: 0.5256
Epoch 82/150
153/153 [==============================] - 0s 900us/step - loss: 0.5288
Epoch 83/150
153/153 [==============================] - 0s 958us/step - loss: 0.5245
Epoch 84/150
153/153 [==============================] - 0s 919us/step - loss: 0.5239
Epoch 85/150
153/153 [==============================] - 0s 958us/step - loss: 0.5254
Epoch 86/150
153/153 [==============================] - 0s 932us/step - loss: 0.5229
Epoch 87/150
153/153 [==============================] - 0s 939us/step - loss: 0.5220
Epoch 88/150
153/153 [==============================] - 0s 965us/step - loss: 0.5229
Epoch 89/150
153/153 [==============================] - 0s 860us/step - loss: 0.5225
Epoch 90/150
153/153 [==============================] - 0s 900us/step - loss: 0.5225
Epoch 91/150
153/153 [==============================] - 0s 952us/step - loss: 0.5189
Epoch 92/150
153/153 [==============================] - 0s 926us/step - loss: 0.5207
Epoch 93/150
153/153 [==============================] - 0s 893us/step - loss: 0.5218
Epoch 94/150
153/153 [==============================] - 0s 906us/step - loss: 0.5204
Epoch 95/150
153/153 [==============================] - 0s 919us/step - loss: 0.5190
Epoch 96/150
153/153 [==============================] - 0s 939us/step - loss: 0.5195
Epoch 97/150
153/153 [==============================] - 0s 965us/step - loss: 0.5215
Epoch 98/150
153/153 [==============================] - 0s 913us/step - loss: 0.5180
Epoch 99/150
153/153 [==============================] - 0s 939us/step - loss: 0.5166
Epoch 100/150
153/153 [==============================] - 0s 984us/step - loss: 0.5184
Epoch 101/150
153/153 [==============================] - 0s 965us/step - loss: 0.5152
Epoch 102/150
153/153 [==============================] - 0s 932us/step - loss: 0.5156
Epoch 103/150
153/153 [==============================] - 0s 952us/step - loss: 0.5176
Epoch 104/150
153/153 [==============================] - 0s 939us/step - loss: 0.5149
Epoch 105/150
153/153 [==============================] - 0s 906us/step - loss: 0.5140
Epoch 106/150
153/153 [==============================] - 0s 926us/step - loss: 0.5156
Epoch 107/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5162
Epoch 108/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5146
Epoch 109/150
153/153 [==============================] - 0s 965us/step - loss: 0.5117
Epoch 110/150
153/153 [==============================] - 0s 958us/step - loss: 0.5144
Epoch 111/150
153/153 [==============================] - 0s 991us/step - loss: 0.5131
Epoch 112/150
153/153 [==============================] - 0s 971us/step - loss: 0.5124
Epoch 113/150
153/153 [==============================] - 0s 984us/step - loss: 0.5106
Epoch 114/150
153/153 [==============================] - 0s 991us/step - loss: 0.5118
Epoch 115/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5119
Epoch 116/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5117
Epoch 117/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5101
Epoch 118/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5117
Epoch 119/150
153/153 [==============================] - 0s 965us/step - loss: 0.5086
Epoch 120/150
153/153 [==============================] - 0s 991us/step - loss: 0.5110
Epoch 121/150
153/153 [==============================] - 0s 984us/step - loss: 0.5082
Epoch 122/150
153/153 [==============================] - 0s 978us/step - loss: 0.5055
Epoch 123/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5091
Epoch 124/150
153/153 [==============================] - 0s 958us/step - loss: 0.5052
Epoch 125/150
153/153 [==============================] - 0s 919us/step - loss: 0.5071
Epoch 126/150
153/153 [==============================] - 0s 939us/step - loss: 0.5036
Epoch 127/150
153/153 [==============================] - 0s 991us/step - loss: 0.5054
Epoch 128/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5057
Epoch 129/150
153/153 [==============================] - 0s 997us/step - loss: 0.5023
Epoch 130/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5051
Epoch 131/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5019
Epoch 132/150
153/153 [==============================] - 0s 945us/step - loss: 0.5029
Epoch 133/150
153/153 [==============================] - 0s 1ms/step - loss: 0.4989
Epoch 134/150
153/153 [==============================] - 0s 958us/step - loss: 0.4971
Epoch 135/150
153/153 [==============================] - 0s 984us/step - loss: 0.4974
Epoch 136/150
153/153 [==============================] - 0s 932us/step - loss: 0.4963
Epoch 137/150
153/153 [==============================] - 0s 971us/step - loss: 0.4943
Epoch 138/150
153/153 [==============================] - 0s 1ms/step - loss: 0.4966
Epoch 139/150
153/153 [==============================] - 0s 991us/step - loss: 0.4949
Epoch 140/150
153/153 [==============================] - 0s 991us/step - loss: 0.4925
Epoch 141/150
153/153 [==============================] - 0s 1ms/step - loss: 0.4918
Epoch 142/150
153/153 [==============================] - 0s 965us/step - loss: 0.4923
Epoch 143/150
153/153 [==============================] - 0s 926us/step - loss: 0.4936
Epoch 144/150
153/153 [==============================] - 0s 1ms/step - loss: 0.4935
Epoch 145/150
153/153 [==============================] - 0s 952us/step - loss: 0.4914
Epoch 146/150
153/153 [==============================] - 0s 958us/step - loss: 0.4901
Epoch 147/150
153/153 [==============================] - 0s 965us/step - loss: 0.4892
Epoch 148/150
153/153 [==============================] - 0s 1ms/step - loss: 0.4894
Epoch 149/150
153/153 [==============================] - 0s 926us/step - loss: 0.4860
Epoch 150/150
153/153 [==============================] - 0s 880us/step - loss: 0.4909
###################################################################### Accuracy: 87.97126219728052
Epoch 1/150
153/153 [==============================] - 0s 908us/step - loss: 0.9884
Epoch 2/150
153/153 [==============================] - 0s 893us/step - loss: 0.7432
Epoch 3/150
153/153 [==============================] - 0s 841us/step - loss: 0.6572
Epoch 4/150
153/153 [==============================] - 0s 887us/step - loss: 0.6491
Epoch 5/150
153/153 [==============================] - 0s 906us/step - loss: 0.6451
Epoch 6/150
153/153 [==============================] - 0s 893us/step - loss: 0.6380
Epoch 7/150
153/153 [==============================] - 0s 952us/step - loss: 0.6354
Epoch 8/150
153/153 [==============================] - 0s 978us/step - loss: 0.6319
Epoch 9/150
153/153 [==============================] - 0s 945us/step - loss: 0.6276
Epoch 10/150
153/153 [==============================] - 0s 932us/step - loss: 0.6254
Epoch 11/150
153/153 [==============================] - 0s 932us/step - loss: 0.6196
Epoch 12/150
153/153 [==============================] - 0s 939us/step - loss: 0.6202
Epoch 13/150
153/153 [==============================] - 0s 926us/step - loss: 0.6141
Epoch 14/150
153/153 [==============================] - 0s 945us/step - loss: 0.6122
Epoch 15/150
153/153 [==============================] - 0s 978us/step - loss: 0.6080
Epoch 16/150
153/153 [==============================] - 0s 958us/step - loss: 0.6037
Epoch 17/150
153/153 [==============================] - 0s 945us/step - loss: 0.6052
Epoch 18/150
153/153 [==============================] - 0s 919us/step - loss: 0.6051
Epoch 19/150
153/153 [==============================] - 0s 919us/step - loss: 0.5995
Epoch 20/150
153/153 [==============================] - 0s 958us/step - loss: 0.5981
Epoch 21/150
153/153 [==============================] - 0s 945us/step - loss: 0.5956
Epoch 22/150
153/153 [==============================] - 0s 965us/step - loss: 0.5935
Epoch 23/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5924
Epoch 24/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5881
Epoch 25/150
153/153 [==============================] - 0s 952us/step - loss: 0.5878
Epoch 26/150
153/153 [==============================] - 0s 932us/step - loss: 0.5844
Epoch 27/150
153/153 [==============================] - 0s 900us/step - loss: 0.5864
Epoch 28/150
153/153 [==============================] - 0s 939us/step - loss: 0.5876
Epoch 29/150
153/153 [==============================] - 0s 926us/step - loss: 0.5814
Epoch 30/150
153/153 [==============================] - 0s 815us/step - loss: 0.5829
Epoch 31/150
153/153 [==============================] - 0s 913us/step - loss: 0.5804
Epoch 32/150
153/153 [==============================] - 0s 945us/step - loss: 0.5834
Epoch 33/150
153/153 [==============================] - 0s 847us/step - loss: 0.5787
Epoch 34/150
153/153 [==============================] - 0s 867us/step - loss: 0.5769
Epoch 35/150
153/153 [==============================] - 0s 913us/step - loss: 0.5756
Epoch 36/150
153/153 [==============================] - 0s 887us/step - loss: 0.5758
Epoch 37/150
153/153 [==============================] - 0s 971us/step - loss: 0.5724
Epoch 38/150
153/153 [==============================] - 0s 867us/step - loss: 0.5750
Epoch 39/150
153/153 [==============================] - 0s 867us/step - loss: 0.5718
Epoch 40/150
153/153 [==============================] - 0s 978us/step - loss: 0.5718
Epoch 41/150
153/153 [==============================] - 0s 971us/step - loss: 0.5689
Epoch 42/150
153/153 [==============================] - 0s 900us/step - loss: 0.5717
Epoch 43/150
153/153 [==============================] - 0s 919us/step - loss: 0.5688
Epoch 44/150
153/153 [==============================] - 0s 854us/step - loss: 0.5672
Epoch 45/150
153/153 [==============================] - 0s 847us/step - loss: 0.5661
Epoch 46/150
153/153 [==============================] - 0s 919us/step - loss: 0.5679
Epoch 47/150
153/153 [==============================] - 0s 952us/step - loss: 0.5669
Epoch 48/150
153/153 [==============================] - 0s 932us/step - loss: 0.5657
Epoch 49/150
153/153 [==============================] - 0s 945us/step - loss: 0.5637
Epoch 50/150
153/153 [==============================] - 0s 939us/step - loss: 0.5632
Epoch 51/150
153/153 [==============================] - 0s 932us/step - loss: 0.5607
Epoch 52/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5651
Epoch 53/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5608
Epoch 54/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5612
Epoch 55/150
153/153 [==============================] - 0s 932us/step - loss: 0.5610
Epoch 56/150
153/153 [==============================] - 0s 945us/step - loss: 0.5597
Epoch 57/150
153/153 [==============================] - 0s 873us/step - loss: 0.5584
Epoch 58/150
153/153 [==============================] - 0s 900us/step - loss: 0.5592
Epoch 59/150
153/153 [==============================] - 0s 873us/step - loss: 0.5564
Epoch 60/150
153/153 [==============================] - 0s 873us/step - loss: 0.5557
Epoch 61/150
153/153 [==============================] - 0s 808us/step - loss: 0.5569
Epoch 62/150
153/153 [==============================] - 0s 893us/step - loss: 0.5588
Epoch 63/150
153/153 [==============================] - 0s 906us/step - loss: 0.5579
Epoch 64/150
153/153 [==============================] - 0s 893us/step - loss: 0.5591
Epoch 65/150
153/153 [==============================] - 0s 860us/step - loss: 0.5552
Epoch 66/150
153/153 [==============================] - 0s 893us/step - loss: 0.5553
Epoch 67/150
153/153 [==============================] - 0s 900us/step - loss: 0.5558
Epoch 68/150
153/153 [==============================] - 0s 887us/step - loss: 0.5592
Epoch 69/150
153/153 [==============================] - 0s 919us/step - loss: 0.5543
Epoch 70/150
153/153 [==============================] - 0s 900us/step - loss: 0.5515
Epoch 71/150
153/153 [==============================] - 0s 932us/step - loss: 0.5543
Epoch 72/150
153/153 [==============================] - 0s 887us/step - loss: 0.5498
Epoch 73/150
153/153 [==============================] - 0s 958us/step - loss: 0.5536
Epoch 74/150
153/153 [==============================] - 0s 952us/step - loss: 0.5564
Epoch 75/150
153/153 [==============================] - 0s 991us/step - loss: 0.5512
Epoch 76/150
153/153 [==============================] - 0s 965us/step - loss: 0.5493
Epoch 77/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5512
Epoch 78/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5537
Epoch 79/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5500
Epoch 80/150
153/153 [==============================] - 0s 958us/step - loss: 0.5485
Epoch 81/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5499
Epoch 82/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5460
Epoch 83/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5459
Epoch 84/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5466
Epoch 85/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5459
Epoch 86/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5455
Epoch 87/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5438
Epoch 88/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5454
Epoch 89/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5408
Epoch 90/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5437
Epoch 91/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5397
Epoch 92/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5413
Epoch 93/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5387
Epoch 94/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5435
Epoch 95/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5397
Epoch 96/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5398
Epoch 97/150
153/153 [==============================] - 0s 992us/step - loss: 0.5337
Epoch 98/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5378
Epoch 99/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5333
Epoch 100/150
153/153 [==============================] - 0s 932us/step - loss: 0.5386
Epoch 101/150
153/153 [==============================] - 0s 893us/step - loss: 0.5335
Epoch 102/150
153/153 [==============================] - 0s 906us/step - loss: 0.5371
Epoch 103/150
153/153 [==============================] - 0s 952us/step - loss: 0.5338
Epoch 104/150
153/153 [==============================] - 0s 880us/step - loss: 0.5340
Epoch 105/150
153/153 [==============================] - 0s 860us/step - loss: 0.5304
Epoch 106/150
153/153 [==============================] - 0s 900us/step - loss: 0.5337
Epoch 107/150
153/153 [==============================] - 0s 906us/step - loss: 0.5343
Epoch 108/150
153/153 [==============================] - 0s 932us/step - loss: 0.5341
Epoch 109/150
153/153 [==============================] - 0s 984us/step - loss: 0.5313
Epoch 110/150
153/153 [==============================] - 0s 880us/step - loss: 0.5355
Epoch 111/150
153/153 [==============================] - 0s 913us/step - loss: 0.5307
Epoch 112/150
153/153 [==============================] - 0s 828us/step - loss: 0.5309
Epoch 113/150
153/153 [==============================] - 0s 932us/step - loss: 0.5295
Epoch 114/150
153/153 [==============================] - 0s 887us/step - loss: 0.5265
Epoch 115/150
153/153 [==============================] - 0s 893us/step - loss: 0.5330
Epoch 116/150
153/153 [==============================] - 0s 913us/step - loss: 0.5299
Epoch 117/150
153/153 [==============================] - 0s 874us/step - loss: 0.5292
Epoch 118/150
153/153 [==============================] - 0s 906us/step - loss: 0.5297
Epoch 119/150
153/153 [==============================] - 0s 808us/step - loss: 0.5289
Epoch 120/150
153/153 [==============================] - 0s 952us/step - loss: 0.5258
Epoch 121/150
153/153 [==============================] - ETA: 0s - loss: 0.547 - 0s 913us/step - loss: 0.5306
Epoch 122/150
153/153 [==============================] - 0s 965us/step - loss: 0.5301
Epoch 123/150
153/153 [==============================] - 0s 984us/step - loss: 0.5248
Epoch 124/150
153/153 [==============================] - 0s 913us/step - loss: 0.5221
Epoch 125/150
153/153 [==============================] - 0s 932us/step - loss: 0.5235
Epoch 126/150
153/153 [==============================] - 0s 913us/step - loss: 0.5233
Epoch 127/150
153/153 [==============================] - 0s 841us/step - loss: 0.5226
Epoch 128/150
153/153 [==============================] - 0s 834us/step - loss: 0.5240
Epoch 129/150
153/153 [==============================] - 0s 834us/step - loss: 0.5263
Epoch 130/150
153/153 [==============================] - 0s 834us/step - loss: 0.5228
Epoch 131/150
153/153 [==============================] - 0s 913us/step - loss: 0.5241
Epoch 132/150
153/153 [==============================] - 0s 971us/step - loss: 0.5226
Epoch 133/150
153/153 [==============================] - 0s 926us/step - loss: 0.5206
Epoch 134/150
153/153 [==============================] - 0s 913us/step - loss: 0.5195
Epoch 135/150
153/153 [==============================] - 0s 945us/step - loss: 0.5242
Epoch 136/150
153/153 [==============================] - 0s 958us/step - loss: 0.5218
Epoch 137/150
153/153 [==============================] - 0s 958us/step - loss: 0.5214
Epoch 138/150
153/153 [==============================] - 0s 978us/step - loss: 0.5190
Epoch 139/150
153/153 [==============================] - 0s 919us/step - loss: 0.5197
Epoch 140/150
153/153 [==============================] - 0s 906us/step - loss: 0.5209
Epoch 141/150
153/153 [==============================] - 0s 913us/step - loss: 0.5174
Epoch 142/150
153/153 [==============================] - 0s 932us/step - loss: 0.5193
Epoch 143/150
153/153 [==============================] - 0s 939us/step - loss: 0.5185
Epoch 144/150
153/153 [==============================] - 0s 926us/step - loss: 0.5172
Epoch 145/150
153/153 [==============================] - 0s 971us/step - loss: 0.5188
Epoch 146/150
153/153 [==============================] - 0s 873us/step - loss: 0.5181
Epoch 147/150
153/153 [==============================] - 0s 860us/step - loss: 0.5165
Epoch 148/150
153/153 [==============================] - 0s 828us/step - loss: 0.5230
Epoch 149/150
153/153 [==============================] - 0s 887us/step - loss: 0.5200
Epoch 150/150
153/153 [==============================] - 0s 919us/step - loss: 0.5163
###################################################################### Accuracy: 71.80601894847479
Epoch 1/150
153/153 [==============================] - 0s 919us/step - loss: 0.9759
Epoch 2/150
153/153 [==============================] - 0s 828us/step - loss: 0.8221
Epoch 3/150
153/153 [==============================] - 0s 867us/step - loss: 0.7184
Epoch 4/150
153/153 [==============================] - 0s 919us/step - loss: 0.6565
Epoch 5/150
153/153 [==============================] - 0s 926us/step - loss: 0.6322
Epoch 6/150
153/153 [==============================] - 0s 926us/step - loss: 0.6164
Epoch 7/150
153/153 [==============================] - 0s 887us/step - loss: 0.6070
Epoch 8/150
153/153 [==============================] - 0s 906us/step - loss: 0.5992
Epoch 9/150
153/153 [==============================] - 0s 860us/step - loss: 0.5933
Epoch 10/150
153/153 [==============================] - 0s 919us/step - loss: 0.5893
Epoch 11/150
153/153 [==============================] - 0s 880us/step - loss: 0.5876
Epoch 12/150
153/153 [==============================] - 0s 880us/step - loss: 0.5826
Epoch 13/150
153/153 [==============================] - 0s 913us/step - loss: 0.5809
Epoch 14/150
153/153 [==============================] - 0s 952us/step - loss: 0.5819
Epoch 15/150
153/153 [==============================] - 0s 971us/step - loss: 0.5782
Epoch 16/150
153/153 [==============================] - 0s 926us/step - loss: 0.5755
Epoch 17/150
153/153 [==============================] - 0s 932us/step - loss: 0.5714
Epoch 18/150
153/153 [==============================] - 0s 932us/step - loss: 0.5730
Epoch 19/150
153/153 [==============================] - 0s 926us/step - loss: 0.5718
Epoch 20/150
153/153 [==============================] - 0s 867us/step - loss: 0.5693
Epoch 21/150
153/153 [==============================] - 0s 971us/step - loss: 0.5698
Epoch 22/150
153/153 [==============================] - 0s 893us/step - loss: 0.5659
Epoch 23/150
153/153 [==============================] - 0s 965us/step - loss: 0.5648
Epoch 24/150
153/153 [==============================] - 0s 958us/step - loss: 0.5653
Epoch 25/150
153/153 [==============================] - 0s 991us/step - loss: 0.5626
Epoch 26/150
153/153 [==============================] - 0s 939us/step - loss: 0.5640
Epoch 27/150
153/153 [==============================] - 0s 958us/step - loss: 0.5603
Epoch 28/150
153/153 [==============================] - 0s 952us/step - loss: 0.5613
Epoch 29/150
153/153 [==============================] - 0s 926us/step - loss: 0.5609
Epoch 30/150
153/153 [==============================] - 0s 945us/step - loss: 0.5600
Epoch 31/150
153/153 [==============================] - 0s 932us/step - loss: 0.5542
Epoch 32/150
153/153 [==============================] - 0s 958us/step - loss: 0.5585
Epoch 33/150
153/153 [==============================] - 0s 978us/step - loss: 0.5568
Epoch 34/150
153/153 [==============================] - 0s 900us/step - loss: 0.5514
Epoch 35/150
153/153 [==============================] - 0s 887us/step - loss: 0.5576
Epoch 36/150
153/153 [==============================] - 0s 841us/step - loss: 0.5559
Epoch 37/150
153/153 [==============================] - 0s 906us/step - loss: 0.5532
Epoch 38/150
153/153 [==============================] - 0s 932us/step - loss: 0.5543
Epoch 39/150
153/153 [==============================] - 0s 900us/step - loss: 0.5531
Epoch 40/150
153/153 [==============================] - 0s 984us/step - loss: 0.5515
Epoch 41/150
153/153 [==============================] - 0s 887us/step - loss: 0.5504
Epoch 42/150
153/153 [==============================] - 0s 880us/step - loss: 0.5518
Epoch 43/150
153/153 [==============================] - 0s 828us/step - loss: 0.5529
Epoch 44/150
153/153 [==============================] - 0s 900us/step - loss: 0.5511
Epoch 45/150
153/153 [==============================] - 0s 900us/step - loss: 0.5529
Epoch 46/150
153/153 [==============================] - 0s 900us/step - loss: 0.5502
Epoch 47/150
153/153 [==============================] - 0s 932us/step - loss: 0.5480
Epoch 48/150
153/153 [==============================] - 0s 958us/step - loss: 0.5491
Epoch 49/150
153/153 [==============================] - 0s 932us/step - loss: 0.5482
Epoch 50/150
153/153 [==============================] - 0s 958us/step - loss: 0.5484
Epoch 51/150
153/153 [==============================] - 0s 939us/step - loss: 0.5456
Epoch 52/150
153/153 [==============================] - 0s 939us/step - loss: 0.5467
Epoch 53/150
153/153 [==============================] - 0s 906us/step - loss: 0.5465
Epoch 54/150
153/153 [==============================] - 0s 887us/step - loss: 0.5467
Epoch 55/150
153/153 [==============================] - 0s 860us/step - loss: 0.5441
Epoch 56/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5449
Epoch 57/150
153/153 [==============================] - 0s 880us/step - loss: 0.5448
Epoch 58/150
153/153 [==============================] - 0s 991us/step - loss: 0.5420
Epoch 59/150
153/153 [==============================] - 0s 926us/step - loss: 0.5444
Epoch 60/150
153/153 [==============================] - 0s 958us/step - loss: 0.5417
Epoch 61/150
153/153 [==============================] - 0s 965us/step - loss: 0.5411
Epoch 62/150
153/153 [==============================] - 0s 913us/step - loss: 0.5433
Epoch 63/150
153/153 [==============================] - 0s 900us/step - loss: 0.5428
Epoch 64/150
153/153 [==============================] - 0s 906us/step - loss: 0.5405
Epoch 65/150
153/153 [==============================] - 0s 847us/step - loss: 0.5418
Epoch 66/150
153/153 [==============================] - 0s 847us/step - loss: 0.5396
Epoch 67/150
153/153 [==============================] - 0s 867us/step - loss: 0.5404
Epoch 68/150
153/153 [==============================] - 0s 873us/step - loss: 0.5412
Epoch 69/150
153/153 [==============================] - 0s 867us/step - loss: 0.5390
Epoch 70/150
153/153 [==============================] - 0s 847us/step - loss: 0.5389
Epoch 71/150
153/153 [==============================] - 0s 841us/step - loss: 0.5414
Epoch 72/150
153/153 [==============================] - 0s 802us/step - loss: 0.5378
Epoch 73/150
153/153 [==============================] - 0s 834us/step - loss: 0.5382
Epoch 74/150
153/153 [==============================] - 0s 821us/step - loss: 0.5385
Epoch 75/150
153/153 [==============================] - 0s 965us/step - loss: 0.5383
Epoch 76/150
153/153 [==============================] - 0s 919us/step - loss: 0.5426
Epoch 77/150
153/153 [==============================] - 0s 939us/step - loss: 0.5376
Epoch 78/150
153/153 [==============================] - 0s 932us/step - loss: 0.5373
Epoch 79/150
153/153 [==============================] - 0s 834us/step - loss: 0.5395
Epoch 80/150
153/153 [==============================] - 0s 841us/step - loss: 0.5362
Epoch 81/150
153/153 [==============================] - 0s 841us/step - loss: 0.5362
Epoch 82/150
153/153 [==============================] - 0s 880us/step - loss: 0.5371
Epoch 83/150
153/153 [==============================] - 0s 900us/step - loss: 0.5352
Epoch 84/150
153/153 [==============================] - 0s 880us/step - loss: 0.5372
Epoch 85/150
153/153 [==============================] - 0s 887us/step - loss: 0.5365
Epoch 86/150
153/153 [==============================] - 0s 906us/step - loss: 0.5315
Epoch 87/150
153/153 [==============================] - 0s 887us/step - loss: 0.5372
Epoch 88/150
153/153 [==============================] - 0s 893us/step - loss: 0.5362
Epoch 89/150
153/153 [==============================] - 0s 971us/step - loss: 0.5386
Epoch 90/150
153/153 [==============================] - 0s 893us/step - loss: 0.5343
Epoch 91/150
153/153 [==============================] - 0s 971us/step - loss: 0.5340
Epoch 92/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5333
Epoch 93/150
153/153 [==============================] - 0s 913us/step - loss: 0.5320
Epoch 94/150
153/153 [==============================] - 0s 913us/step - loss: 0.5343
Epoch 95/150
153/153 [==============================] - 0s 919us/step - loss: 0.5336
Epoch 96/150
153/153 [==============================] - 0s 971us/step - loss: 0.5339
Epoch 97/150
153/153 [==============================] - 0s 978us/step - loss: 0.5350
Epoch 98/150
153/153 [==============================] - 0s 887us/step - loss: 0.5337
Epoch 99/150
153/153 [==============================] - 0s 886us/step - loss: 0.5289
Epoch 100/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5309
Epoch 101/150
153/153 [==============================] - 0s 880us/step - loss: 0.5301
Epoch 102/150
153/153 [==============================] - 0s 926us/step - loss: 0.5304
Epoch 103/150
153/153 [==============================] - 0s 926us/step - loss: 0.5287
Epoch 104/150
153/153 [==============================] - 0s 919us/step - loss: 0.5304
Epoch 105/150
153/153 [==============================] - 0s 873us/step - loss: 0.5326
Epoch 106/150
153/153 [==============================] - 0s 887us/step - loss: 0.5294
Epoch 107/150
153/153 [==============================] - 0s 913us/step - loss: 0.5294
Epoch 108/150
153/153 [==============================] - 0s 913us/step - loss: 0.5296
Epoch 109/150
153/153 [==============================] - 0s 958us/step - loss: 0.5272
Epoch 110/150
153/153 [==============================] - 0s 919us/step - loss: 0.5301
Epoch 111/150
153/153 [==============================] - 0s 939us/step - loss: 0.5277
Epoch 112/150
153/153 [==============================] - 0s 873us/step - loss: 0.5284
Epoch 113/150
153/153 [==============================] - 0s 906us/step - loss: 0.5308
Epoch 114/150
153/153 [==============================] - 0s 978us/step - loss: 0.5273
Epoch 115/150
153/153 [==============================] - 0s 828us/step - loss: 0.5299
Epoch 116/150
153/153 [==============================] - 0s 867us/step - loss: 0.5285
Epoch 117/150
153/153 [==============================] - 0s 841us/step - loss: 0.5304
Epoch 118/150
153/153 [==============================] - 0s 926us/step - loss: 0.5271
Epoch 119/150
153/153 [==============================] - 0s 913us/step - loss: 0.5285
Epoch 120/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5265
Epoch 121/150
153/153 [==============================] - 0s 932us/step - loss: 0.5248
Epoch 122/150
153/153 [==============================] - 0s 893us/step - loss: 0.5285
Epoch 123/150
153/153 [==============================] - 0s 880us/step - loss: 0.5264
Epoch 124/150
153/153 [==============================] - 0s 873us/step - loss: 0.5256
Epoch 125/150
153/153 [==============================] - 0s 834us/step - loss: 0.5268
Epoch 126/150
153/153 [==============================] - 0s 880us/step - loss: 0.5242
Epoch 127/150
153/153 [==============================] - 0s 867us/step - loss: 0.5281
Epoch 128/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5203
Epoch 129/150
153/153 [==============================] - 0s 991us/step - loss: 0.5283
Epoch 130/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5218
Epoch 131/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5287
Epoch 132/150
153/153 [==============================] - 0s 899us/step - loss: 0.5242
Epoch 133/150
153/153 [==============================] - 0s 887us/step - loss: 0.5247
Epoch 134/150
153/153 [==============================] - 0s 860us/step - loss: 0.5229
Epoch 135/150
153/153 [==============================] - 0s 873us/step - loss: 0.5238
Epoch 136/150
153/153 [==============================] - 0s 893us/step - loss: 0.5236
Epoch 137/150
153/153 [==============================] - 0s 906us/step - loss: 0.5248
Epoch 138/150
153/153 [==============================] - 0s 841us/step - loss: 0.5227
Epoch 139/150
153/153 [==============================] - 0s 893us/step - loss: 0.5202
Epoch 140/150
153/153 [==============================] - 0s 847us/step - loss: 0.5227
Epoch 141/150
153/153 [==============================] - 0s 971us/step - loss: 0.5191
Epoch 142/150
153/153 [==============================] - 0s 873us/step - loss: 0.5214
Epoch 143/150
153/153 [==============================] - 0s 880us/step - loss: 0.5251
Epoch 144/150
153/153 [==============================] - 0s 834us/step - loss: 0.5203
Epoch 145/150
153/153 [==============================] - 0s 834us/step - loss: 0.5202
Epoch 146/150
153/153 [==============================] - 0s 841us/step - loss: 0.5226
Epoch 147/150
153/153 [==============================] - 0s 782us/step - loss: 0.5228
Epoch 148/150
153/153 [==============================] - 0s 802us/step - loss: 0.5206
Epoch 149/150
153/153 [==============================] - 0s 854us/step - loss: 0.5195
Epoch 150/150
153/153 [==============================] - 0s 867us/step - loss: 0.5242
###################################################################### Accuracy: 71.31442219066403
Epoch 1/10
76/76 [==============================] - 0s 1ms/step - loss: 1.0110
Epoch 2/10
76/76 [==============================] - 0s 840us/step - loss: 0.9163
Epoch 3/10
76/76 [==============================] - 0s 892us/step - loss: 0.7111
Epoch 4/10
76/76 [==============================] - 0s 919us/step - loss: 0.6418
Epoch 5/10
76/76 [==============================] - 0s 866us/step - loss: 0.6252
Epoch 6/10
76/76 [==============================] - 0s 787us/step - loss: 0.6174
Epoch 7/10
76/76 [==============================] - 0s 853us/step - loss: 0.6117
Epoch 8/10
76/76 [==============================] - 0s 866us/step - loss: 0.6021
Epoch 9/10
76/76 [==============================] - 0s 827us/step - loss: 0.5987
Epoch 10/10
76/76 [==============================] - 0s 919us/step - loss: 0.5935
###################################################################### Accuracy: 68.81189972557645
Epoch 1/10
77/77 [==============================] - 0s 1ms/step - loss: 0.9787
Epoch 2/10
77/77 [==============================] - 0s 948us/step - loss: 0.8962
Epoch 3/10
77/77 [==============================] - 0s 933us/step - loss: 0.7499
Epoch 4/10
77/77 [==============================] - 0s 829us/step - loss: 0.6779
Epoch 5/10
77/77 [==============================] - 0s 829us/step - loss: 0.6509
Epoch 6/10
77/77 [==============================] - 0s 881us/step - loss: 0.6429
Epoch 7/10
77/77 [==============================] - 0s 881us/step - loss: 0.6386
Epoch 8/10
77/77 [==============================] - 0s 894us/step - loss: 0.6349
Epoch 9/10
77/77 [==============================] - 0s 894us/step - loss: 0.6316
Epoch 10/10
77/77 [==============================] - 0s 946us/step - loss: 0.6271
###################################################################### Accuracy: 76.08403117128022
Epoch 1/10
 1/77 [..............................] - ETA: 0s - loss: 0.3550WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0156s). Check your callbacks.
77/77 [==============================] - 0s 1ms/step - loss: 0.9713
Epoch 2/10
77/77 [==============================] - 0s 946us/step - loss: 0.8974
Epoch 3/10
77/77 [==============================] - 0s 881us/step - loss: 0.7530
Epoch 4/10
77/77 [==============================] - 0s 868us/step - loss: 0.6622
Epoch 5/10
77/77 [==============================] - 0s 920us/step - loss: 0.6280
Epoch 6/10
77/77 [==============================] - 0s 868us/step - loss: 0.6167
Epoch 7/10
77/77 [==============================] - 0s 894us/step - loss: 0.6108
Epoch 8/10
77/77 [==============================] - 0s 907us/step - loss: 0.6042
Epoch 9/10
77/77 [==============================] - 0s 933us/step - loss: 0.6013
Epoch 10/10
77/77 [==============================] - 0s 920us/step - loss: 0.5983
###################################################################### Accuracy: 91.16863869808786
Epoch 1/10
77/77 [==============================] - 0s 1ms/step - loss: 1.0138
Epoch 2/10
77/77 [==============================] - 0s 933us/step - loss: 0.9470
Epoch 3/10
77/77 [==============================] - 0s 894us/step - loss: 0.7713
Epoch 4/10
77/77 [==============================] - 0s 946us/step - loss: 0.6692
Epoch 5/10
77/77 [==============================] - 0s 894us/step - loss: 0.6565
Epoch 6/10
77/77 [==============================] - 0s 946us/step - loss: 0.6498
Epoch 7/10
77/77 [==============================] - 0s 946us/step - loss: 0.6476
Epoch 8/10
77/77 [==============================] - 0s 920us/step - loss: 0.6434
Epoch 9/10
77/77 [==============================] - 0s 907us/step - loss: 0.6418
Epoch 10/10
77/77 [==============================] - 0s 920us/step - loss: 0.6397
###################################################################### Accuracy: 74.18388921523957
Epoch 1/10
77/77 [==============================] - 0s 946us/step - loss: 0.9953
Epoch 2/10
77/77 [==============================] - 0s 958us/step - loss: 0.9062
Epoch 3/10
77/77 [==============================] - 0s 971us/step - loss: 0.7279
Epoch 4/10
77/77 [==============================] - 0s 933us/step - loss: 0.6509
Epoch 5/10
77/77 [==============================] - 0s 920us/step - loss: 0.6387
Epoch 6/10
77/77 [==============================] - 0s 894us/step - loss: 0.6334
Epoch 7/10
77/77 [==============================] - 0s 868us/step - loss: 0.6286
Epoch 8/10
77/77 [==============================] - 0s 842us/step - loss: 0.6249
Epoch 9/10
77/77 [==============================] - 0s 855us/step - loss: 0.6205
Epoch 10/10
77/77 [==============================] - 0s 881us/step - loss: 0.6166
###################################################################### Accuracy: 74.92382913634657
Epoch 1/20
76/76 [==============================] - 0s 881us/step - loss: 1.0164
Epoch 2/20
76/76 [==============================] - 0s 787us/step - loss: 0.9648
Epoch 3/20
76/76 [==============================] - 0s 748us/step - loss: 0.7514
Epoch 4/20
76/76 [==============================] - 0s 761us/step - loss: 0.6494
Epoch 5/20
76/76 [==============================] - 0s 696us/step - loss: 0.6250
Epoch 6/20
76/76 [==============================] - 0s 748us/step - loss: 0.6172
Epoch 7/20
76/76 [==============================] - 0s 543us/step - loss: 0.6088
Epoch 8/20
76/76 [==============================] - 0s 617us/step - loss: 0.6021
Epoch 9/20
76/76 [==============================] - 0s 949us/step - loss: 0.5962
Epoch 10/20
76/76 [==============================] - 0s 1ms/step - loss: 0.5909
Epoch 11/20
76/76 [==============================] - 0s 932us/step - loss: 0.5882
Epoch 12/20
76/76 [==============================] - 0s 919us/step - loss: 0.5857
Epoch 13/20
76/76 [==============================] - 0s 1ms/step - loss: 0.5791
Epoch 14/20
76/76 [==============================] - 0s 945us/step - loss: 0.5767
Epoch 15/20
76/76 [==============================] - 0s 853us/step - loss: 0.5795
Epoch 16/20
76/76 [==============================] - 0s 879us/step - loss: 0.5747
Epoch 17/20
76/76 [==============================] - 0s 1ms/step - loss: 0.5733
Epoch 18/20
76/76 [==============================] - 0s 866us/step - loss: 0.5688
Epoch 19/20
76/76 [==============================] - 0s 892us/step - loss: 0.5689
Epoch 20/20
76/76 [==============================] - 0s 787us/step - loss: 0.5680
###################################################################### Accuracy: 69.70600848837057
Epoch 1/20
77/77 [==============================] - 0s 939us/step - loss: 0.9816
Epoch 2/20
77/77 [==============================] - 0s 803us/step - loss: 0.9184
Epoch 3/20
77/77 [==============================] - 0s 868us/step - loss: 0.7758
Epoch 4/20
77/77 [==============================] - 0s 842us/step - loss: 0.6716
Epoch 5/20
77/77 [==============================] - 0s 907us/step - loss: 0.6430
Epoch 6/20
77/77 [==============================] - 0s 842us/step - loss: 0.6399
Epoch 7/20
77/77 [==============================] - 0s 920us/step - loss: 0.6300
Epoch 8/20
77/77 [==============================] - 0s 868us/step - loss: 0.6227
Epoch 9/20
77/77 [==============================] - 0s 894us/step - loss: 0.6168
Epoch 10/20
77/77 [==============================] - 0s 997us/step - loss: 0.6156
Epoch 11/20
77/77 [==============================] - 0s 958us/step - loss: 0.6090
Epoch 12/20
77/77 [==============================] - 0s 958us/step - loss: 0.6079
Epoch 13/20
77/77 [==============================] - 0s 920us/step - loss: 0.6043
Epoch 14/20
77/77 [==============================] - 0s 881us/step - loss: 0.5992
Epoch 15/20
77/77 [==============================] - 0s 933us/step - loss: 0.5978
Epoch 16/20
77/77 [==============================] - 0s 1ms/step - loss: 0.5929
Epoch 17/20
77/77 [==============================] - 0s 958us/step - loss: 0.5910
Epoch 18/20
77/77 [==============================] - 0s 971us/step - loss: 0.5880
Epoch 19/20
77/77 [==============================] - 0s 894us/step - loss: 0.5873
Epoch 20/20
77/77 [==============================] - 0s 958us/step - loss: 0.5854
###################################################################### Accuracy: 75.05666243513495
Epoch 1/20
77/77 [==============================] - 0s 900us/step - loss: 0.9736
Epoch 2/20
77/77 [==============================] - 0s 958us/step - loss: 0.9211
Epoch 3/20
77/77 [==============================] - 0s 881us/step - loss: 0.7593
Epoch 4/20
77/77 [==============================] - 0s 984us/step - loss: 0.6465
Epoch 5/20
77/77 [==============================] - 0s 933us/step - loss: 0.6252
Epoch 6/20
77/77 [==============================] - 0s 933us/step - loss: 0.6182
Epoch 7/20
77/77 [==============================] - 0s 1ms/step - loss: 0.6120
Epoch 8/20
77/77 [==============================] - 0s 984us/step - loss: 0.6087
Epoch 9/20
77/77 [==============================] - 0s 855us/step - loss: 0.6043
Epoch 10/20
77/77 [==============================] - 0s 933us/step - loss: 0.5986
Epoch 11/20
77/77 [==============================] - 0s 984us/step - loss: 0.5969
Epoch 12/20
77/77 [==============================] - 0s 894us/step - loss: 0.5920
Epoch 13/20
77/77 [==============================] - 0s 920us/step - loss: 0.5904
Epoch 14/20
77/77 [==============================] - 0s 894us/step - loss: 0.5892
Epoch 15/20
77/77 [==============================] - 0s 933us/step - loss: 0.5851
Epoch 16/20
77/77 [==============================] - 0s 971us/step - loss: 0.5828
Epoch 17/20
77/77 [==============================] - 0s 971us/step - loss: 0.5790
Epoch 18/20
77/77 [==============================] - 0s 933us/step - loss: 0.5773
Epoch 19/20
77/77 [==============================] - 0s 946us/step - loss: 0.5764
Epoch 20/20
77/77 [==============================] - 0s 868us/step - loss: 0.5732
###################################################################### Accuracy: 90.2360887780689
Epoch 1/20
77/77 [==============================] - 0s 933us/step - loss: 1.0148
Epoch 2/20
77/77 [==============================] - 0s 842us/step - loss: 0.9575
Epoch 3/20
77/77 [==============================] - 0s 907us/step - loss: 0.7940
Epoch 4/20
77/77 [==============================] - 0s 842us/step - loss: 0.6842
Epoch 5/20
77/77 [==============================] - 0s 855us/step - loss: 0.6606
Epoch 6/20
77/77 [==============================] - 0s 920us/step - loss: 0.6539
Epoch 7/20
77/77 [==============================] - 0s 907us/step - loss: 0.6488
Epoch 8/20
77/77 [==============================] - 0s 907us/step - loss: 0.6460
Epoch 9/20
77/77 [==============================] - 0s 855us/step - loss: 0.6413
Epoch 10/20
77/77 [==============================] - 0s 868us/step - loss: 0.6390
Epoch 11/20
77/77 [==============================] - 0s 920us/step - loss: 0.6376
Epoch 12/20
77/77 [==============================] - 0s 894us/step - loss: 0.6336
Epoch 13/20
77/77 [==============================] - 0s 933us/step - loss: 0.6314
Epoch 14/20
77/77 [==============================] - 0s 855us/step - loss: 0.6279
Epoch 15/20
77/77 [==============================] - 0s 907us/step - loss: 0.6249
Epoch 16/20
77/77 [==============================] - 0s 894us/step - loss: 0.6232
Epoch 17/20
77/77 [==============================] - 0s 816us/step - loss: 0.6198
Epoch 18/20
77/77 [==============================] - 0s 894us/step - loss: 0.6172
Epoch 19/20
77/77 [==============================] - 0s 881us/step - loss: 0.6169
Epoch 20/20
77/77 [==============================] - 0s 933us/step - loss: 0.6145
###################################################################### Accuracy: 72.23867898352957
Epoch 1/20
77/77 [==============================] - 0s 1ms/step - loss: 0.9999
Epoch 2/20
77/77 [==============================] - 0s 933us/step - loss: 0.9415
Epoch 3/20
77/77 [==============================] - 0s 881us/step - loss: 0.7725
Epoch 4/20
77/77 [==============================] - 0s 829us/step - loss: 0.6678
Epoch 5/20
77/77 [==============================] - 0s 868us/step - loss: 0.6409
Epoch 6/20
77/77 [==============================] - 0s 868us/step - loss: 0.6346
Epoch 7/20
77/77 [==============================] - 0s 790us/step - loss: 0.6283
Epoch 8/20
77/77 [==============================] - 0s 881us/step - loss: 0.6238
Epoch 9/20
77/77 [==============================] - 0s 933us/step - loss: 0.6176
Epoch 10/20
77/77 [==============================] - 0s 816us/step - loss: 0.6158
Epoch 11/20
77/77 [==============================] - 0s 907us/step - loss: 0.6087
Epoch 12/20
77/77 [==============================] - 0s 933us/step - loss: 0.6045
Epoch 13/20
77/77 [==============================] - 0s 920us/step - loss: 0.6005
Epoch 14/20
77/77 [==============================] - 0s 946us/step - loss: 0.5977
Epoch 15/20
77/77 [==============================] - 0s 958us/step - loss: 0.5975
Epoch 16/20
77/77 [==============================] - 0s 920us/step - loss: 0.5928
Epoch 17/20
77/77 [==============================] - 0s 958us/step - loss: 0.5915
Epoch 18/20
77/77 [==============================] - 0s 842us/step - loss: 0.5887
Epoch 19/20
77/77 [==============================] - 0s 971us/step - loss: 0.5868
Epoch 20/20
77/77 [==============================] - 0s 868us/step - loss: 0.5843
###################################################################### Accuracy: 72.27737147435909
Epoch 1/50
76/76 [==============================] - 0s 853us/step - loss: 1.0168
Epoch 2/50
76/76 [==============================] - 0s 840us/step - loss: 0.9542
Epoch 3/50
76/76 [==============================] - 0s 997us/step - loss: 0.7461
Epoch 4/50
76/76 [==============================] - 0s 892us/step - loss: 0.6487
Epoch 5/50
76/76 [==============================] - 0s 1ms/step - loss: 0.6308
Epoch 6/50
76/76 [==============================] - 0s 853us/step - loss: 0.6224
Epoch 7/50
76/76 [==============================] - 0s 905us/step - loss: 0.6154
Epoch 8/50
76/76 [==============================] - 0s 827us/step - loss: 0.6105
Epoch 9/50
76/76 [==============================] - 0s 774us/step - loss: 0.6057
Epoch 10/50
76/76 [==============================] - 0s 774us/step - loss: 0.6024
Epoch 11/50
76/76 [==============================] - 0s 761us/step - loss: 0.5970
Epoch 12/50
76/76 [==============================] - 0s 814us/step - loss: 0.5928
Epoch 13/50
76/76 [==============================] - 0s 800us/step - loss: 0.5894
Epoch 14/50
76/76 [==============================] - 0s 827us/step - loss: 0.5848
Epoch 15/50
76/76 [==============================] - 0s 787us/step - loss: 0.5820
Epoch 16/50
76/76 [==============================] - 0s 827us/step - loss: 0.5805
Epoch 17/50
76/76 [==============================] - 0s 879us/step - loss: 0.5787
Epoch 18/50
76/76 [==============================] - 0s 892us/step - loss: 0.5752
Epoch 19/50
76/76 [==============================] - 0s 905us/step - loss: 0.5734
Epoch 20/50
76/76 [==============================] - 0s 853us/step - loss: 0.5703
Epoch 21/50
76/76 [==============================] - 0s 892us/step - loss: 0.5657
Epoch 22/50
76/76 [==============================] - 0s 787us/step - loss: 0.5660
Epoch 23/50
76/76 [==============================] - 0s 827us/step - loss: 0.5623
Epoch 24/50
76/76 [==============================] - 0s 827us/step - loss: 0.5621
Epoch 25/50
76/76 [==============================] - 0s 840us/step - loss: 0.5599
Epoch 26/50
76/76 [==============================] - 0s 840us/step - loss: 0.5587
Epoch 27/50
76/76 [==============================] - 0s 827us/step - loss: 0.5581
Epoch 28/50
76/76 [==============================] - 0s 801us/step - loss: 0.5557
Epoch 29/50
76/76 [==============================] - 0s 774us/step - loss: 0.5553
Epoch 30/50
76/76 [==============================] - 0s 814us/step - loss: 0.5516
Epoch 31/50
76/76 [==============================] - 0s 800us/step - loss: 0.5506
Epoch 32/50
76/76 [==============================] - 0s 787us/step - loss: 0.5499
Epoch 33/50
76/76 [==============================] - 0s 800us/step - loss: 0.5504
Epoch 34/50
76/76 [==============================] - 0s 827us/step - loss: 0.5478
Epoch 35/50
76/76 [==============================] - 0s 840us/step - loss: 0.5471
Epoch 36/50
76/76 [==============================] - 0s 945us/step - loss: 0.5470
Epoch 37/50
76/76 [==============================] - 0s 879us/step - loss: 0.5447
Epoch 38/50
76/76 [==============================] - 0s 919us/step - loss: 0.5450
Epoch 39/50
76/76 [==============================] - 0s 853us/step - loss: 0.5435
Epoch 40/50
76/76 [==============================] - 0s 945us/step - loss: 0.5446
Epoch 41/50
76/76 [==============================] - 0s 932us/step - loss: 0.5435
Epoch 42/50
76/76 [==============================] - 0s 866us/step - loss: 0.5411
Epoch 43/50
76/76 [==============================] - 0s 919us/step - loss: 0.5397
Epoch 44/50
76/76 [==============================] - 0s 905us/step - loss: 0.5391
Epoch 45/50
76/76 [==============================] - 0s 1ms/step - loss: 0.5411
Epoch 46/50
76/76 [==============================] - 0s 853us/step - loss: 0.5394
Epoch 47/50
76/76 [==============================] - 0s 866us/step - loss: 0.5381
Epoch 48/50
76/76 [==============================] - 0s 892us/step - loss: 0.5360
Epoch 49/50
76/76 [==============================] - 0s 853us/step - loss: 0.5362
Epoch 50/50
76/76 [==============================] - 0s 919us/step - loss: 0.5352
###################################################################### Accuracy: 74.72172553281005
Epoch 1/50
77/77 [==============================] - 0s 984us/step - loss: 0.9806
Epoch 2/50
77/77 [==============================] - 0s 894us/step - loss: 0.9092
Epoch 3/50
77/77 [==============================] - 0s 920us/step - loss: 0.7763
Epoch 4/50
77/77 [==============================] - 0s 894us/step - loss: 0.7008
Epoch 5/50
77/77 [==============================] - 0s 881us/step - loss: 0.6577
Epoch 6/50
77/77 [==============================] - 0s 958us/step - loss: 0.6412
Epoch 7/50
77/77 [==============================] - 0s 855us/step - loss: 0.6307
Epoch 8/50
77/77 [==============================] - 0s 855us/step - loss: 0.6210
Epoch 9/50
77/77 [==============================] - 0s 881us/step - loss: 0.6171
Epoch 10/50
77/77 [==============================] - 0s 868us/step - loss: 0.6115
Epoch 11/50
77/77 [==============================] - 0s 855us/step - loss: 0.6076
Epoch 12/50
77/77 [==============================] - 0s 881us/step - loss: 0.6023
Epoch 13/50
77/77 [==============================] - 0s 958us/step - loss: 0.5968
Epoch 14/50
77/77 [==============================] - 0s 894us/step - loss: 0.5920
Epoch 15/50
77/77 [==============================] - 0s 907us/step - loss: 0.5894
Epoch 16/50
77/77 [==============================] - 0s 971us/step - loss: 0.5869
Epoch 17/50
77/77 [==============================] - 0s 933us/step - loss: 0.5837
Epoch 18/50
77/77 [==============================] - 0s 958us/step - loss: 0.5809
Epoch 19/50
77/77 [==============================] - 0s 946us/step - loss: 0.5789
Epoch 20/50
77/77 [==============================] - 0s 958us/step - loss: 0.5759
Epoch 21/50
77/77 [==============================] - 0s 945us/step - loss: 0.5757
Epoch 22/50
77/77 [==============================] - 0s 971us/step - loss: 0.5745
Epoch 23/50
77/77 [==============================] - 0s 933us/step - loss: 0.5715
Epoch 24/50
77/77 [==============================] - 0s 946us/step - loss: 0.5711
Epoch 25/50
77/77 [==============================] - 0s 920us/step - loss: 0.5692
Epoch 26/50
77/77 [==============================] - 0s 933us/step - loss: 0.5673
Epoch 27/50
77/77 [==============================] - 0s 958us/step - loss: 0.5659
Epoch 28/50
77/77 [==============================] - 0s 997us/step - loss: 0.5666
Epoch 29/50
77/77 [==============================] - 0s 971us/step - loss: 0.5637
Epoch 30/50
77/77 [==============================] - 0s 971us/step - loss: 0.5641
Epoch 31/50
77/77 [==============================] - 0s 958us/step - loss: 0.5636
Epoch 32/50
77/77 [==============================] - 0s 971us/step - loss: 0.5625
Epoch 33/50
77/77 [==============================] - 0s 933us/step - loss: 0.5620
Epoch 34/50
77/77 [==============================] - 0s 946us/step - loss: 0.5620
Epoch 35/50
77/77 [==============================] - 0s 933us/step - loss: 0.5605
Epoch 36/50
77/77 [==============================] - 0s 907us/step - loss: 0.5606
Epoch 37/50
77/77 [==============================] - 0s 855us/step - loss: 0.5586
Epoch 38/50
77/77 [==============================] - 0s 894us/step - loss: 0.5590
Epoch 39/50
77/77 [==============================] - 0s 920us/step - loss: 0.5560
Epoch 40/50
77/77 [==============================] - 0s 868us/step - loss: 0.5550
Epoch 41/50
77/77 [==============================] - 0s 868us/step - loss: 0.5566
Epoch 42/50
77/77 [==============================] - 0s 894us/step - loss: 0.5569
Epoch 43/50
77/77 [==============================] - 0s 881us/step - loss: 0.5540
Epoch 44/50
77/77 [==============================] - 0s 946us/step - loss: 0.5535
Epoch 45/50
77/77 [==============================] - 0s 959us/step - loss: 0.5508
Epoch 46/50
77/77 [==============================] - 0s 984us/step - loss: 0.5509
Epoch 47/50
77/77 [==============================] - 0s 920us/step - loss: 0.5495
Epoch 48/50
77/77 [==============================] - 0s 1ms/step - loss: 0.5508
Epoch 49/50
77/77 [==============================] - 0s 946us/step - loss: 0.5499
Epoch 50/50
77/77 [==============================] - 0s 920us/step - loss: 0.5497
###################################################################### Accuracy: 67.44573847289605
Epoch 1/50
77/77 [==============================] - 0s 1ms/step - loss: 0.9683
Epoch 2/50
77/77 [==============================] - 0s 1ms/step - loss: 0.8894
Epoch 3/50
77/77 [==============================] - 0s 958us/step - loss: 0.7211
Epoch 4/50
77/77 [==============================] - 0s 946us/step - loss: 0.6396
Epoch 5/50
77/77 [==============================] - 0s 946us/step - loss: 0.6235
Epoch 6/50
77/77 [==============================] - 0s 881us/step - loss: 0.6168
Epoch 7/50
77/77 [==============================] - 0s 881us/step - loss: 0.6145
Epoch 8/50
77/77 [==============================] - 0s 881us/step - loss: 0.6102
Epoch 9/50
77/77 [==============================] - 0s 984us/step - loss: 0.6054
Epoch 10/50
77/77 [==============================] - 0s 946us/step - loss: 0.6029
Epoch 11/50
77/77 [==============================] - 0s 971us/step - loss: 0.5993
Epoch 12/50
77/77 [==============================] - 0s 881us/step - loss: 0.5965
Epoch 13/50
77/77 [==============================] - 0s 1ms/step - loss: 0.5930
Epoch 14/50
77/77 [==============================] - 0s 933us/step - loss: 0.5898
Epoch 15/50
77/77 [==============================] - 0s 920us/step - loss: 0.5873
Epoch 16/50
77/77 [==============================] - 0s 958us/step - loss: 0.5844
Epoch 17/50
77/77 [==============================] - 0s 997us/step - loss: 0.5825
Epoch 18/50
77/77 [==============================] - 0s 997us/step - loss: 0.5813
Epoch 19/50
77/77 [==============================] - 0s 946us/step - loss: 0.5801
Epoch 20/50
77/77 [==============================] - 0s 920us/step - loss: 0.5765
Epoch 21/50
77/77 [==============================] - 0s 933us/step - loss: 0.5759
Epoch 22/50
77/77 [==============================] - 0s 984us/step - loss: 0.5738
Epoch 23/50
77/77 [==============================] - 0s 958us/step - loss: 0.5706
Epoch 24/50
77/77 [==============================] - 0s 958us/step - loss: 0.5714
Epoch 25/50
77/77 [==============================] - 0s 958us/step - loss: 0.5681
Epoch 26/50
77/77 [==============================] - 0s 933us/step - loss: 0.5673
Epoch 27/50
77/77 [==============================] - 0s 894us/step - loss: 0.5668
Epoch 28/50
77/77 [==============================] - 0s 907us/step - loss: 0.5659
Epoch 29/50
77/77 [==============================] - 0s 946us/step - loss: 0.5615
Epoch 30/50
77/77 [==============================] - 0s 946us/step - loss: 0.5606
Epoch 31/50
77/77 [==============================] - 0s 920us/step - loss: 0.5615
Epoch 32/50
77/77 [==============================] - 0s 920us/step - loss: 0.5593
Epoch 33/50
77/77 [==============================] - 0s 920us/step - loss: 0.5576
Epoch 34/50
77/77 [==============================] - 0s 907us/step - loss: 0.5576
Epoch 35/50
77/77 [==============================] - 0s 958us/step - loss: 0.5556
Epoch 36/50
77/77 [==============================] - 0s 997us/step - loss: 0.5541
Epoch 37/50
77/77 [==============================] - 0s 920us/step - loss: 0.5547
Epoch 38/50
77/77 [==============================] - 0s 894us/step - loss: 0.5525
Epoch 39/50
77/77 [==============================] - 0s 868us/step - loss: 0.5534
Epoch 40/50
77/77 [==============================] - 0s 920us/step - loss: 0.5523
Epoch 41/50
77/77 [==============================] - 0s 946us/step - loss: 0.5511
Epoch 42/50
77/77 [==============================] - 0s 933us/step - loss: 0.5519
Epoch 43/50
77/77 [==============================] - 0s 894us/step - loss: 0.5483
Epoch 44/50
77/77 [==============================] - 0s 946us/step - loss: 0.5484
Epoch 45/50
77/77 [==============================] - 0s 933us/step - loss: 0.5471
Epoch 46/50
77/77 [==============================] - 0s 958us/step - loss: 0.5471
Epoch 47/50
77/77 [==============================] - 0s 933us/step - loss: 0.5459
Epoch 48/50
77/77 [==============================] - 0s 971us/step - loss: 0.5476
Epoch 49/50
77/77 [==============================] - 0s 933us/step - loss: 0.5459
Epoch 50/50
77/77 [==============================] - 0s 984us/step - loss: 0.5449
###################################################################### Accuracy: 88.1244352664961
Epoch 1/50
77/77 [==============================] - 0s 958us/step - loss: 1.0130
Epoch 2/50
77/77 [==============================] - 0s 907us/step - loss: 0.9536
Epoch 3/50
77/77 [==============================] - 0s 868us/step - loss: 0.8204
Epoch 4/50
77/77 [==============================] - 0s 868us/step - loss: 0.7204
Epoch 5/50
77/77 [==============================] - 0s 920us/step - loss: 0.6651
Epoch 6/50
77/77 [==============================] - 0s 894us/step - loss: 0.6429
Epoch 7/50
77/77 [==============================] - 0s 920us/step - loss: 0.6340
Epoch 8/50
77/77 [==============================] - 0s 907us/step - loss: 0.6272
Epoch 9/50
77/77 [==============================] - 0s 894us/step - loss: 0.6225
Epoch 10/50
77/77 [==============================] - 0s 894us/step - loss: 0.6181
Epoch 11/50
77/77 [==============================] - 0s 894us/step - loss: 0.6158
Epoch 12/50
77/77 [==============================] - 0s 933us/step - loss: 0.6138
Epoch 13/50
77/77 [==============================] - 0s 868us/step - loss: 0.6098
Epoch 14/50
77/77 [==============================] - 0s 842us/step - loss: 0.6109
Epoch 15/50
77/77 [==============================] - 0s 855us/step - loss: 0.6059
Epoch 16/50
77/77 [==============================] - 0s 881us/step - loss: 0.6045
Epoch 17/50
77/77 [==============================] - 0s 920us/step - loss: 0.6035
Epoch 18/50
77/77 [==============================] - 0s 920us/step - loss: 0.6050
Epoch 19/50
77/77 [==============================] - 0s 920us/step - loss: 0.6014
Epoch 20/50
77/77 [==============================] - 0s 920us/step - loss: 0.6022
Epoch 21/50
77/77 [==============================] - 0s 907us/step - loss: 0.5989
Epoch 22/50
77/77 [==============================] - 0s 946us/step - loss: 0.5972
Epoch 23/50
77/77 [==============================] - 0s 946us/step - loss: 0.5972
Epoch 24/50
77/77 [==============================] - 0s 920us/step - loss: 0.5957
Epoch 25/50
77/77 [==============================] - 0s 946us/step - loss: 0.5937
Epoch 26/50
77/77 [==============================] - 0s 894us/step - loss: 0.5921
Epoch 27/50
77/77 [==============================] - 0s 894us/step - loss: 0.5931
Epoch 28/50
77/77 [==============================] - 0s 946us/step - loss: 0.5909
Epoch 29/50
77/77 [==============================] - 0s 907us/step - loss: 0.5910
Epoch 30/50
77/77 [==============================] - 0s 894us/step - loss: 0.5888
Epoch 31/50
77/77 [==============================] - 0s 894us/step - loss: 0.5877
Epoch 32/50
77/77 [==============================] - 0s 894us/step - loss: 0.5890
Epoch 33/50
77/77 [==============================] - 0s 933us/step - loss: 0.5867
Epoch 34/50
77/77 [==============================] - 0s 920us/step - loss: 0.5861
Epoch 35/50
77/77 [==============================] - 0s 881us/step - loss: 0.5865
Epoch 36/50
77/77 [==============================] - 0s 894us/step - loss: 0.5837
Epoch 37/50
77/77 [==============================] - 0s 907us/step - loss: 0.5833
Epoch 38/50
77/77 [==============================] - 0s 894us/step - loss: 0.5830
Epoch 39/50
77/77 [==============================] - 0s 920us/step - loss: 0.5820
Epoch 40/50
77/77 [==============================] - 0s 946us/step - loss: 0.5815
Epoch 41/50
77/77 [==============================] - 0s 945us/step - loss: 0.5832
Epoch 42/50
77/77 [==============================] - 0s 933us/step - loss: 0.5783
Epoch 43/50
77/77 [==============================] - 0s 958us/step - loss: 0.5765
Epoch 44/50
77/77 [==============================] - 0s 933us/step - loss: 0.5772
Epoch 45/50
77/77 [==============================] - 0s 920us/step - loss: 0.5757
Epoch 46/50
77/77 [==============================] - 0s 933us/step - loss: 0.5752
Epoch 47/50
77/77 [==============================] - 0s 971us/step - loss: 0.5732
Epoch 48/50
77/77 [==============================] - 0s 946us/step - loss: 0.5732
Epoch 49/50
77/77 [==============================] - 0s 946us/step - loss: 0.5726
Epoch 50/50
77/77 [==============================] - 0s 971us/step - loss: 0.5719
###################################################################### Accuracy: 72.26567685819886
Epoch 1/50
77/77 [==============================] - 0s 853us/step - loss: 0.9966
Epoch 2/50
77/77 [==============================] - 0s 868us/step - loss: 0.9167
Epoch 3/50
77/77 [==============================] - 0s 868us/step - loss: 0.7934
Epoch 4/50
77/77 [==============================] - 0s 855us/step - loss: 0.7585
Epoch 5/50
77/77 [==============================] - 0s 855us/step - loss: 0.7372
Epoch 6/50
77/77 [==============================] - 0s 868us/step - loss: 0.7188
Epoch 7/50
77/77 [==============================] - 0s 842us/step - loss: 0.7031
Epoch 8/50
77/77 [==============================] - 0s 842us/step - loss: 0.6924
Epoch 9/50
77/77 [==============================] - 0s 842us/step - loss: 0.6818
Epoch 10/50
77/77 [==============================] - 0s 855us/step - loss: 0.6735
Epoch 11/50
77/77 [==============================] - 0s 881us/step - loss: 0.6788
Epoch 12/50
77/77 [==============================] - 0s 920us/step - loss: 0.6608
Epoch 13/50
77/77 [==============================] - 0s 945us/step - loss: 0.6561
Epoch 14/50
77/77 [==============================] - 0s 919us/step - loss: 0.6495
Epoch 15/50
77/77 [==============================] - 0s 984us/step - loss: 0.6478
Epoch 16/50
77/77 [==============================] - 0s 958us/step - loss: 0.6431
Epoch 17/50
77/77 [==============================] - 0s 946us/step - loss: 0.6404
Epoch 18/50
77/77 [==============================] - 0s 984us/step - loss: 0.6368
Epoch 19/50
77/77 [==============================] - 0s 920us/step - loss: 0.6349
Epoch 20/50
77/77 [==============================] - 0s 933us/step - loss: 0.6316
Epoch 21/50
77/77 [==============================] - 0s 958us/step - loss: 0.6285
Epoch 22/50
77/77 [==============================] - 0s 881us/step - loss: 0.6254
Epoch 23/50
77/77 [==============================] - 0s 920us/step - loss: 0.6240
Epoch 24/50
77/77 [==============================] - 0s 881us/step - loss: 0.6201
Epoch 25/50
77/77 [==============================] - 0s 816us/step - loss: 0.6217
Epoch 26/50
77/77 [==============================] - 0s 855us/step - loss: 0.6157
Epoch 27/50
77/77 [==============================] - 0s 829us/step - loss: 0.6148
Epoch 28/50
77/77 [==============================] - 0s 855us/step - loss: 0.6154
Epoch 29/50
77/77 [==============================] - 0s 829us/step - loss: 0.6121
Epoch 30/50
77/77 [==============================] - 0s 894us/step - loss: 0.6106
Epoch 31/50
77/77 [==============================] - 0s 933us/step - loss: 0.6123
Epoch 32/50
77/77 [==============================] - 0s 920us/step - loss: 0.6081
Epoch 33/50
77/77 [==============================] - 0s 946us/step - loss: 0.6057
Epoch 34/50
77/77 [==============================] - 0s 894us/step - loss: 0.6063
Epoch 35/50
77/77 [==============================] - 0s 946us/step - loss: 0.6027
Epoch 36/50
77/77 [==============================] - 0s 907us/step - loss: 0.6022
Epoch 37/50
77/77 [==============================] - 0s 958us/step - loss: 0.6013
Epoch 38/50
77/77 [==============================] - 0s 933us/step - loss: 0.5992
Epoch 39/50
77/77 [==============================] - 0s 907us/step - loss: 0.6052
Epoch 40/50
77/77 [==============================] - 0s 920us/step - loss: 0.5979
Epoch 41/50
77/77 [==============================] - 0s 920us/step - loss: 0.6001
Epoch 42/50
77/77 [==============================] - 0s 855us/step - loss: 0.5935
Epoch 43/50
77/77 [==============================] - 0s 920us/step - loss: 0.5929
Epoch 44/50
77/77 [==============================] - 0s 933us/step - loss: 0.5930
Epoch 45/50
77/77 [==============================] - 0s 946us/step - loss: 0.5889
Epoch 46/50
77/77 [==============================] - 0s 958us/step - loss: 0.5894
Epoch 47/50
77/77 [==============================] - 0s 933us/step - loss: 0.5852
Epoch 48/50
77/77 [==============================] - 0s 946us/step - loss: 0.5851
Epoch 49/50
77/77 [==============================] - 0s 958us/step - loss: 0.5841
Epoch 50/50
77/77 [==============================] - 0s 933us/step - loss: 0.5856
###################################################################### Accuracy: 72.43816972398032
Epoch 1/100
76/76 [==============================] - 0s 980us/step - loss: 1.0151
Epoch 2/100
76/76 [==============================] - 0s 859us/step - loss: 0.9362
Epoch 3/100
76/76 [==============================] - 0s 879us/step - loss: 0.7356
Epoch 4/100
76/76 [==============================] - 0s 866us/step - loss: 0.6499
Epoch 5/100
76/76 [==============================] - 0s 840us/step - loss: 0.6336
Epoch 6/100
76/76 [==============================] - 0s 800us/step - loss: 0.6251
Epoch 7/100
76/76 [==============================] - 0s 853us/step - loss: 0.6182
Epoch 8/100
76/76 [==============================] - 0s 787us/step - loss: 0.6142
Epoch 9/100
76/76 [==============================] - 0s 814us/step - loss: 0.6080
Epoch 10/100
76/76 [==============================] - 0s 827us/step - loss: 0.6043
Epoch 11/100
76/76 [==============================] - 0s 827us/step - loss: 0.5980
Epoch 12/100
76/76 [==============================] - 0s 814us/step - loss: 0.5950
Epoch 13/100
76/76 [==============================] - 0s 800us/step - loss: 0.5937
Epoch 14/100
76/76 [==============================] - 0s 853us/step - loss: 0.5907
Epoch 15/100
76/76 [==============================] - 0s 879us/step - loss: 0.5878
Epoch 16/100
76/76 [==============================] - 0s 853us/step - loss: 0.5836
Epoch 17/100
76/76 [==============================] - 0s 840us/step - loss: 0.5824
Epoch 18/100
76/76 [==============================] - 0s 919us/step - loss: 0.5795
Epoch 19/100
76/76 [==============================] - 0s 905us/step - loss: 0.5759
Epoch 20/100
76/76 [==============================] - 0s 840us/step - loss: 0.5742
Epoch 21/100
76/76 [==============================] - 0s 892us/step - loss: 0.5721
Epoch 22/100
76/76 [==============================] - 0s 892us/step - loss: 0.5703
Epoch 23/100
76/76 [==============================] - 0s 892us/step - loss: 0.5686
Epoch 24/100
76/76 [==============================] - 0s 853us/step - loss: 0.5672
Epoch 25/100
76/76 [==============================] - 0s 853us/step - loss: 0.5680
Epoch 26/100
76/76 [==============================] - 0s 866us/step - loss: 0.5660
Epoch 27/100
76/76 [==============================] - 0s 840us/step - loss: 0.5658
Epoch 28/100
76/76 [==============================] - 0s 814us/step - loss: 0.5619
Epoch 29/100
76/76 [==============================] - 0s 853us/step - loss: 0.5621
Epoch 30/100
76/76 [==============================] - 0s 827us/step - loss: 0.5606
Epoch 31/100
76/76 [==============================] - 0s 1ms/step - loss: 0.5597
Epoch 32/100
76/76 [==============================] - 0s 814us/step - loss: 0.5586
Epoch 33/100
76/76 [==============================] - 0s 814us/step - loss: 0.5575
Epoch 34/100
76/76 [==============================] - 0s 905us/step - loss: 0.5554
Epoch 35/100
76/76 [==============================] - 0s 945us/step - loss: 0.5560
Epoch 36/100
76/76 [==============================] - 0s 932us/step - loss: 0.5555
Epoch 37/100
76/76 [==============================] - 0s 892us/step - loss: 0.5555
Epoch 38/100
76/76 [==============================] - 0s 892us/step - loss: 0.5533
Epoch 39/100
76/76 [==============================] - 0s 892us/step - loss: 0.5534
Epoch 40/100
76/76 [==============================] - 0s 866us/step - loss: 0.5527
Epoch 41/100
76/76 [==============================] - 0s 866us/step - loss: 0.5543
Epoch 42/100
76/76 [==============================] - 0s 840us/step - loss: 0.5517
Epoch 43/100
76/76 [==============================] - 0s 866us/step - loss: 0.5520
Epoch 44/100
76/76 [==============================] - 0s 879us/step - loss: 0.5500
Epoch 45/100
76/76 [==============================] - 0s 840us/step - loss: 0.5497
Epoch 46/100
76/76 [==============================] - 0s 853us/step - loss: 0.5491
Epoch 47/100
76/76 [==============================] - 0s 814us/step - loss: 0.5476
Epoch 48/100
76/76 [==============================] - 0s 840us/step - loss: 0.5487
Epoch 49/100
76/76 [==============================] - 0s 801us/step - loss: 0.5481
Epoch 50/100
76/76 [==============================] - 0s 827us/step - loss: 0.5464
Epoch 51/100
76/76 [==============================] - 0s 827us/step - loss: 0.5469
Epoch 52/100
76/76 [==============================] - 0s 787us/step - loss: 0.5452
Epoch 53/100
76/76 [==============================] - 0s 840us/step - loss: 0.5454
Epoch 54/100
76/76 [==============================] - 0s 814us/step - loss: 0.5449
Epoch 55/100
76/76 [==============================] - 0s 800us/step - loss: 0.5434
Epoch 56/100
76/76 [==============================] - 0s 787us/step - loss: 0.5445
Epoch 57/100
76/76 [==============================] - 0s 827us/step - loss: 0.5441
Epoch 58/100
76/76 [==============================] - 0s 840us/step - loss: 0.5436
Epoch 59/100
76/76 [==============================] - 0s 787us/step - loss: 0.5434
Epoch 60/100
76/76 [==============================] - 0s 814us/step - loss: 0.5424
Epoch 61/100
76/76 [==============================] - 0s 827us/step - loss: 0.5422
Epoch 62/100
76/76 [==============================] - 0s 827us/step - loss: 0.5418
Epoch 63/100
76/76 [==============================] - 0s 840us/step - loss: 0.5414
Epoch 64/100
76/76 [==============================] - 0s 866us/step - loss: 0.5410
Epoch 65/100
76/76 [==============================] - 0s 997us/step - loss: 0.5406
Epoch 66/100
76/76 [==============================] - 0s 958us/step - loss: 0.5406
Epoch 67/100
76/76 [==============================] - 0s 919us/step - loss: 0.5400
Epoch 68/100
76/76 [==============================] - 0s 866us/step - loss: 0.5405
Epoch 69/100
76/76 [==============================] - 0s 840us/step - loss: 0.5401
Epoch 70/100
76/76 [==============================] - 0s 827us/step - loss: 0.5420
Epoch 71/100
76/76 [==============================] - 0s 853us/step - loss: 0.5401
Epoch 72/100
76/76 [==============================] - 0s 853us/step - loss: 0.5381
Epoch 73/100
76/76 [==============================] - 0s 866us/step - loss: 0.5390
Epoch 74/100
76/76 [==============================] - 0s 919us/step - loss: 0.5361
Epoch 75/100
76/76 [==============================] - 0s 971us/step - loss: 0.5375
Epoch 76/100
76/76 [==============================] - 0s 945us/step - loss: 0.5358
Epoch 77/100
76/76 [==============================] - 0s 840us/step - loss: 0.5376
Epoch 78/100
76/76 [==============================] - 0s 853us/step - loss: 0.5350
Epoch 79/100
76/76 [==============================] - 0s 827us/step - loss: 0.5349
Epoch 80/100
76/76 [==============================] - 0s 905us/step - loss: 0.5350
Epoch 81/100
76/76 [==============================] - 0s 879us/step - loss: 0.5335
Epoch 82/100
76/76 [==============================] - 0s 892us/step - loss: 0.5342
Epoch 83/100
76/76 [==============================] - 0s 945us/step - loss: 0.5345
Epoch 84/100
76/76 [==============================] - 0s 932us/step - loss: 0.5334
Epoch 85/100
76/76 [==============================] - 0s 945us/step - loss: 0.5319
Epoch 86/100
76/76 [==============================] - 0s 945us/step - loss: 0.5315
Epoch 87/100
76/76 [==============================] - 0s 945us/step - loss: 0.5339
Epoch 88/100
76/76 [==============================] - 0s 892us/step - loss: 0.5309
Epoch 89/100
76/76 [==============================] - 0s 919us/step - loss: 0.5300
Epoch 90/100
76/76 [==============================] - 0s 945us/step - loss: 0.5302
Epoch 91/100
76/76 [==============================] - 0s 945us/step - loss: 0.5301
Epoch 92/100
76/76 [==============================] - 0s 840us/step - loss: 0.5275
Epoch 93/100
76/76 [==============================] - 0s 919us/step - loss: 0.5303
Epoch 94/100
76/76 [==============================] - 0s 827us/step - loss: 0.5310
Epoch 95/100
76/76 [==============================] - 0s 879us/step - loss: 0.5274
Epoch 96/100
76/76 [==============================] - 0s 905us/step - loss: 0.5276
Epoch 97/100
76/76 [==============================] - 0s 919us/step - loss: 0.5269
Epoch 98/100
76/76 [==============================] - 0s 919us/step - loss: 0.5274
Epoch 99/100
76/76 [==============================] - 0s 971us/step - loss: 0.5259
Epoch 100/100
76/76 [==============================] - 0s 932us/step - loss: 0.5249
###################################################################### Accuracy: 72.76853303498396
Epoch 1/100
77/77 [==============================] - 0s 907us/step - loss: 0.9804
Epoch 2/100
77/77 [==============================] - 0s 842us/step - loss: 0.8970
Epoch 3/100
77/77 [==============================] - 0s 829us/step - loss: 0.7351
Epoch 4/100
77/77 [==============================] - 0s 868us/step - loss: 0.6613
Epoch 5/100
77/77 [==============================] - 0s 868us/step - loss: 0.6412
Epoch 6/100
77/77 [==============================] - 0s 868us/step - loss: 0.6324
Epoch 7/100
77/77 [==============================] - 0s 829us/step - loss: 0.6264
Epoch 8/100
77/77 [==============================] - 0s 855us/step - loss: 0.6210
Epoch 9/100
77/77 [==============================] - 0s 855us/step - loss: 0.6162
Epoch 10/100
77/77 [==============================] - 0s 803us/step - loss: 0.6122
Epoch 11/100
77/77 [==============================] - 0s 816us/step - loss: 0.6073
Epoch 12/100
77/77 [==============================] - 0s 868us/step - loss: 0.6012
Epoch 13/100
77/77 [==============================] - 0s 842us/step - loss: 0.5973
Epoch 14/100
77/77 [==============================] - 0s 868us/step - loss: 0.5936
Epoch 15/100
77/77 [==============================] - 0s 855us/step - loss: 0.5911
Epoch 16/100
77/77 [==============================] - 0s 842us/step - loss: 0.5889
Epoch 17/100
77/77 [==============================] - 0s 790us/step - loss: 0.5873
Epoch 18/100
77/77 [==============================] - 0s 803us/step - loss: 0.5837
Epoch 19/100
77/77 [==============================] - 0s 842us/step - loss: 0.5827
Epoch 20/100
77/77 [==============================] - 0s 855us/step - loss: 0.5822
Epoch 21/100
77/77 [==============================] - 0s 855us/step - loss: 0.5793
Epoch 22/100
77/77 [==============================] - 0s 842us/step - loss: 0.5776
Epoch 23/100
77/77 [==============================] - 0s 842us/step - loss: 0.5759
Epoch 24/100
77/77 [==============================] - 0s 803us/step - loss: 0.5752
Epoch 25/100
77/77 [==============================] - 0s 868us/step - loss: 0.5741
Epoch 26/100
77/77 [==============================] - 0s 855us/step - loss: 0.5735
Epoch 27/100
77/77 [==============================] - 0s 842us/step - loss: 0.5736
Epoch 28/100
77/77 [==============================] - 0s 829us/step - loss: 0.5702
Epoch 29/100
77/77 [==============================] - 0s 816us/step - loss: 0.5687
Epoch 30/100
77/77 [==============================] - 0s 881us/step - loss: 0.5678
Epoch 31/100
77/77 [==============================] - 0s 842us/step - loss: 0.5693
Epoch 32/100
77/77 [==============================] - 0s 803us/step - loss: 0.5676
Epoch 33/100
77/77 [==============================] - 0s 842us/step - loss: 0.5666
Epoch 34/100
77/77 [==============================] - 0s 894us/step - loss: 0.5654
Epoch 35/100
77/77 [==============================] - 0s 829us/step - loss: 0.5641
Epoch 36/100
77/77 [==============================] - 0s 868us/step - loss: 0.5622
Epoch 37/100
77/77 [==============================] - 0s 829us/step - loss: 0.5629
Epoch 38/100
77/77 [==============================] - 0s 920us/step - loss: 0.5611
Epoch 39/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5611
Epoch 40/100
77/77 [==============================] - 0s 907us/step - loss: 0.5616
Epoch 41/100
77/77 [==============================] - 0s 933us/step - loss: 0.5603
Epoch 42/100
77/77 [==============================] - 0s 855us/step - loss: 0.5603
Epoch 43/100
77/77 [==============================] - 0s 829us/step - loss: 0.5603
Epoch 44/100
77/77 [==============================] - 0s 855us/step - loss: 0.5590
Epoch 45/100
77/77 [==============================] - 0s 855us/step - loss: 0.5585
Epoch 46/100
77/77 [==============================] - 0s 842us/step - loss: 0.5552
Epoch 47/100
77/77 [==============================] - 0s 868us/step - loss: 0.5558
Epoch 48/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5549
Epoch 49/100
77/77 [==============================] - 0s 946us/step - loss: 0.5545
Epoch 50/100
77/77 [==============================] - 0s 984us/step - loss: 0.5542
Epoch 51/100
77/77 [==============================] - 0s 881us/step - loss: 0.5543
Epoch 52/100
77/77 [==============================] - 0s 933us/step - loss: 0.5551
Epoch 53/100
77/77 [==============================] - 0s 946us/step - loss: 0.5541
Epoch 54/100
77/77 [==============================] - 0s 946us/step - loss: 0.5527
Epoch 55/100
77/77 [==============================] - 0s 984us/step - loss: 0.5561
Epoch 56/100
77/77 [==============================] - 0s 946us/step - loss: 0.5536
Epoch 57/100
77/77 [==============================] - 0s 907us/step - loss: 0.5493
Epoch 58/100
77/77 [==============================] - 0s 971us/step - loss: 0.5520
Epoch 59/100
77/77 [==============================] - 0s 958us/step - loss: 0.5505
Epoch 60/100
77/77 [==============================] - 0s 933us/step - loss: 0.5487
Epoch 61/100
77/77 [==============================] - 0s 946us/step - loss: 0.5489
Epoch 62/100
77/77 [==============================] - 0s 894us/step - loss: 0.5482
Epoch 63/100
77/77 [==============================] - 0s 842us/step - loss: 0.5477
Epoch 64/100
77/77 [==============================] - 0s 842us/step - loss: 0.5485
Epoch 65/100
77/77 [==============================] - 0s 855us/step - loss: 0.5470
Epoch 66/100
77/77 [==============================] - 0s 842us/step - loss: 0.5469
Epoch 67/100
77/77 [==============================] - 0s 868us/step - loss: 0.5456
Epoch 68/100
77/77 [==============================] - 0s 829us/step - loss: 0.5438
Epoch 69/100
77/77 [==============================] - 0s 868us/step - loss: 0.5438
Epoch 70/100
77/77 [==============================] - 0s 829us/step - loss: 0.5450
Epoch 71/100
77/77 [==============================] - 0s 868us/step - loss: 0.5434
Epoch 72/100
77/77 [==============================] - 0s 816us/step - loss: 0.5439
Epoch 73/100
77/77 [==============================] - 0s 855us/step - loss: 0.5424
Epoch 74/100
77/77 [==============================] - 0s 829us/step - loss: 0.5411
Epoch 75/100
77/77 [==============================] - 0s 894us/step - loss: 0.5429
Epoch 76/100
77/77 [==============================] - 0s 920us/step - loss: 0.5413
Epoch 77/100
77/77 [==============================] - 0s 984us/step - loss: 0.5411
Epoch 78/100
77/77 [==============================] - 0s 907us/step - loss: 0.5398
Epoch 79/100
77/77 [==============================] - 0s 920us/step - loss: 0.5386
Epoch 80/100
77/77 [==============================] - 0s 946us/step - loss: 0.5391
Epoch 81/100
77/77 [==============================] - 0s 920us/step - loss: 0.5390
Epoch 82/100
77/77 [==============================] - 0s 855us/step - loss: 0.5381
Epoch 83/100
77/77 [==============================] - 0s 855us/step - loss: 0.5377
Epoch 84/100
77/77 [==============================] - 0s 894us/step - loss: 0.5369
Epoch 85/100
77/77 [==============================] - 0s 958us/step - loss: 0.5363
Epoch 86/100
77/77 [==============================] - 0s 958us/step - loss: 0.5356
Epoch 87/100
77/77 [==============================] - 0s 971us/step - loss: 0.5347
Epoch 88/100
77/77 [==============================] - 0s 958us/step - loss: 0.5353
Epoch 89/100
77/77 [==============================] - 0s 933us/step - loss: 0.5359
Epoch 90/100
77/77 [==============================] - 0s 933us/step - loss: 0.5379
Epoch 91/100
77/77 [==============================] - 0s 971us/step - loss: 0.5342
Epoch 92/100
77/77 [==============================] - 0s 984us/step - loss: 0.5325
Epoch 93/100
77/77 [==============================] - 0s 920us/step - loss: 0.5334
Epoch 94/100
77/77 [==============================] - 0s 881us/step - loss: 0.5326
Epoch 95/100
77/77 [==============================] - 0s 881us/step - loss: 0.5349
Epoch 96/100
77/77 [==============================] - 0s 894us/step - loss: 0.5337
Epoch 97/100
77/77 [==============================] - 0s 881us/step - loss: 0.5325
Epoch 98/100
77/77 [==============================] - 0s 881us/step - loss: 0.5306
Epoch 99/100
77/77 [==============================] - 0s 933us/step - loss: 0.5310
Epoch 100/100
77/77 [==============================] - 0s 920us/step - loss: 0.5317
###################################################################### Accuracy: 71.16671222066292
Epoch 1/100
77/77 [==============================] - 0s 1ms/step - loss: 0.9710
Epoch 2/100
77/77 [==============================] - 0s 907us/step - loss: 0.8870
Epoch 3/100
77/77 [==============================] - 0s 881us/step - loss: 0.7107
Epoch 4/100
77/77 [==============================] - 0s 907us/step - loss: 0.6372
Epoch 5/100
77/77 [==============================] - 0s 881us/step - loss: 0.6259
Epoch 6/100
77/77 [==============================] - 0s 907us/step - loss: 0.6157
Epoch 7/100
77/77 [==============================] - 0s 907us/step - loss: 0.6119
Epoch 8/100
77/77 [==============================] - 0s 933us/step - loss: 0.6058
Epoch 9/100
77/77 [==============================] - 0s 933us/step - loss: 0.6024
Epoch 10/100
77/77 [==============================] - 0s 946us/step - loss: 0.5969
Epoch 11/100
77/77 [==============================] - 0s 984us/step - loss: 0.5954
Epoch 12/100
77/77 [==============================] - 0s 984us/step - loss: 0.5915
Epoch 13/100
77/77 [==============================] - 0s 958us/step - loss: 0.5909
Epoch 14/100
77/77 [==============================] - 0s 971us/step - loss: 0.5898
Epoch 15/100
77/77 [==============================] - ETA: 0s - loss: 0.587 - 0s 946us/step - loss: 0.5863
Epoch 16/100
77/77 [==============================] - 0s 868us/step - loss: 0.5832
Epoch 17/100
77/77 [==============================] - 0s 933us/step - loss: 0.5816
Epoch 18/100
77/77 [==============================] - 0s 881us/step - loss: 0.5798
Epoch 19/100
77/77 [==============================] - 0s 829us/step - loss: 0.5758
Epoch 20/100
77/77 [==============================] - 0s 829us/step - loss: 0.5759
Epoch 21/100
77/77 [==============================] - 0s 868us/step - loss: 0.5739
Epoch 22/100
77/77 [==============================] - 0s 829us/step - loss: 0.5725
Epoch 23/100
77/77 [==============================] - 0s 855us/step - loss: 0.5716
Epoch 24/100
77/77 [==============================] - 0s 868us/step - loss: 0.5710
Epoch 25/100
77/77 [==============================] - 0s 842us/step - loss: 0.5692
Epoch 26/100
77/77 [==============================] - 0s 868us/step - loss: 0.5671
Epoch 27/100
77/77 [==============================] - 0s 868us/step - loss: 0.5675
Epoch 28/100
77/77 [==============================] - 0s 894us/step - loss: 0.5645
Epoch 29/100
77/77 [==============================] - 0s 933us/step - loss: 0.5643
Epoch 30/100
77/77 [==============================] - 0s 907us/step - loss: 0.5624
Epoch 31/100
77/77 [==============================] - 0s 842us/step - loss: 0.5627
Epoch 32/100
77/77 [==============================] - 0s 855us/step - loss: 0.5623
Epoch 33/100
77/77 [==============================] - 0s 894us/step - loss: 0.5606
Epoch 34/100
77/77 [==============================] - 0s 933us/step - loss: 0.5591
Epoch 35/100
77/77 [==============================] - 0s 971us/step - loss: 0.5567
Epoch 36/100
77/77 [==============================] - 0s 894us/step - loss: 0.5585
Epoch 37/100
77/77 [==============================] - 0s 933us/step - loss: 0.5569
Epoch 38/100
77/77 [==============================] - 0s 933us/step - loss: 0.5564
Epoch 39/100
77/77 [==============================] - 0s 997us/step - loss: 0.5537
Epoch 40/100
77/77 [==============================] - 0s 920us/step - loss: 0.5543
Epoch 41/100
77/77 [==============================] - 0s 907us/step - loss: 0.5540
Epoch 42/100
77/77 [==============================] - 0s 933us/step - loss: 0.5532
Epoch 43/100
77/77 [==============================] - 0s 958us/step - loss: 0.5513
Epoch 44/100
77/77 [==============================] - 0s 997us/step - loss: 0.5498
Epoch 45/100
77/77 [==============================] - 0s 920us/step - loss: 0.5509
Epoch 46/100
77/77 [==============================] - 0s 958us/step - loss: 0.5495
Epoch 47/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5478
Epoch 48/100
77/77 [==============================] - 0s 958us/step - loss: 0.5507
Epoch 49/100
77/77 [==============================] - 0s 971us/step - loss: 0.5508
Epoch 50/100
77/77 [==============================] - 0s 984us/step - loss: 0.5499
Epoch 51/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5443
Epoch 52/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5426
Epoch 53/100
77/77 [==============================] - 0s 997us/step - loss: 0.5414
Epoch 54/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5424
Epoch 55/100
77/77 [==============================] - 0s 984us/step - loss: 0.5443
Epoch 56/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5393
Epoch 57/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5408
Epoch 58/100
77/77 [==============================] - 0s 971us/step - loss: 0.5402
Epoch 59/100
77/77 [==============================] - 0s 920us/step - loss: 0.5367
Epoch 60/100
77/77 [==============================] - 0s 855us/step - loss: 0.5369
Epoch 61/100
77/77 [==============================] - 0s 855us/step - loss: 0.5358
Epoch 62/100
77/77 [==============================] - 0s 868us/step - loss: 0.5347
Epoch 63/100
77/77 [==============================] - 0s 868us/step - loss: 0.5370
Epoch 64/100
77/77 [==============================] - 0s 842us/step - loss: 0.5351
Epoch 65/100
77/77 [==============================] - 0s 842us/step - loss: 0.5339
Epoch 66/100
77/77 [==============================] - 0s 829us/step - loss: 0.5349
Epoch 67/100
77/77 [==============================] - 0s 881us/step - loss: 0.5328
Epoch 68/100
77/77 [==============================] - 0s 803us/step - loss: 0.5320
Epoch 69/100
77/77 [==============================] - 0s 894us/step - loss: 0.5330
Epoch 70/100
77/77 [==============================] - 0s 829us/step - loss: 0.5325
Epoch 71/100
77/77 [==============================] - 0s 855us/step - loss: 0.5294
Epoch 72/100
77/77 [==============================] - 0s 829us/step - loss: 0.5303
Epoch 73/100
77/77 [==============================] - 0s 855us/step - loss: 0.5301
Epoch 74/100
77/77 [==============================] - 0s 842us/step - loss: 0.5280
Epoch 75/100
77/77 [==============================] - 0s 855us/step - loss: 0.5311
Epoch 76/100
77/77 [==============================] - 0s 855us/step - loss: 0.5285
Epoch 77/100
77/77 [==============================] - 0s 842us/step - loss: 0.5314
Epoch 78/100
77/77 [==============================] - 0s 842us/step - loss: 0.5280
Epoch 79/100
77/77 [==============================] - 0s 855us/step - loss: 0.5296
Epoch 80/100
77/77 [==============================] - 0s 816us/step - loss: 0.5291
Epoch 81/100
77/77 [==============================] - 0s 855us/step - loss: 0.5256
Epoch 82/100
77/77 [==============================] - 0s 855us/step - loss: 0.5272
Epoch 83/100
77/77 [==============================] - 0s 855us/step - loss: 0.5264
Epoch 84/100
77/77 [==============================] - 0s 894us/step - loss: 0.5267
Epoch 85/100
77/77 [==============================] - 0s 984us/step - loss: 0.5248
Epoch 86/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5232
Epoch 87/100
77/77 [==============================] - 0s 958us/step - loss: 0.5228
Epoch 88/100
77/77 [==============================] - 0s 958us/step - loss: 0.5247
Epoch 89/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5221
Epoch 90/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5226
Epoch 91/100
77/77 [==============================] - 0s 997us/step - loss: 0.5207
Epoch 92/100
77/77 [==============================] - 0s 984us/step - loss: 0.5202
Epoch 93/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5184
Epoch 94/100
77/77 [==============================] - 0s 997us/step - loss: 0.5211
Epoch 95/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5186
Epoch 96/100
77/77 [==============================] - 0s 984us/step - loss: 0.5184
Epoch 97/100
77/77 [==============================] - 0s 907us/step - loss: 0.5170
Epoch 98/100
77/77 [==============================] - 0s 920us/step - loss: 0.5146
Epoch 99/100
77/77 [==============================] - 0s 894us/step - loss: 0.5185
Epoch 100/100
77/77 [==============================] - 0s 868us/step - loss: 0.5143
###################################################################### Accuracy: 83.2146311784119
Epoch 1/100
77/77 [==============================] - 0s 1ms/step - loss: 1.0130
Epoch 2/100
77/77 [==============================] - 0s 907us/step - loss: 0.9301
Epoch 3/100
77/77 [==============================] - 0s 1ms/step - loss: 0.7232
Epoch 4/100
77/77 [==============================] - 0s 1ms/step - loss: 0.6582
Epoch 5/100
77/77 [==============================] - 0s 958us/step - loss: 0.6497
Epoch 6/100
77/77 [==============================] - 0s 958us/step - loss: 0.6447
Epoch 7/100
77/77 [==============================] - 0s 958us/step - loss: 0.6420
Epoch 8/100
77/77 [==============================] - 0s 907us/step - loss: 0.6387
Epoch 9/100
77/77 [==============================] - 0s 971us/step - loss: 0.6355
Epoch 10/100
77/77 [==============================] - 0s 1ms/step - loss: 0.6323
Epoch 11/100
77/77 [==============================] - 0s 1ms/step - loss: 0.6304
Epoch 12/100
77/77 [==============================] - 0s 1ms/step - loss: 0.6289
Epoch 13/100
77/77 [==============================] - 0s 1ms/step - loss: 0.6264
Epoch 14/100
77/77 [==============================] - 0s 1ms/step - loss: 0.6231
Epoch 15/100
77/77 [==============================] - 0s 1ms/step - loss: 0.6220
Epoch 16/100
77/77 [==============================] - 0s 997us/step - loss: 0.6219
Epoch 17/100
77/77 [==============================] - 0s 881us/step - loss: 0.6171
Epoch 18/100
77/77 [==============================] - 0s 946us/step - loss: 0.6170
Epoch 19/100
77/77 [==============================] - 0s 868us/step - loss: 0.6167
Epoch 20/100
77/77 [==============================] - 0s 984us/step - loss: 0.6130
Epoch 21/100
77/77 [==============================] - 0s 984us/step - loss: 0.6122
Epoch 22/100
77/77 [==============================] - 0s 971us/step - loss: 0.6098
Epoch 23/100
77/77 [==============================] - 0s 868us/step - loss: 0.6081
Epoch 24/100
77/77 [==============================] - 0s 958us/step - loss: 0.6101
Epoch 25/100
77/77 [==============================] - 0s 881us/step - loss: 0.6087
Epoch 26/100
77/77 [==============================] - 0s 984us/step - loss: 0.6065
Epoch 27/100
77/77 [==============================] - 0s 971us/step - loss: 0.6033
Epoch 28/100
77/77 [==============================] - 0s 958us/step - loss: 0.6039
Epoch 29/100
77/77 [==============================] - 0s 933us/step - loss: 0.6011
Epoch 30/100
77/77 [==============================] - 0s 894us/step - loss: 0.6011
Epoch 31/100
77/77 [==============================] - 0s 958us/step - loss: 0.6002
Epoch 32/100
77/77 [==============================] - 0s 907us/step - loss: 0.5994
Epoch 33/100
77/77 [==============================] - 0s 946us/step - loss: 0.5968
Epoch 34/100
77/77 [==============================] - 0s 855us/step - loss: 0.5949
Epoch 35/100
77/77 [==============================] - 0s 907us/step - loss: 0.5944
Epoch 36/100
77/77 [==============================] - 0s 842us/step - loss: 0.5932
Epoch 37/100
77/77 [==============================] - 0s 868us/step - loss: 0.5955
Epoch 38/100
77/77 [==============================] - 0s 920us/step - loss: 0.5922
Epoch 39/100
77/77 [==============================] - 0s 946us/step - loss: 0.5932
Epoch 40/100
77/77 [==============================] - 0s 933us/step - loss: 0.5908
Epoch 41/100
77/77 [==============================] - 0s 946us/step - loss: 0.5915
Epoch 42/100
77/77 [==============================] - 0s 894us/step - loss: 0.5930
Epoch 43/100
77/77 [==============================] - 0s 907us/step - loss: 0.5901
Epoch 44/100
77/77 [==============================] - 0s 971us/step - loss: 0.5876
Epoch 45/100
77/77 [==============================] - 0s 946us/step - loss: 0.5864
Epoch 46/100
77/77 [==============================] - 0s 997us/step - loss: 0.5858
Epoch 47/100
77/77 [==============================] - 0s 894us/step - loss: 0.5844
Epoch 48/100
77/77 [==============================] - 0s 894us/step - loss: 0.5883
Epoch 49/100
77/77 [==============================] - 0s 933us/step - loss: 0.5846
Epoch 50/100
77/77 [==============================] - 0s 958us/step - loss: 0.5834
Epoch 51/100
77/77 [==============================] - 0s 958us/step - loss: 0.5834
Epoch 52/100
77/77 [==============================] - 0s 997us/step - loss: 0.5837
Epoch 53/100
77/77 [==============================] - 0s 920us/step - loss: 0.5840
Epoch 54/100
77/77 [==============================] - 0s 907us/step - loss: 0.5807
Epoch 55/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5813
Epoch 56/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5787
Epoch 57/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5784
Epoch 58/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5764
Epoch 59/100
77/77 [==============================] - 0s 907us/step - loss: 0.5810
Epoch 60/100
77/77 [==============================] - 0s 894us/step - loss: 0.5787
Epoch 61/100
77/77 [==============================] - 0s 997us/step - loss: 0.5756
Epoch 62/100
77/77 [==============================] - 0s 855us/step - loss: 0.5735
Epoch 63/100
77/77 [==============================] - 0s 984us/step - loss: 0.5725
Epoch 64/100
77/77 [==============================] - 0s 997us/step - loss: 0.5743
Epoch 65/100
77/77 [==============================] - 0s 958us/step - loss: 0.5706
Epoch 66/100
77/77 [==============================] - 0s 933us/step - loss: 0.5714
Epoch 67/100
77/77 [==============================] - 0s 971us/step - loss: 0.5700
Epoch 68/100
77/77 [==============================] - 0s 958us/step - loss: 0.5711
Epoch 69/100
77/77 [==============================] - 0s 933us/step - loss: 0.5690
Epoch 70/100
77/77 [==============================] - 0s 933us/step - loss: 0.5661
Epoch 71/100
77/77 [==============================] - 0s 984us/step - loss: 0.5681
Epoch 72/100
77/77 [==============================] - 0s 868us/step - loss: 0.5655
Epoch 73/100
77/77 [==============================] - 0s 907us/step - loss: 0.5665
Epoch 74/100
77/77 [==============================] - 0s 894us/step - loss: 0.5670
Epoch 75/100
77/77 [==============================] - 0s 920us/step - loss: 0.5664
Epoch 76/100
77/77 [==============================] - 0s 984us/step - loss: 0.5645
Epoch 77/100
77/77 [==============================] - 0s 920us/step - loss: 0.5638
Epoch 78/100
77/77 [==============================] - 0s 933us/step - loss: 0.5615
Epoch 79/100
77/77 [==============================] - 0s 946us/step - loss: 0.5634
Epoch 80/100
77/77 [==============================] - 0s 881us/step - loss: 0.5644
Epoch 81/100
77/77 [==============================] - 0s 945us/step - loss: 0.5623
Epoch 82/100
77/77 [==============================] - 0s 920us/step - loss: 0.5666
Epoch 83/100
77/77 [==============================] - 0s 958us/step - loss: 0.5605
Epoch 84/100
77/77 [==============================] - 0s 984us/step - loss: 0.5569
Epoch 85/100
77/77 [==============================] - 0s 920us/step - loss: 0.5595
Epoch 86/100
77/77 [==============================] - 0s 894us/step - loss: 0.5574
Epoch 87/100
77/77 [==============================] - 0s 920us/step - loss: 0.5582
Epoch 88/100
77/77 [==============================] - 0s 894us/step - loss: 0.5541
Epoch 89/100
77/77 [==============================] - 0s 907us/step - loss: 0.5550
Epoch 90/100
77/77 [==============================] - 0s 958us/step - loss: 0.5620
Epoch 91/100
77/77 [==============================] - 0s 946us/step - loss: 0.5565
Epoch 92/100
77/77 [==============================] - 0s 920us/step - loss: 0.5555
Epoch 93/100
77/77 [==============================] - 0s 971us/step - loss: 0.5552
Epoch 94/100
77/77 [==============================] - 0s 933us/step - loss: 0.5519
Epoch 95/100
77/77 [==============================] - 0s 907us/step - loss: 0.5566
Epoch 96/100
77/77 [==============================] - 0s 881us/step - loss: 0.5500
Epoch 97/100
77/77 [==============================] - 0s 997us/step - loss: 0.5495
Epoch 98/100
77/77 [==============================] - 0s 907us/step - loss: 0.5500
Epoch 99/100
77/77 [==============================] - 0s 868us/step - loss: 0.5510
Epoch 100/100
77/77 [==============================] - 0s 984us/step - loss: 0.5472
###################################################################### Accuracy: 73.05500369026586
Epoch 1/100
77/77 [==============================] - 0s 909us/step - loss: 1.0004
Epoch 2/100
77/77 [==============================] - 0s 894us/step - loss: 0.9475
Epoch 3/100
77/77 [==============================] - 0s 907us/step - loss: 0.7533
Epoch 4/100
77/77 [==============================] - 0s 997us/step - loss: 0.6498
Epoch 5/100
77/77 [==============================] - 0s 946us/step - loss: 0.6352
Epoch 6/100
77/77 [==============================] - 0s 997us/step - loss: 0.6274
Epoch 7/100
77/77 [==============================] - 0s 958us/step - loss: 0.6220
Epoch 8/100
77/77 [==============================] - 0s 920us/step - loss: 0.6175
Epoch 9/100
77/77 [==============================] - 0s 946us/step - loss: 0.6128
Epoch 10/100
77/77 [==============================] - 0s 958us/step - loss: 0.6093
Epoch 11/100
77/77 [==============================] - 0s 894us/step - loss: 0.6065
Epoch 12/100
77/77 [==============================] - 0s 933us/step - loss: 0.6036
Epoch 13/100
77/77 [==============================] - 0s 920us/step - loss: 0.5994
Epoch 14/100
77/77 [==============================] - 0s 958us/step - loss: 0.5997
Epoch 15/100
77/77 [==============================] - 0s 933us/step - loss: 0.5953
Epoch 16/100
77/77 [==============================] - 0s 868us/step - loss: 0.5943
Epoch 17/100
77/77 [==============================] - 0s 894us/step - loss: 0.5923
Epoch 18/100
77/77 [==============================] - 0s 868us/step - loss: 0.5900
Epoch 19/100
77/77 [==============================] - 0s 881us/step - loss: 0.5887
Epoch 20/100
77/77 [==============================] - 0s 868us/step - loss: 0.5867
Epoch 21/100
77/77 [==============================] - 0s 894us/step - loss: 0.5866
Epoch 22/100
77/77 [==============================] - 0s 868us/step - loss: 0.5859
Epoch 23/100
77/77 [==============================] - 0s 855us/step - loss: 0.5825
Epoch 24/100
77/77 [==============================] - 0s 855us/step - loss: 0.5813
Epoch 25/100
77/77 [==============================] - 0s 855us/step - loss: 0.5824
Epoch 26/100
77/77 [==============================] - 0s 868us/step - loss: 0.5807
Epoch 27/100
77/77 [==============================] - 0s 868us/step - loss: 0.5774
Epoch 28/100
77/77 [==============================] - 0s 907us/step - loss: 0.5762
Epoch 29/100
77/77 [==============================] - 0s 881us/step - loss: 0.5768
Epoch 30/100
77/77 [==============================] - 0s 855us/step - loss: 0.5755
Epoch 31/100
77/77 [==============================] - 0s 842us/step - loss: 0.5766
Epoch 32/100
77/77 [==============================] - 0s 842us/step - loss: 0.5771
Epoch 33/100
77/77 [==============================] - 0s 855us/step - loss: 0.5743
Epoch 34/100
77/77 [==============================] - 0s 868us/step - loss: 0.5722
Epoch 35/100
77/77 [==============================] - 0s 842us/step - loss: 0.5745
Epoch 36/100
77/77 [==============================] - 0s 855us/step - loss: 0.5705
Epoch 37/100
77/77 [==============================] - 0s 803us/step - loss: 0.5702
Epoch 38/100
77/77 [==============================] - 0s 842us/step - loss: 0.5707
Epoch 39/100
77/77 [==============================] - 0s 842us/step - loss: 0.5693
Epoch 40/100
77/77 [==============================] - 0s 855us/step - loss: 0.5676
Epoch 41/100
77/77 [==============================] - 0s 816us/step - loss: 0.5694
Epoch 42/100
77/77 [==============================] - 0s 816us/step - loss: 0.5675
Epoch 43/100
77/77 [==============================] - 0s 907us/step - loss: 0.5671
Epoch 44/100
77/77 [==============================] - 0s 881us/step - loss: 0.5662
Epoch 45/100
77/77 [==============================] - 0s 868us/step - loss: 0.5659
Epoch 46/100
77/77 [==============================] - 0s 842us/step - loss: 0.5657
Epoch 47/100
77/77 [==============================] - 0s 855us/step - loss: 0.5641
Epoch 48/100
77/77 [==============================] - 0s 829us/step - loss: 0.5636
Epoch 49/100
77/77 [==============================] - 0s 855us/step - loss: 0.5628
Epoch 50/100
77/77 [==============================] - 0s 881us/step - loss: 0.5628
Epoch 51/100
77/77 [==============================] - 0s 920us/step - loss: 0.5619
Epoch 52/100
77/77 [==============================] - 0s 842us/step - loss: 0.5611
Epoch 53/100
77/77 [==============================] - 0s 829us/step - loss: 0.5613
Epoch 54/100
77/77 [==============================] - 0s 842us/step - loss: 0.5602
Epoch 55/100
77/77 [==============================] - 0s 829us/step - loss: 0.5590
Epoch 56/100
77/77 [==============================] - 0s 842us/step - loss: 0.5616
Epoch 57/100
77/77 [==============================] - 0s 855us/step - loss: 0.5612
Epoch 58/100
77/77 [==============================] - 0s 855us/step - loss: 0.5586
Epoch 59/100
77/77 [==============================] - 0s 829us/step - loss: 0.5577
Epoch 60/100
77/77 [==============================] - 0s 855us/step - loss: 0.5592
Epoch 61/100
77/77 [==============================] - 0s 881us/step - loss: 0.5563
Epoch 62/100
77/77 [==============================] - 0s 842us/step - loss: 0.5557
Epoch 63/100
77/77 [==============================] - 0s 842us/step - loss: 0.5564
Epoch 64/100
77/77 [==============================] - 0s 829us/step - loss: 0.5553
Epoch 65/100
77/77 [==============================] - 0s 868us/step - loss: 0.5531
Epoch 66/100
77/77 [==============================] - 0s 829us/step - loss: 0.5536
Epoch 67/100
77/77 [==============================] - 0s 803us/step - loss: 0.5525
Epoch 68/100
77/77 [==============================] - 0s 920us/step - loss: 0.5515
Epoch 69/100
77/77 [==============================] - 0s 920us/step - loss: 0.5504
Epoch 70/100
77/77 [==============================] - 0s 842us/step - loss: 0.5487
Epoch 71/100
77/77 [==============================] - 0s 842us/step - loss: 0.5503
Epoch 72/100
77/77 [==============================] - 0s 829us/step - loss: 0.5489
Epoch 73/100
77/77 [==============================] - 0s 842us/step - loss: 0.5499
Epoch 74/100
77/77 [==============================] - 0s 881us/step - loss: 0.5469
Epoch 75/100
77/77 [==============================] - 0s 816us/step - loss: 0.5453
Epoch 76/100
77/77 [==============================] - 0s 816us/step - loss: 0.5472
Epoch 77/100
77/77 [==============================] - 0s 855us/step - loss: 0.5448
Epoch 78/100
77/77 [==============================] - 0s 842us/step - loss: 0.5431
Epoch 79/100
77/77 [==============================] - 0s 855us/step - loss: 0.5435
Epoch 80/100
77/77 [==============================] - 0s 842us/step - loss: 0.5448
Epoch 81/100
77/77 [==============================] - 0s 842us/step - loss: 0.5405
Epoch 82/100
77/77 [==============================] - 0s 842us/step - loss: 0.5407
Epoch 83/100
77/77 [==============================] - 0s 803us/step - loss: 0.5410
Epoch 84/100
77/77 [==============================] - 0s 868us/step - loss: 0.5417
Epoch 85/100
77/77 [==============================] - 0s 816us/step - loss: 0.5378
Epoch 86/100
77/77 [==============================] - 0s 816us/step - loss: 0.5398
Epoch 87/100
77/77 [==============================] - 0s 842us/step - loss: 0.5362
Epoch 88/100
77/77 [==============================] - 0s 842us/step - loss: 0.5352
Epoch 89/100
77/77 [==============================] - 0s 855us/step - loss: 0.5405
Epoch 90/100
77/77 [==============================] - 0s 868us/step - loss: 0.5382
Epoch 91/100
77/77 [==============================] - 0s 868us/step - loss: 0.5352
Epoch 92/100
77/77 [==============================] - 0s 829us/step - loss: 0.5347
Epoch 93/100
77/77 [==============================] - 0s 881us/step - loss: 0.5343
Epoch 94/100
77/77 [==============================] - 0s 842us/step - loss: 0.5348
Epoch 95/100
77/77 [==============================] - 0s 868us/step - loss: 0.5324
Epoch 96/100
77/77 [==============================] - 0s 855us/step - loss: 0.5320
Epoch 97/100
77/77 [==============================] - 0s 829us/step - loss: 0.5310
Epoch 98/100
77/77 [==============================] - 0s 894us/step - loss: 0.5305
Epoch 99/100
77/77 [==============================] - 0s 842us/step - loss: 0.5304
Epoch 100/100
77/77 [==============================] - 0s 855us/step - loss: 0.5287
###################################################################### Accuracy: 72.56861790294796
Epoch 1/150
76/76 [==============================] - 0s 923us/step - loss: 1.0101
Epoch 2/150
76/76 [==============================] - 0s 932us/step - loss: 0.9025
Epoch 3/150
76/76 [==============================] - 0s 853us/step - loss: 0.7070
Epoch 4/150
76/76 [==============================] - 0s 879us/step - loss: 0.6429
Epoch 5/150
76/76 [==============================] - 0s 892us/step - loss: 0.6330
Epoch 6/150
76/76 [==============================] - 0s 945us/step - loss: 0.6265
Epoch 7/150
76/76 [==============================] - 0s 866us/step - loss: 0.6217
Epoch 8/150
76/76 [==============================] - 0s 800us/step - loss: 0.6182
Epoch 9/150
76/76 [==============================] - 0s 866us/step - loss: 0.6132
Epoch 10/150
76/76 [==============================] - 0s 879us/step - loss: 0.6085
Epoch 11/150
76/76 [==============================] - 0s 1ms/step - loss: 0.6052
Epoch 12/150
76/76 [==============================] - 0s 919us/step - loss: 0.6022
Epoch 13/150
76/76 [==============================] - 0s 945us/step - loss: 0.5998
Epoch 14/150
76/76 [==============================] - 0s 840us/step - loss: 0.5973
Epoch 15/150
76/76 [==============================] - 0s 905us/step - loss: 0.5937
Epoch 16/150
76/76 [==============================] - 0s 879us/step - loss: 0.5911
Epoch 17/150
76/76 [==============================] - 0s 840us/step - loss: 0.5882
Epoch 18/150
76/76 [==============================] - 0s 840us/step - loss: 0.5894
Epoch 19/150
76/76 [==============================] - 0s 879us/step - loss: 0.5862
Epoch 20/150
76/76 [==============================] - 0s 853us/step - loss: 0.5837
Epoch 21/150
76/76 [==============================] - 0s 840us/step - loss: 0.5806
Epoch 22/150
76/76 [==============================] - 0s 919us/step - loss: 0.5793
Epoch 23/150
76/76 [==============================] - 0s 945us/step - loss: 0.5768
Epoch 24/150
76/76 [==============================] - 0s 905us/step - loss: 0.5752
Epoch 25/150
76/76 [==============================] - 0s 905us/step - loss: 0.5746
Epoch 26/150
76/76 [==============================] - 0s 919us/step - loss: 0.5736
Epoch 27/150
76/76 [==============================] - 0s 866us/step - loss: 0.5751
Epoch 28/150
76/76 [==============================] - 0s 919us/step - loss: 0.5713
Epoch 29/150
76/76 [==============================] - 0s 919us/step - loss: 0.5692
Epoch 30/150
76/76 [==============================] - 0s 971us/step - loss: 0.5702
Epoch 31/150
76/76 [==============================] - 0s 932us/step - loss: 0.5685
Epoch 32/150
76/76 [==============================] - 0s 866us/step - loss: 0.5671
Epoch 33/150
76/76 [==============================] - 0s 853us/step - loss: 0.5662
Epoch 34/150
76/76 [==============================] - 0s 919us/step - loss: 0.5662
Epoch 35/150
76/76 [==============================] - 0s 840us/step - loss: 0.5659
Epoch 36/150
76/76 [==============================] - 0s 853us/step - loss: 0.5656
Epoch 37/150
76/76 [==============================] - 0s 905us/step - loss: 0.5651
Epoch 38/150
76/76 [==============================] - 0s 853us/step - loss: 0.5636
Epoch 39/150
76/76 [==============================] - 0s 879us/step - loss: 0.5618
Epoch 40/150
76/76 [==============================] - 0s 892us/step - loss: 0.5622
Epoch 41/150
76/76 [==============================] - 0s 892us/step - loss: 0.5608
Epoch 42/150
76/76 [==============================] - 0s 866us/step - loss: 0.5588
Epoch 43/150
76/76 [==============================] - 0s 853us/step - loss: 0.5586
Epoch 44/150
76/76 [==============================] - 0s 814us/step - loss: 0.5588
Epoch 45/150
76/76 [==============================] - 0s 866us/step - loss: 0.5576
Epoch 46/150
76/76 [==============================] - 0s 840us/step - loss: 0.5574
Epoch 47/150
76/76 [==============================] - 0s 997us/step - loss: 0.5570
Epoch 48/150
76/76 [==============================] - 0s 919us/step - loss: 0.5576
Epoch 49/150
76/76 [==============================] - 0s 905us/step - loss: 0.5557
Epoch 50/150
76/76 [==============================] - 0s 919us/step - loss: 0.5568
Epoch 51/150
76/76 [==============================] - 0s 866us/step - loss: 0.5536
Epoch 52/150
76/76 [==============================] - 0s 932us/step - loss: 0.5523
Epoch 53/150
76/76 [==============================] - 0s 919us/step - loss: 0.5520
Epoch 54/150
76/76 [==============================] - 0s 840us/step - loss: 0.5510
Epoch 55/150
76/76 [==============================] - 0s 866us/step - loss: 0.5506
Epoch 56/150
76/76 [==============================] - 0s 866us/step - loss: 0.5544
Epoch 57/150
76/76 [==============================] - 0s 919us/step - loss: 0.5522
Epoch 58/150
76/76 [==============================] - 0s 932us/step - loss: 0.5493
Epoch 59/150
76/76 [==============================] - 0s 892us/step - loss: 0.5479
Epoch 60/150
76/76 [==============================] - 0s 879us/step - loss: 0.5483
Epoch 61/150
76/76 [==============================] - 0s 866us/step - loss: 0.5476
Epoch 62/150
76/76 [==============================] - 0s 932us/step - loss: 0.5464
Epoch 63/150
76/76 [==============================] - 0s 893us/step - loss: 0.5473
Epoch 64/150
76/76 [==============================] - 0s 932us/step - loss: 0.5455
Epoch 65/150
76/76 [==============================] - 0s 997us/step - loss: 0.5457
Epoch 66/150
76/76 [==============================] - 0s 892us/step - loss: 0.5452
Epoch 67/150
76/76 [==============================] - 0s 905us/step - loss: 0.5457
Epoch 68/150
76/76 [==============================] - 0s 840us/step - loss: 0.5447
Epoch 69/150
76/76 [==============================] - 0s 840us/step - loss: 0.5424
Epoch 70/150
76/76 [==============================] - 0s 879us/step - loss: 0.5427
Epoch 71/150
76/76 [==============================] - 0s 800us/step - loss: 0.5442
Epoch 72/150
76/76 [==============================] - 0s 827us/step - loss: 0.5416
Epoch 73/150
76/76 [==============================] - 0s 893us/step - loss: 0.5409
Epoch 74/150
76/76 [==============================] - 0s 905us/step - loss: 0.5415
Epoch 75/150
76/76 [==============================] - 0s 905us/step - loss: 0.5413
Epoch 76/150
76/76 [==============================] - 0s 801us/step - loss: 0.5402
Epoch 77/150
76/76 [==============================] - 0s 853us/step - loss: 0.5400
Epoch 78/150
76/76 [==============================] - 0s 853us/step - loss: 0.5401 0s - loss: 0.544
Epoch 79/150
76/76 [==============================] - 0s 827us/step - loss: 0.5392
Epoch 80/150
76/76 [==============================] - 0s 853us/step - loss: 0.5378
Epoch 81/150
76/76 [==============================] - 0s 827us/step - loss: 0.5351
Epoch 82/150
76/76 [==============================] - 0s 840us/step - loss: 0.5415
Epoch 83/150
76/76 [==============================] - 0s 853us/step - loss: 0.5362
Epoch 84/150
76/76 [==============================] - 0s 945us/step - loss: 0.5376
Epoch 85/150
76/76 [==============================] - 0s 1ms/step - loss: 0.5356
Epoch 86/150
76/76 [==============================] - 0s 827us/step - loss: 0.5341
Epoch 87/150
76/76 [==============================] - 0s 945us/step - loss: 0.5352
Epoch 88/150
76/76 [==============================] - 0s 945us/step - loss: 0.5355
Epoch 89/150
76/76 [==============================] - 0s 866us/step - loss: 0.5341
Epoch 90/150
76/76 [==============================] - 0s 866us/step - loss: 0.5325
Epoch 91/150
76/76 [==============================] - 0s 905us/step - loss: 0.5320
Epoch 92/150
76/76 [==============================] - 0s 853us/step - loss: 0.5330
Epoch 93/150
76/76 [==============================] - 0s 892us/step - loss: 0.5312
Epoch 94/150
76/76 [==============================] - 0s 905us/step - loss: 0.5306
Epoch 95/150
76/76 [==============================] - 0s 932us/step - loss: 0.5294
Epoch 96/150
76/76 [==============================] - 0s 1ms/step - loss: 0.5341
Epoch 97/150
76/76 [==============================] - 0s 2ms/step - loss: 0.5280
Epoch 98/150
76/76 [==============================] - 0s 1ms/step - loss: 0.5288
Epoch 99/150
76/76 [==============================] - 0s 1ms/step - loss: 0.5275
Epoch 100/150
76/76 [==============================] - 0s 932us/step - loss: 0.5275
Epoch 101/150
76/76 [==============================] - 0s 945us/step - loss: 0.5254
Epoch 102/150
76/76 [==============================] - 0s 971us/step - loss: 0.5269
Epoch 103/150
76/76 [==============================] - 0s 945us/step - loss: 0.5262
Epoch 104/150
76/76 [==============================] - 0s 1ms/step - loss: 0.5257
Epoch 105/150
76/76 [==============================] - 0s 892us/step - loss: 0.5247
Epoch 106/150
76/76 [==============================] - 0s 905us/step - loss: 0.5252
Epoch 107/150
76/76 [==============================] - 0s 932us/step - loss: 0.5243
Epoch 108/150
76/76 [==============================] - 0s 827us/step - loss: 0.5223
Epoch 109/150
76/76 [==============================] - 0s 905us/step - loss: 0.5236
Epoch 110/150
76/76 [==============================] - 0s 892us/step - loss: 0.5223
Epoch 111/150
76/76 [==============================] - 0s 919us/step - loss: 0.5233
Epoch 112/150
76/76 [==============================] - 0s 905us/step - loss: 0.5224
Epoch 113/150
76/76 [==============================] - 0s 905us/step - loss: 0.5209
Epoch 114/150
76/76 [==============================] - 0s 919us/step - loss: 0.5218
Epoch 115/150
76/76 [==============================] - 0s 892us/step - loss: 0.5209
Epoch 116/150
76/76 [==============================] - 0s 919us/step - loss: 0.5197
Epoch 117/150
76/76 [==============================] - 0s 814us/step - loss: 0.5204
Epoch 118/150
76/76 [==============================] - 0s 800us/step - loss: 0.5217
Epoch 119/150
76/76 [==============================] - 0s 853us/step - loss: 0.5214
Epoch 120/150
76/76 [==============================] - 0s 879us/step - loss: 0.5212
Epoch 121/150
76/76 [==============================] - 0s 866us/step - loss: 0.5194
Epoch 122/150
76/76 [==============================] - 0s 879us/step - loss: 0.5202
Epoch 123/150
76/76 [==============================] - 0s 892us/step - loss: 0.5189
Epoch 124/150
76/76 [==============================] - 0s 945us/step - loss: 0.5193
Epoch 125/150
76/76 [==============================] - 0s 879us/step - loss: 0.5193
Epoch 126/150
76/76 [==============================] - 0s 905us/step - loss: 0.5194
Epoch 127/150
76/76 [==============================] - 0s 879us/step - loss: 0.5184
Epoch 128/150
76/76 [==============================] - 0s 853us/step - loss: 0.5195
Epoch 129/150
76/76 [==============================] - 0s 853us/step - loss: 0.5179
Epoch 130/150
76/76 [==============================] - 0s 827us/step - loss: 0.5209
Epoch 131/150
76/76 [==============================] - 0s 853us/step - loss: 0.5182
Epoch 132/150
76/76 [==============================] - 0s 905us/step - loss: 0.5161
Epoch 133/150
76/76 [==============================] - 0s 932us/step - loss: 0.5166
Epoch 134/150
76/76 [==============================] - 0s 814us/step - loss: 0.5185
Epoch 135/150
76/76 [==============================] - 0s 958us/step - loss: 0.5182
Epoch 136/150
76/76 [==============================] - 0s 997us/step - loss: 0.5165
Epoch 137/150
76/76 [==============================] - 0s 945us/step - loss: 0.5159
Epoch 138/150
76/76 [==============================] - 0s 866us/step - loss: 0.5139
Epoch 139/150
76/76 [==============================] - 0s 840us/step - loss: 0.5149
Epoch 140/150
76/76 [==============================] - 0s 866us/step - loss: 0.5141
Epoch 141/150
76/76 [==============================] - 0s 958us/step - loss: 0.5148
Epoch 142/150
76/76 [==============================] - 0s 801us/step - loss: 0.5134
Epoch 143/150
76/76 [==============================] - 0s 892us/step - loss: 0.5176
Epoch 144/150
76/76 [==============================] - 0s 984us/step - loss: 0.5127
Epoch 145/150
76/76 [==============================] - 0s 853us/step - loss: 0.5151
Epoch 146/150
76/76 [==============================] - 0s 879us/step - loss: 0.5136
Epoch 147/150
76/76 [==============================] - 0s 958us/step - loss: 0.5137
Epoch 148/150
76/76 [==============================] - 0s 827us/step - loss: 0.5144
Epoch 149/150
76/76 [==============================] - 0s 909us/step - loss: 0.5141
Epoch 150/150
76/76 [==============================] - 0s 892us/step - loss: 0.5132
###################################################################### Accuracy: 76.19911227167707
Epoch 1/150
77/77 [==============================] - 0s 1ms/step - loss: 0.9821
Epoch 2/150
77/77 [==============================] - 0s 971us/step - loss: 0.8992
Epoch 3/150
77/77 [==============================] - 0s 881us/step - loss: 0.7430
Epoch 4/150
77/77 [==============================] - 0s 920us/step - loss: 0.6712
Epoch 5/150
77/77 [==============================] - 0s 933us/step - loss: 0.6438
Epoch 6/150
77/77 [==============================] - 0s 868us/step - loss: 0.6361
Epoch 7/150
77/77 [==============================] - 0s 920us/step - loss: 0.6319
Epoch 8/150
77/77 [==============================] - 0s 868us/step - loss: 0.6292
Epoch 9/150
77/77 [==============================] - 0s 868us/step - loss: 0.6215
Epoch 10/150
77/77 [==============================] - 0s 881us/step - loss: 0.6176
Epoch 11/150
77/77 [==============================] - 0s 842us/step - loss: 0.6144
Epoch 12/150
77/77 [==============================] - 0s 816us/step - loss: 0.6107
Epoch 13/150
77/77 [==============================] - 0s 881us/step - loss: 0.6089
Epoch 14/150
77/77 [==============================] - 0s 881us/step - loss: 0.6065
Epoch 15/150
77/77 [==============================] - 0s 920us/step - loss: 0.6034
Epoch 16/150
77/77 [==============================] - 0s 920us/step - loss: 0.6024
Epoch 17/150
77/77 [==============================] - 0s 894us/step - loss: 0.5983
Epoch 18/150
77/77 [==============================] - 0s 971us/step - loss: 0.5969
Epoch 19/150
77/77 [==============================] - 0s 868us/step - loss: 0.5937
Epoch 20/150
77/77 [==============================] - 0s 907us/step - loss: 0.5938
Epoch 21/150
77/77 [==============================] - 0s 894us/step - loss: 0.5911
Epoch 22/150
77/77 [==============================] - 0s 816us/step - loss: 0.5914
Epoch 23/150
77/77 [==============================] - 0s 855us/step - loss: 0.5878
Epoch 24/150
77/77 [==============================] - 0s 907us/step - loss: 0.5864
Epoch 25/150
77/77 [==============================] - 0s 958us/step - loss: 0.5859
Epoch 26/150
77/77 [==============================] - 0s 907us/step - loss: 0.5834
Epoch 27/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5823
Epoch 28/150
77/77 [==============================] - 0s 971us/step - loss: 0.5805
Epoch 29/150
77/77 [==============================] - 0s 881us/step - loss: 0.5791
Epoch 30/150
77/77 [==============================] - 0s 971us/step - loss: 0.5814
Epoch 31/150
77/77 [==============================] - 0s 997us/step - loss: 0.5767
Epoch 32/150
77/77 [==============================] - 0s 920us/step - loss: 0.5761
Epoch 33/150
77/77 [==============================] - 0s 907us/step - loss: 0.5757
Epoch 34/150
77/77 [==============================] - 0s 881us/step - loss: 0.5775
Epoch 35/150
77/77 [==============================] - 0s 958us/step - loss: 0.5748
Epoch 36/150
77/77 [==============================] - 0s 946us/step - loss: 0.5740
Epoch 37/150
77/77 [==============================] - 0s 946us/step - loss: 0.5718
Epoch 38/150
77/77 [==============================] - 0s 933us/step - loss: 0.5729
Epoch 39/150
77/77 [==============================] - 0s 958us/step - loss: 0.5693
Epoch 40/150
77/77 [==============================] - 0s 946us/step - loss: 0.5725
Epoch 41/150
77/77 [==============================] - 0s 933us/step - loss: 0.5702
Epoch 42/150
77/77 [==============================] - 0s 946us/step - loss: 0.5677
Epoch 43/150
77/77 [==============================] - 0s 933us/step - loss: 0.5677
Epoch 44/150
77/77 [==============================] - 0s 920us/step - loss: 0.5676
Epoch 45/150
77/77 [==============================] - 0s 984us/step - loss: 0.5692
Epoch 46/150
77/77 [==============================] - 0s 920us/step - loss: 0.5649
Epoch 47/150
77/77 [==============================] - 0s 997us/step - loss: 0.5661
Epoch 48/150
77/77 [==============================] - 0s 971us/step - loss: 0.5647
Epoch 49/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5636
Epoch 50/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5656
Epoch 51/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5654
Epoch 52/150
77/77 [==============================] - 0s 959us/step - loss: 0.5614
Epoch 53/150
77/77 [==============================] - 0s 946us/step - loss: 0.5630
Epoch 54/150
77/77 [==============================] - 0s 971us/step - loss: 0.5612
Epoch 55/150
77/77 [==============================] - 0s 920us/step - loss: 0.5608
Epoch 56/150
77/77 [==============================] - 0s 881us/step - loss: 0.5603
Epoch 57/150
77/77 [==============================] - 0s 958us/step - loss: 0.5601
Epoch 58/150
77/77 [==============================] - 0s 958us/step - loss: 0.5583
Epoch 59/150
77/77 [==============================] - 0s 971us/step - loss: 0.5593
Epoch 60/150
77/77 [==============================] - 0s 894us/step - loss: 0.5603
Epoch 61/150
77/77 [==============================] - 0s 907us/step - loss: 0.5584
Epoch 62/150
77/77 [==============================] - 0s 946us/step - loss: 0.5587
Epoch 63/150
77/77 [==============================] - 0s 933us/step - loss: 0.5612
Epoch 64/150
77/77 [==============================] - 0s 907us/step - loss: 0.5571
Epoch 65/150
77/77 [==============================] - 0s 958us/step - loss: 0.5582
Epoch 66/150
77/77 [==============================] - 0s 933us/step - loss: 0.5563
Epoch 67/150
77/77 [==============================] - 0s 945us/step - loss: 0.5548
Epoch 68/150
77/77 [==============================] - 0s 946us/step - loss: 0.5543
Epoch 69/150
77/77 [==============================] - 0s 958us/step - loss: 0.5538
Epoch 70/150
77/77 [==============================] - 0s 894us/step - loss: 0.5542
Epoch 71/150
77/77 [==============================] - 0s 868us/step - loss: 0.5518
Epoch 72/150
77/77 [==============================] - 0s 894us/step - loss: 0.5543
Epoch 73/150
77/77 [==============================] - 0s 881us/step - loss: 0.5520
Epoch 74/150
77/77 [==============================] - 0s 894us/step - loss: 0.5518
Epoch 75/150
77/77 [==============================] - 0s 842us/step - loss: 0.5524
Epoch 76/150
77/77 [==============================] - 0s 842us/step - loss: 0.5508
Epoch 77/150
77/77 [==============================] - 0s 868us/step - loss: 0.5518
Epoch 78/150
77/77 [==============================] - 0s 816us/step - loss: 0.5503
Epoch 79/150
77/77 [==============================] - 0s 829us/step - loss: 0.5507
Epoch 80/150
77/77 [==============================] - 0s 946us/step - loss: 0.5502
Epoch 81/150
77/77 [==============================] - 0s 842us/step - loss: 0.5497
Epoch 82/150
77/77 [==============================] - 0s 829us/step - loss: 0.5473
Epoch 83/150
77/77 [==============================] - 0s 829us/step - loss: 0.5474
Epoch 84/150
77/77 [==============================] - 0s 855us/step - loss: 0.5461
Epoch 85/150
77/77 [==============================] - 0s 842us/step - loss: 0.5467
Epoch 86/150
77/77 [==============================] - 0s 829us/step - loss: 0.5469
Epoch 87/150
77/77 [==============================] - 0s 894us/step - loss: 0.5458
Epoch 88/150
77/77 [==============================] - 0s 803us/step - loss: 0.5459
Epoch 89/150
77/77 [==============================] - 0s 855us/step - loss: 0.5460
Epoch 90/150
77/77 [==============================] - 0s 829us/step - loss: 0.5450
Epoch 91/150
77/77 [==============================] - 0s 894us/step - loss: 0.5448
Epoch 92/150
77/77 [==============================] - 0s 790us/step - loss: 0.5438
Epoch 93/150
77/77 [==============================] - 0s 855us/step - loss: 0.5443
Epoch 94/150
77/77 [==============================] - 0s 881us/step - loss: 0.5433
Epoch 95/150
77/77 [==============================] - 0s 894us/step - loss: 0.5429
Epoch 96/150
77/77 [==============================] - 0s 790us/step - loss: 0.5432
Epoch 97/150
77/77 [==============================] - 0s 842us/step - loss: 0.5437
Epoch 98/150
77/77 [==============================] - 0s 855us/step - loss: 0.5418
Epoch 99/150
77/77 [==============================] - 0s 829us/step - loss: 0.5431
Epoch 100/150
77/77 [==============================] - 0s 816us/step - loss: 0.5419
Epoch 101/150
77/77 [==============================] - 0s 842us/step - loss: 0.5430
Epoch 102/150
77/77 [==============================] - 0s 868us/step - loss: 0.5415
Epoch 103/150
77/77 [==============================] - 0s 894us/step - loss: 0.5412
Epoch 104/150
77/77 [==============================] - 0s 829us/step - loss: 0.5411
Epoch 105/150
77/77 [==============================] - 0s 894us/step - loss: 0.5393
Epoch 106/150
77/77 [==============================] - 0s 881us/step - loss: 0.5396
Epoch 107/150
77/77 [==============================] - 0s 842us/step - loss: 0.5401
Epoch 108/150
77/77 [==============================] - 0s 842us/step - loss: 0.5409
Epoch 109/150
77/77 [==============================] - 0s 855us/step - loss: 0.5383
Epoch 110/150
77/77 [==============================] - 0s 816us/step - loss: 0.5386
Epoch 111/150
77/77 [==============================] - 0s 842us/step - loss: 0.5391
Epoch 112/150
77/77 [==============================] - 0s 842us/step - loss: 0.5404
Epoch 113/150
77/77 [==============================] - 0s 855us/step - loss: 0.5358
Epoch 114/150
77/77 [==============================] - 0s 842us/step - loss: 0.5375
Epoch 115/150
77/77 [==============================] - 0s 816us/step - loss: 0.5393
Epoch 116/150
77/77 [==============================] - 0s 920us/step - loss: 0.5356
Epoch 117/150
77/77 [==============================] - 0s 868us/step - loss: 0.5362
Epoch 118/150
77/77 [==============================] - 0s 816us/step - loss: 0.5346
Epoch 119/150
77/77 [==============================] - 0s 829us/step - loss: 0.5357
Epoch 120/150
77/77 [==============================] - 0s 842us/step - loss: 0.5360
Epoch 121/150
77/77 [==============================] - 0s 842us/step - loss: 0.5344
Epoch 122/150
77/77 [==============================] - 0s 842us/step - loss: 0.5347
Epoch 123/150
77/77 [==============================] - 0s 829us/step - loss: 0.5332
Epoch 124/150
77/77 [==============================] - 0s 816us/step - loss: 0.5327
Epoch 125/150
77/77 [==============================] - 0s 881us/step - loss: 0.5324
Epoch 126/150
77/77 [==============================] - 0s 855us/step - loss: 0.5326
Epoch 127/150
77/77 [==============================] - 0s 829us/step - loss: 0.5333
Epoch 128/150
77/77 [==============================] - 0s 855us/step - loss: 0.5318
Epoch 129/150
77/77 [==============================] - 0s 894us/step - loss: 0.5300
Epoch 130/150
77/77 [==============================] - 0s 855us/step - loss: 0.5301
Epoch 131/150
77/77 [==============================] - 0s 868us/step - loss: 0.5315
Epoch 132/150
77/77 [==============================] - 0s 868us/step - loss: 0.5369
Epoch 133/150
77/77 [==============================] - 0s 842us/step - loss: 0.5293
Epoch 134/150
77/77 [==============================] - 0s 842us/step - loss: 0.5278
Epoch 135/150
77/77 [==============================] - 0s 842us/step - loss: 0.5278
Epoch 136/150
77/77 [==============================] - 0s 868us/step - loss: 0.5289
Epoch 137/150
77/77 [==============================] - 0s 845us/step - loss: 0.5273
Epoch 138/150
77/77 [==============================] - 0s 868us/step - loss: 0.5273
Epoch 139/150
77/77 [==============================] - 0s 803us/step - loss: 0.5281
Epoch 140/150
77/77 [==============================] - 0s 842us/step - loss: 0.5258
Epoch 141/150
77/77 [==============================] - 0s 881us/step - loss: 0.5266
Epoch 142/150
77/77 [==============================] - 0s 816us/step - loss: 0.5258
Epoch 143/150
77/77 [==============================] - 0s 842us/step - loss: 0.5248
Epoch 144/150
77/77 [==============================] - 0s 842us/step - loss: 0.5252
Epoch 145/150
77/77 [==============================] - 0s 842us/step - loss: 0.5213
Epoch 146/150
77/77 [==============================] - 0s 868us/step - loss: 0.5227
Epoch 147/150
77/77 [==============================] - 0s 816us/step - loss: 0.5239
Epoch 148/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5200
Epoch 149/150
77/77 [==============================] - 0s 933us/step - loss: 0.5232
Epoch 150/150
77/77 [==============================] - 0s 907us/step - loss: 0.5187
###################################################################### Accuracy: 70.18186578449411
Epoch 1/150
77/77 [==============================] - 0s 1ms/step - loss: 0.9753
Epoch 2/150
77/77 [==============================] - 0s 829us/step - loss: 0.9347
Epoch 3/150
77/77 [==============================] - 0s 842us/step - loss: 0.8003
Epoch 4/150
77/77 [==============================] - 0s 855us/step - loss: 0.6477
Epoch 5/150
77/77 [==============================] - 0s 829us/step - loss: 0.6192
Epoch 6/150
77/77 [==============================] - 0s 829us/step - loss: 0.6105
Epoch 7/150
77/77 [==============================] - 0s 842us/step - loss: 0.6032
Epoch 8/150
77/77 [==============================] - 0s 829us/step - loss: 0.6001
Epoch 9/150
77/77 [==============================] - 0s 868us/step - loss: 0.5965
Epoch 10/150
77/77 [==============================] - 0s 842us/step - loss: 0.5920
Epoch 11/150
77/77 [==============================] - 0s 842us/step - loss: 0.5923
Epoch 12/150
77/77 [==============================] - 0s 907us/step - loss: 0.5834
Epoch 13/150
77/77 [==============================] - 0s 842us/step - loss: 0.5821
Epoch 14/150
77/77 [==============================] - 0s 842us/step - loss: 0.5795
Epoch 15/150
77/77 [==============================] - 0s 829us/step - loss: 0.5751
Epoch 16/150
77/77 [==============================] - 0s 816us/step - loss: 0.5741
Epoch 17/150
77/77 [==============================] - 0s 855us/step - loss: 0.5703
Epoch 18/150
77/77 [==============================] - 0s 855us/step - loss: 0.5691
Epoch 19/150
77/77 [==============================] - 0s 855us/step - loss: 0.5669
Epoch 20/150
77/77 [==============================] - 0s 829us/step - loss: 0.5661
Epoch 21/150
77/77 [==============================] - 0s 829us/step - loss: 0.5645
Epoch 22/150
77/77 [==============================] - 0s 803us/step - loss: 0.5621
Epoch 23/150
77/77 [==============================] - 0s 881us/step - loss: 0.5603
Epoch 24/150
77/77 [==============================] - 0s 894us/step - loss: 0.5616
Epoch 25/150
77/77 [==============================] - 0s 816us/step - loss: 0.5610
Epoch 26/150
77/77 [==============================] - 0s 829us/step - loss: 0.5581
Epoch 27/150
77/77 [==============================] - 0s 868us/step - loss: 0.5564
Epoch 28/150
77/77 [==============================] - 0s 829us/step - loss: 0.5559
Epoch 29/150
77/77 [==============================] - 0s 842us/step - loss: 0.5555
Epoch 30/150
77/77 [==============================] - 0s 829us/step - loss: 0.5549
Epoch 31/150
77/77 [==============================] - 0s 829us/step - loss: 0.5541
Epoch 32/150
77/77 [==============================] - 0s 894us/step - loss: 0.5517
Epoch 33/150
77/77 [==============================] - 0s 842us/step - loss: 0.5527
Epoch 34/150
77/77 [==============================] - 0s 842us/step - loss: 0.5517
Epoch 35/150
77/77 [==============================] - 0s 829us/step - loss: 0.5503
Epoch 36/150
77/77 [==============================] - 0s 829us/step - loss: 0.5512
Epoch 37/150
77/77 [==============================] - 0s 868us/step - loss: 0.5504
Epoch 38/150
77/77 [==============================] - 0s 855us/step - loss: 0.5488
Epoch 39/150
77/77 [==============================] - 0s 829us/step - loss: 0.5481
Epoch 40/150
77/77 [==============================] - 0s 881us/step - loss: 0.5473
Epoch 41/150
77/77 [==============================] - 0s 816us/step - loss: 0.5475
Epoch 42/150
77/77 [==============================] - 0s 868us/step - loss: 0.5481
Epoch 43/150
77/77 [==============================] - 0s 855us/step - loss: 0.5456
Epoch 44/150
77/77 [==============================] - 0s 842us/step - loss: 0.5463
Epoch 45/150
77/77 [==============================] - 0s 868us/step - loss: 0.5454
Epoch 46/150
77/77 [==============================] - 0s 855us/step - loss: 0.5440
Epoch 47/150
77/77 [==============================] - 0s 868us/step - loss: 0.5448
Epoch 48/150
77/77 [==============================] - 0s 881us/step - loss: 0.5421
Epoch 49/150
77/77 [==============================] - 0s 829us/step - loss: 0.5423
Epoch 50/150
77/77 [==============================] - 0s 881us/step - loss: 0.5409
Epoch 51/150
77/77 [==============================] - 0s 907us/step - loss: 0.5410
Epoch 52/150
77/77 [==============================] - 0s 894us/step - loss: 0.5411
Epoch 53/150
77/77 [==============================] - 0s 829us/step - loss: 0.5407
Epoch 54/150
77/77 [==============================] - 0s 829us/step - loss: 0.5406
Epoch 55/150
77/77 [==============================] - 0s 868us/step - loss: 0.5391
Epoch 56/150
77/77 [==============================] - 0s 855us/step - loss: 0.5376
Epoch 57/150
77/77 [==============================] - 0s 842us/step - loss: 0.5390
Epoch 58/150
77/77 [==============================] - 0s 958us/step - loss: 0.5373
Epoch 59/150
77/77 [==============================] - 0s 816us/step - loss: 0.5366
Epoch 60/150
77/77 [==============================] - 0s 855us/step - loss: 0.5378
Epoch 61/150
77/77 [==============================] - 0s 842us/step - loss: 0.5382
Epoch 62/150
77/77 [==============================] - 0s 829us/step - loss: 0.5352
Epoch 63/150
77/77 [==============================] - 0s 855us/step - loss: 0.5351
Epoch 64/150
77/77 [==============================] - 0s 842us/step - loss: 0.5341
Epoch 65/150
77/77 [==============================] - 0s 829us/step - loss: 0.5374
Epoch 66/150
77/77 [==============================] - 0s 855us/step - loss: 0.5329
Epoch 67/150
77/77 [==============================] - 0s 881us/step - loss: 0.5364
Epoch 68/150
77/77 [==============================] - 0s 997us/step - loss: 0.5320
Epoch 69/150
77/77 [==============================] - 0s 842us/step - loss: 0.5330
Epoch 70/150
77/77 [==============================] - 0s 881us/step - loss: 0.5318
Epoch 71/150
77/77 [==============================] - 0s 946us/step - loss: 0.5313
Epoch 72/150
77/77 [==============================] - 0s 920us/step - loss: 0.5326
Epoch 73/150
77/77 [==============================] - 0s 971us/step - loss: 0.5319
Epoch 74/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5292
Epoch 75/150
77/77 [==============================] - 0s 984us/step - loss: 0.5293
Epoch 76/150
77/77 [==============================] - 0s 946us/step - loss: 0.5288
Epoch 77/150
77/77 [==============================] - 0s 920us/step - loss: 0.5288
Epoch 78/150
77/77 [==============================] - 0s 958us/step - loss: 0.5300
Epoch 79/150
77/77 [==============================] - 0s 946us/step - loss: 0.5277
Epoch 80/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5283
Epoch 81/150
77/77 [==============================] - 0s 984us/step - loss: 0.5269
Epoch 82/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5268
Epoch 83/150
77/77 [==============================] - 0s 946us/step - loss: 0.5258
Epoch 84/150
77/77 [==============================] - 0s 971us/step - loss: 0.5262
Epoch 85/150
77/77 [==============================] - 0s 971us/step - loss: 0.5269
Epoch 86/150
77/77 [==============================] - 0s 971us/step - loss: 0.5248
Epoch 87/150
77/77 [==============================] - 0s 946us/step - loss: 0.5254
Epoch 88/150
77/77 [==============================] - 0s 971us/step - loss: 0.5246
Epoch 89/150
77/77 [==============================] - 0s 971us/step - loss: 0.5268
Epoch 90/150
77/77 [==============================] - 0s 958us/step - loss: 0.5243
Epoch 91/150
77/77 [==============================] - 0s 997us/step - loss: 0.5268
Epoch 92/150
77/77 [==============================] - 0s 868us/step - loss: 0.5239
Epoch 93/150
77/77 [==============================] - 0s 868us/step - loss: 0.5227
Epoch 94/150
77/77 [==============================] - 0s 881us/step - loss: 0.5250
Epoch 95/150
77/77 [==============================] - 0s 855us/step - loss: 0.5231
Epoch 96/150
77/77 [==============================] - 0s 842us/step - loss: 0.5229
Epoch 97/150
77/77 [==============================] - 0s 881us/step - loss: 0.5222
Epoch 98/150
77/77 [==============================] - 0s 907us/step - loss: 0.5203
Epoch 99/150
77/77 [==============================] - 0s 881us/step - loss: 0.5222
Epoch 100/150
77/77 [==============================] - 0s 855us/step - loss: 0.5206
Epoch 101/150
77/77 [==============================] - 0s 855us/step - loss: 0.5206
Epoch 102/150
77/77 [==============================] - 0s 894us/step - loss: 0.5192
Epoch 103/150
77/77 [==============================] - 0s 842us/step - loss: 0.5223
Epoch 104/150
77/77 [==============================] - 0s 842us/step - loss: 0.5188
Epoch 105/150
77/77 [==============================] - 0s 855us/step - loss: 0.5176
Epoch 106/150
77/77 [==============================] - 0s 829us/step - loss: 0.5180
Epoch 107/150
77/77 [==============================] - 0s 868us/step - loss: 0.5181
Epoch 108/150
77/77 [==============================] - 0s 842us/step - loss: 0.5167
Epoch 109/150
77/77 [==============================] - 0s 894us/step - loss: 0.5167
Epoch 110/150
77/77 [==============================] - 0s 855us/step - loss: 0.5168
Epoch 111/150
77/77 [==============================] - 0s 881us/step - loss: 0.5179
Epoch 112/150
77/77 [==============================] - 0s 933us/step - loss: 0.5252
Epoch 113/150
77/77 [==============================] - 0s 933us/step - loss: 0.5191
Epoch 114/150
77/77 [==============================] - 0s 971us/step - loss: 0.5157
Epoch 115/150
77/77 [==============================] - 0s 945us/step - loss: 0.5144
Epoch 116/150
77/77 [==============================] - 0s 920us/step - loss: 0.5175
Epoch 117/150
77/77 [==============================] - 0s 971us/step - loss: 0.5138
Epoch 118/150
77/77 [==============================] - 0s 984us/step - loss: 0.5157
Epoch 119/150
77/77 [==============================] - 0s 958us/step - loss: 0.5148
Epoch 120/150
77/77 [==============================] - 0s 946us/step - loss: 0.5151
Epoch 121/150
77/77 [==============================] - 0s 842us/step - loss: 0.5152
Epoch 122/150
77/77 [==============================] - 0s 933us/step - loss: 0.5145
Epoch 123/150
77/77 [==============================] - 0s 855us/step - loss: 0.5133
Epoch 124/150
77/77 [==============================] - 0s 881us/step - loss: 0.5132
Epoch 125/150
77/77 [==============================] - 0s 855us/step - loss: 0.5123
Epoch 126/150
77/77 [==============================] - 0s 829us/step - loss: 0.5124
Epoch 127/150
77/77 [==============================] - 0s 842us/step - loss: 0.5132
Epoch 128/150
77/77 [==============================] - 0s 842us/step - loss: 0.5126
Epoch 129/150
77/77 [==============================] - 0s 842us/step - loss: 0.5125
Epoch 130/150
77/77 [==============================] - 0s 829us/step - loss: 0.5140
Epoch 131/150
77/77 [==============================] - 0s 842us/step - loss: 0.5151
Epoch 132/150
77/77 [==============================] - 0s 842us/step - loss: 0.5123
Epoch 133/150
77/77 [==============================] - 0s 816us/step - loss: 0.5099
Epoch 134/150
77/77 [==============================] - 0s 868us/step - loss: 0.5078
Epoch 135/150
77/77 [==============================] - 0s 855us/step - loss: 0.5065
Epoch 136/150
77/77 [==============================] - 0s 829us/step - loss: 0.5072
Epoch 137/150
77/77 [==============================] - 0s 946us/step - loss: 0.5070
Epoch 138/150
77/77 [==============================] - 0s 868us/step - loss: 0.5060
Epoch 139/150
77/77 [==============================] - 0s 842us/step - loss: 0.5081
Epoch 140/150
77/77 [==============================] - 0s 829us/step - loss: 0.5061
Epoch 141/150
77/77 [==============================] - 0s 842us/step - loss: 0.5036
Epoch 142/150
77/77 [==============================] - 0s 868us/step - loss: 0.5049
Epoch 143/150
77/77 [==============================] - 0s 777us/step - loss: 0.5046
Epoch 144/150
77/77 [==============================] - 0s 803us/step - loss: 0.5024
Epoch 145/150
77/77 [==============================] - 0s 868us/step - loss: 0.5009
Epoch 146/150
77/77 [==============================] - 0s 855us/step - loss: 0.5034
Epoch 147/150
77/77 [==============================] - 0s 881us/step - loss: 0.5021
Epoch 148/150
77/77 [==============================] - 0s 868us/step - loss: 0.4997
Epoch 149/150
77/77 [==============================] - 0s 829us/step - loss: 0.5029
Epoch 150/150
77/77 [==============================] - 0s 855us/step - loss: 0.5003
###################################################################### Accuracy: 85.75817288253906
Epoch 1/150
77/77 [==============================] - 0s 868us/step - loss: 1.0142
Epoch 2/150
77/77 [==============================] - 0s 933us/step - loss: 0.9333
Epoch 3/150
77/77 [==============================] - 0s 868us/step - loss: 0.7359
Epoch 4/150
77/77 [==============================] - 0s 829us/step - loss: 0.6627
Epoch 5/150
77/77 [==============================] - 0s 868us/step - loss: 0.6488
Epoch 6/150
77/77 [==============================] - 0s 816us/step - loss: 0.6452
Epoch 7/150
77/77 [==============================] - 0s 842us/step - loss: 0.6407
Epoch 8/150
77/77 [==============================] - 0s 894us/step - loss: 0.6359
Epoch 9/150
77/77 [==============================] - 0s 868us/step - loss: 0.6333
Epoch 10/150
77/77 [==============================] - 0s 855us/step - loss: 0.6288
Epoch 11/150
77/77 [==============================] - 0s 894us/step - loss: 0.6257
Epoch 12/150
77/77 [==============================] - 0s 894us/step - loss: 0.6224
Epoch 13/150
77/77 [==============================] - 0s 842us/step - loss: 0.6190
Epoch 14/150
77/77 [==============================] - 0s 855us/step - loss: 0.6174
Epoch 15/150
77/77 [==============================] - 0s 855us/step - loss: 0.6138
Epoch 16/150
77/77 [==============================] - 0s 868us/step - loss: 0.6113
Epoch 17/150
77/77 [==============================] - 0s 855us/step - loss: 0.6097
Epoch 18/150
77/77 [==============================] - 0s 829us/step - loss: 0.6100
Epoch 19/150
77/77 [==============================] - 0s 907us/step - loss: 0.6076
Epoch 20/150
77/77 [==============================] - 0s 881us/step - loss: 0.6052
Epoch 21/150
77/77 [==============================] - 0s 842us/step - loss: 0.6050
Epoch 22/150
77/77 [==============================] - 0s 842us/step - loss: 0.6039
Epoch 23/150
77/77 [==============================] - 0s 868us/step - loss: 0.6001
Epoch 24/150
77/77 [==============================] - 0s 868us/step - loss: 0.6000
Epoch 25/150
77/77 [==============================] - 0s 881us/step - loss: 0.6007
Epoch 26/150
77/77 [==============================] - 0s 842us/step - loss: 0.5983
Epoch 27/150
77/77 [==============================] - 0s 842us/step - loss: 0.5981
Epoch 28/150
77/77 [==============================] - 0s 881us/step - loss: 0.5975
Epoch 29/150
77/77 [==============================] - 0s 868us/step - loss: 0.5970
Epoch 30/150
77/77 [==============================] - 0s 855us/step - loss: 0.5939
Epoch 31/150
77/77 [==============================] - 0s 868us/step - loss: 0.5941
Epoch 32/150
77/77 [==============================] - 0s 868us/step - loss: 0.5919
Epoch 33/150
77/77 [==============================] - 0s 868us/step - loss: 0.5931
Epoch 34/150
77/77 [==============================] - 0s 855us/step - loss: 0.5919
Epoch 35/150
77/77 [==============================] - 0s 894us/step - loss: 0.5886
Epoch 36/150
77/77 [==============================] - 0s 881us/step - loss: 0.5909
Epoch 37/150
77/77 [==============================] - 0s 894us/step - loss: 0.5883
Epoch 38/150
77/77 [==============================] - 0s 855us/step - loss: 0.5870
Epoch 39/150
77/77 [==============================] - 0s 842us/step - loss: 0.5869
Epoch 40/150
77/77 [==============================] - 0s 881us/step - loss: 0.5849
Epoch 41/150
77/77 [==============================] - 0s 868us/step - loss: 0.5848
Epoch 42/150
77/77 [==============================] - 0s 894us/step - loss: 0.5860
Epoch 43/150
77/77 [==============================] - 0s 855us/step - loss: 0.5830
Epoch 44/150
77/77 [==============================] - 0s 855us/step - loss: 0.5825
Epoch 45/150
77/77 [==============================] - 0s 881us/step - loss: 0.5814
Epoch 46/150
77/77 [==============================] - 0s 855us/step - loss: 0.5819
Epoch 47/150
77/77 [==============================] - 0s 842us/step - loss: 0.5776
Epoch 48/150
77/77 [==============================] - 0s 997us/step - loss: 0.5800
Epoch 49/150
77/77 [==============================] - 0s 842us/step - loss: 0.5784
Epoch 50/150
77/77 [==============================] - 0s 842us/step - loss: 0.5775
Epoch 51/150
77/77 [==============================] - 0s 894us/step - loss: 0.5754
Epoch 52/150
77/77 [==============================] - 0s 855us/step - loss: 0.5745
Epoch 53/150
77/77 [==============================] - 0s 855us/step - loss: 0.5762
Epoch 54/150
77/77 [==============================] - 0s 868us/step - loss: 0.5741
Epoch 55/150
77/77 [==============================] - 0s 868us/step - loss: 0.5729
Epoch 56/150
77/77 [==============================] - 0s 855us/step - loss: 0.5727
Epoch 57/150
77/77 [==============================] - 0s 842us/step - loss: 0.5735
Epoch 58/150
77/77 [==============================] - 0s 881us/step - loss: 0.5714
Epoch 59/150
77/77 [==============================] - 0s 907us/step - loss: 0.5701
Epoch 60/150
77/77 [==============================] - 0s 842us/step - loss: 0.5705
Epoch 61/150
77/77 [==============================] - 0s 868us/step - loss: 0.5700
Epoch 62/150
77/77 [==============================] - 0s 881us/step - loss: 0.5679
Epoch 63/150
77/77 [==============================] - 0s 881us/step - loss: 0.5659
Epoch 64/150
77/77 [==============================] - 0s 842us/step - loss: 0.5670
Epoch 65/150
77/77 [==============================] - 0s 868us/step - loss: 0.5671
Epoch 66/150
77/77 [==============================] - 0s 907us/step - loss: 0.5660
Epoch 67/150
77/77 [==============================] - 0s 855us/step - loss: 0.5683
Epoch 68/150
77/77 [==============================] - 0s 933us/step - loss: 0.5630
Epoch 69/150
77/77 [==============================] - 0s 868us/step - loss: 0.5637
Epoch 70/150
77/77 [==============================] - 0s 842us/step - loss: 0.5643
Epoch 71/150
77/77 [==============================] - 0s 855us/step - loss: 0.5630
Epoch 72/150
77/77 [==============================] - 0s 881us/step - loss: 0.5627
Epoch 73/150
77/77 [==============================] - 0s 842us/step - loss: 0.5599
Epoch 74/150
77/77 [==============================] - 0s 855us/step - loss: 0.5626
Epoch 75/150
77/77 [==============================] - 0s 842us/step - loss: 0.5618
Epoch 76/150
77/77 [==============================] - 0s 842us/step - loss: 0.5603
Epoch 77/150
77/77 [==============================] - 0s 881us/step - loss: 0.5585
Epoch 78/150
77/77 [==============================] - 0s 829us/step - loss: 0.5581
Epoch 79/150
77/77 [==============================] - 0s 881us/step - loss: 0.5587
Epoch 80/150
77/77 [==============================] - 0s 803us/step - loss: 0.5602
Epoch 81/150
77/77 [==============================] - 0s 829us/step - loss: 0.5600
Epoch 82/150
77/77 [==============================] - 0s 920us/step - loss: 0.5585
Epoch 83/150
77/77 [==============================] - 0s 842us/step - loss: 0.5561
Epoch 84/150
77/77 [==============================] - 0s 868us/step - loss: 0.5567
Epoch 85/150
77/77 [==============================] - 0s 842us/step - loss: 0.5584
Epoch 86/150
77/77 [==============================] - 0s 868us/step - loss: 0.5558
Epoch 87/150
77/77 [==============================] - 0s 829us/step - loss: 0.5551
Epoch 88/150
77/77 [==============================] - 0s 868us/step - loss: 0.5556
Epoch 89/150
77/77 [==============================] - 0s 790us/step - loss: 0.5547
Epoch 90/150
77/77 [==============================] - 0s 907us/step - loss: 0.5536
Epoch 91/150
77/77 [==============================] - 0s 868us/step - loss: 0.5539
Epoch 92/150
77/77 [==============================] - 0s 855us/step - loss: 0.5586
Epoch 93/150
77/77 [==============================] - 0s 868us/step - loss: 0.5538
Epoch 94/150
77/77 [==============================] - 0s 894us/step - loss: 0.5537
Epoch 95/150
77/77 [==============================] - 0s 842us/step - loss: 0.5513
Epoch 96/150
77/77 [==============================] - 0s 868us/step - loss: 0.5528
Epoch 97/150
77/77 [==============================] - 0s 881us/step - loss: 0.5533
Epoch 98/150
77/77 [==============================] - 0s 829us/step - loss: 0.5525
Epoch 99/150
77/77 [==============================] - 0s 829us/step - loss: 0.5511
Epoch 100/150
77/77 [==============================] - 0s 855us/step - loss: 0.5509
Epoch 101/150
77/77 [==============================] - 0s 855us/step - loss: 0.5488
Epoch 102/150
77/77 [==============================] - 0s 868us/step - loss: 0.5551
Epoch 103/150
77/77 [==============================] - 0s 868us/step - loss: 0.5497
Epoch 104/150
77/77 [==============================] - 0s 855us/step - loss: 0.5504
Epoch 105/150
77/77 [==============================] - 0s 881us/step - loss: 0.5524
Epoch 106/150
77/77 [==============================] - 0s 842us/step - loss: 0.5484
Epoch 107/150
77/77 [==============================] - 0s 881us/step - loss: 0.5481
Epoch 108/150
77/77 [==============================] - 0s 881us/step - loss: 0.5488
Epoch 109/150
77/77 [==============================] - 0s 868us/step - loss: 0.5453
Epoch 110/150
77/77 [==============================] - 0s 855us/step - loss: 0.5524
Epoch 111/150
77/77 [==============================] - 0s 868us/step - loss: 0.5463
Epoch 112/150
77/77 [==============================] - 0s 855us/step - loss: 0.5502
Epoch 113/150
77/77 [==============================] - 0s 868us/step - loss: 0.5465
Epoch 114/150
77/77 [==============================] - 0s 881us/step - loss: 0.5483
Epoch 115/150
77/77 [==============================] - 0s 855us/step - loss: 0.5525
Epoch 116/150
77/77 [==============================] - 0s 894us/step - loss: 0.5464
Epoch 117/150
77/77 [==============================] - 0s 855us/step - loss: 0.5487
Epoch 118/150
77/77 [==============================] - 0s 881us/step - loss: 0.5444
Epoch 119/150
77/77 [==============================] - 0s 855us/step - loss: 0.5478
Epoch 120/150
77/77 [==============================] - 0s 881us/step - loss: 0.5465
Epoch 121/150
77/77 [==============================] - 0s 868us/step - loss: 0.5427
Epoch 122/150
77/77 [==============================] - 0s 855us/step - loss: 0.5447
Epoch 123/150
77/77 [==============================] - 0s 868us/step - loss: 0.5445
Epoch 124/150
77/77 [==============================] - 0s 842us/step - loss: 0.5444
Epoch 125/150
77/77 [==============================] - 0s 855us/step - loss: 0.5448
Epoch 126/150
77/77 [==============================] - 0s 855us/step - loss: 0.5417
Epoch 127/150
77/77 [==============================] - 0s 894us/step - loss: 0.5430
Epoch 128/150
77/77 [==============================] - 0s 855us/step - loss: 0.5394
Epoch 129/150
77/77 [==============================] - 0s 855us/step - loss: 0.5460
Epoch 130/150
77/77 [==============================] - 0s 842us/step - loss: 0.5439
Epoch 131/150
77/77 [==============================] - 0s 855us/step - loss: 0.5426
Epoch 132/150
77/77 [==============================] - 0s 855us/step - loss: 0.5395
Epoch 133/150
77/77 [==============================] - 0s 803us/step - loss: 0.5424
Epoch 134/150
77/77 [==============================] - 0s 881us/step - loss: 0.5408
Epoch 135/150
77/77 [==============================] - 0s 881us/step - loss: 0.5428
Epoch 136/150
77/77 [==============================] - 0s 816us/step - loss: 0.5420
Epoch 137/150
77/77 [==============================] - 0s 803us/step - loss: 0.5407
Epoch 138/150
77/77 [==============================] - 0s 816us/step - loss: 0.5406
Epoch 139/150
77/77 [==============================] - 0s 894us/step - loss: 0.5398
Epoch 140/150
77/77 [==============================] - 0s 881us/step - loss: 0.5391
Epoch 141/150
77/77 [==============================] - 0s 855us/step - loss: 0.5420
Epoch 142/150
77/77 [==============================] - 0s 907us/step - loss: 0.5398
Epoch 143/150
77/77 [==============================] - 0s 855us/step - loss: 0.5376
Epoch 144/150
77/77 [==============================] - 0s 803us/step - loss: 0.5387
Epoch 145/150
77/77 [==============================] - 0s 881us/step - loss: 0.5397
Epoch 146/150
77/77 [==============================] - 0s 855us/step - loss: 0.5378
Epoch 147/150
77/77 [==============================] - 0s 855us/step - loss: 0.5427
Epoch 148/150
77/77 [==============================] - 0s 855us/step - loss: 0.5385
Epoch 149/150
77/77 [==============================] - 0s 868us/step - loss: 0.5397
Epoch 150/150
77/77 [==============================] - 0s 868us/step - loss: 0.5363
###################################################################### Accuracy: 74.69199612806335
Epoch 1/150
77/77 [==============================] - 0s 1ms/step - loss: 0.9968
Epoch 2/150
77/77 [==============================] - 0s 868us/step - loss: 0.9020
Epoch 3/150
77/77 [==============================] - 0s 829us/step - loss: 0.7096
Epoch 4/150
77/77 [==============================] - 0s 881us/step - loss: 0.6456
Epoch 5/150
77/77 [==============================] - 0s 842us/step - loss: 0.6353
Epoch 6/150
77/77 [==============================] - 0s 894us/step - loss: 0.6294
Epoch 7/150
77/77 [==============================] - 0s 971us/step - loss: 0.6240
Epoch 8/150
77/77 [==============================] - 0s 946us/step - loss: 0.6197
Epoch 9/150
77/77 [==============================] - 0s 971us/step - loss: 0.6166
Epoch 10/150
77/77 [==============================] - 0s 1ms/step - loss: 0.6162
Epoch 11/150
77/77 [==============================] - 0s 829us/step - loss: 0.6136
Epoch 12/150
77/77 [==============================] - 0s 971us/step - loss: 0.6101
Epoch 13/150
77/77 [==============================] - 0s 920us/step - loss: 0.6062
Epoch 14/150
77/77 [==============================] - 0s 894us/step - loss: 0.6036
Epoch 15/150
77/77 [==============================] - 0s 894us/step - loss: 0.6008
Epoch 16/150
77/77 [==============================] - 0s 997us/step - loss: 0.5982
Epoch 17/150
77/77 [==============================] - 0s 958us/step - loss: 0.5964
Epoch 18/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5946
Epoch 19/150
77/77 [==============================] - 0s 739us/step - loss: 0.5935
Epoch 20/150
77/77 [==============================] - 0s 872us/step - loss: 0.5913
Epoch 21/150
77/77 [==============================] - 0s 907us/step - loss: 0.5900
Epoch 22/150
77/77 [==============================] - 0s 971us/step - loss: 0.5874
Epoch 23/150
77/77 [==============================] - 0s 553us/step - loss: 0.5846
Epoch 24/150
77/77 [==============================] - 0s 609us/step - loss: 0.5847
Epoch 25/150
77/77 [==============================] - 0s 812us/step - loss: 0.5820
Epoch 26/150
77/77 [==============================] - 0s 811us/step - loss: 0.5793
Epoch 27/150
77/77 [==============================] - 0s 811us/step - loss: 0.5785
Epoch 28/150
77/77 [==============================] - 0s 811us/step - loss: 0.5785
Epoch 29/150
77/77 [==============================] - 0s 609us/step - loss: 0.5759
Epoch 30/150
77/77 [==============================] - 0s 812us/step - loss: 0.5766
Epoch 31/150
77/77 [==============================] - 0s 811us/step - loss: 0.5722
Epoch 32/150
77/77 [==============================] - 0s 994us/step - loss: 0.5712
Epoch 33/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5712
Epoch 34/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5696
Epoch 35/150
77/77 [==============================] - 0s 907us/step - loss: 0.5686
Epoch 36/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5693
Epoch 37/150
77/77 [==============================] - 0s 920us/step - loss: 0.5671
Epoch 38/150
77/77 [==============================] - 0s 842us/step - loss: 0.5652
Epoch 39/150
77/77 [==============================] - 0s 868us/step - loss: 0.5658
Epoch 40/150
77/77 [==============================] - 0s 842us/step - loss: 0.5647
Epoch 41/150
77/77 [==============================] - 0s 855us/step - loss: 0.5643
Epoch 42/150
77/77 [==============================] - 0s 894us/step - loss: 0.5627
Epoch 43/150
77/77 [==============================] - 0s 907us/step - loss: 0.5624
Epoch 44/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5614
Epoch 45/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5609
Epoch 46/150
77/77 [==============================] - 0s 812us/step - loss: 0.5610
Epoch 47/150
77/77 [==============================] - 0s 811us/step - loss: 0.5598
Epoch 48/150
77/77 [==============================] - 0s 811us/step - loss: 0.5605
Epoch 49/150
77/77 [==============================] - 0s 609us/step - loss: 0.5581
Epoch 50/150
77/77 [==============================] - 0s 609us/step - loss: 0.5565
Epoch 51/150
77/77 [==============================] - 0s 812us/step - loss: 0.5562
Epoch 52/150
77/77 [==============================] - 0s 811us/step - loss: 0.5575
Epoch 53/150
77/77 [==============================] - 0s 609us/step - loss: 0.5563
Epoch 54/150
77/77 [==============================] - 0s 812us/step - loss: 0.5562
Epoch 55/150
77/77 [==============================] - 0s 812us/step - loss: 0.5559
Epoch 56/150
77/77 [==============================] - 0s 811us/step - loss: 0.5551
Epoch 57/150
77/77 [==============================] - 0s 841us/step - loss: 0.5532
Epoch 58/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5529
Epoch 59/150
77/77 [==============================] - 0s 946us/step - loss: 0.5529
Epoch 60/150
77/77 [==============================] - 0s 894us/step - loss: 0.5517
Epoch 61/150
77/77 [==============================] - 0s 920us/step - loss: 0.5533
Epoch 62/150
77/77 [==============================] - 0s 997us/step - loss: 0.5525
Epoch 63/150
77/77 [==============================] - 0s 933us/step - loss: 0.5543
Epoch 64/150
77/77 [==============================] - 0s 907us/step - loss: 0.5525
Epoch 65/150
77/77 [==============================] - 0s 868us/step - loss: 0.5507
Epoch 66/150
77/77 [==============================] - 0s 868us/step - loss: 0.5507
Epoch 67/150
77/77 [==============================] - 0s 881us/step - loss: 0.5496
Epoch 68/150
77/77 [==============================] - 0s 868us/step - loss: 0.5502
Epoch 69/150
77/77 [==============================] - 0s 920us/step - loss: 0.5489
Epoch 70/150
77/77 [==============================] - 0s 920us/step - loss: 0.5489
Epoch 71/150
77/77 [==============================] - 0s 881us/step - loss: 0.5526
Epoch 72/150
77/77 [==============================] - 0s 868us/step - loss: 0.5463
Epoch 73/150
77/77 [==============================] - 0s 894us/step - loss: 0.5483
Epoch 74/150
77/77 [==============================] - 0s 868us/step - loss: 0.5469
Epoch 75/150
77/77 [==============================] - 0s 855us/step - loss: 0.5450
Epoch 76/150
77/77 [==============================] - 0s 881us/step - loss: 0.5463
Epoch 77/150
77/77 [==============================] - 0s 894us/step - loss: 0.5456
Epoch 78/150
77/77 [==============================] - 0s 868us/step - loss: 0.5458
Epoch 79/150
77/77 [==============================] - 0s 868us/step - loss: 0.5459
Epoch 80/150
77/77 [==============================] - 0s 881us/step - loss: 0.5455
Epoch 81/150
77/77 [==============================] - 0s 920us/step - loss: 0.5453
Epoch 82/150
77/77 [==============================] - 0s 894us/step - loss: 0.5421
Epoch 83/150
77/77 [==============================] - 0s 894us/step - loss: 0.5436
Epoch 84/150
77/77 [==============================] - 0s 868us/step - loss: 0.5414
Epoch 85/150
77/77 [==============================] - 0s 920us/step - loss: 0.5418
Epoch 86/150
77/77 [==============================] - 0s 894us/step - loss: 0.5420
Epoch 87/150
77/77 [==============================] - 0s 920us/step - loss: 0.5394
Epoch 88/150
77/77 [==============================] - 0s 868us/step - loss: 0.5414
Epoch 89/150
77/77 [==============================] - 0s 907us/step - loss: 0.5394
Epoch 90/150
77/77 [==============================] - 0s 855us/step - loss: 0.5387
Epoch 91/150
77/77 [==============================] - 0s 894us/step - loss: 0.5388
Epoch 92/150
77/77 [==============================] - 0s 894us/step - loss: 0.5409
Epoch 93/150
77/77 [==============================] - 0s 868us/step - loss: 0.5383
Epoch 94/150
77/77 [==============================] - 0s 881us/step - loss: 0.5390
Epoch 95/150
77/77 [==============================] - 0s 868us/step - loss: 0.5382
Epoch 96/150
77/77 [==============================] - 0s 907us/step - loss: 0.5391
Epoch 97/150
77/77 [==============================] - 0s 829us/step - loss: 0.5364
Epoch 98/150
77/77 [==============================] - 0s 894us/step - loss: 0.5395
Epoch 99/150
77/77 [==============================] - 0s 920us/step - loss: 0.5360
Epoch 100/150
77/77 [==============================] - 0s 881us/step - loss: 0.5405
Epoch 101/150
77/77 [==============================] - 0s 829us/step - loss: 0.5359
Epoch 102/150
77/77 [==============================] - 0s 894us/step - loss: 0.5348
Epoch 103/150
77/77 [==============================] - 0s 894us/step - loss: 0.5346
Epoch 104/150
77/77 [==============================] - 0s 881us/step - loss: 0.5331
Epoch 105/150
77/77 [==============================] - 0s 920us/step - loss: 0.5324
Epoch 106/150
77/77 [==============================] - 0s 842us/step - loss: 0.5336
Epoch 107/150
77/77 [==============================] - 0s 829us/step - loss: 0.5313
Epoch 108/150
77/77 [==============================] - 0s 868us/step - loss: 0.5329
Epoch 109/150
77/77 [==============================] - 0s 842us/step - loss: 0.5326
Epoch 110/150
77/77 [==============================] - 0s 907us/step - loss: 0.5318
Epoch 111/150
77/77 [==============================] - 0s 907us/step - loss: 0.5312
Epoch 112/150
77/77 [==============================] - 0s 881us/step - loss: 0.5316
Epoch 113/150
77/77 [==============================] - 0s 842us/step - loss: 0.5311
Epoch 114/150
77/77 [==============================] - 0s 855us/step - loss: 0.5289
Epoch 115/150
77/77 [==============================] - 0s 868us/step - loss: 0.5324
Epoch 116/150
77/77 [==============================] - 0s 894us/step - loss: 0.5300
Epoch 117/150
77/77 [==============================] - 0s 855us/step - loss: 0.5296
Epoch 118/150
77/77 [==============================] - 0s 868us/step - loss: 0.5297
Epoch 119/150
77/77 [==============================] - 0s 881us/step - loss: 0.5292
Epoch 120/150
77/77 [==============================] - 0s 855us/step - loss: 0.5305
Epoch 121/150
77/77 [==============================] - 0s 868us/step - loss: 0.5298
Epoch 122/150
77/77 [==============================] - 0s 881us/step - loss: 0.5284
Epoch 123/150
77/77 [==============================] - 0s 881us/step - loss: 0.5284
Epoch 124/150
77/77 [==============================] - 0s 868us/step - loss: 0.5270
Epoch 125/150
77/77 [==============================] - 0s 894us/step - loss: 0.5262
Epoch 126/150
77/77 [==============================] - 0s 868us/step - loss: 0.5301
Epoch 127/150
77/77 [==============================] - 0s 920us/step - loss: 0.5302
Epoch 128/150
77/77 [==============================] - 0s 842us/step - loss: 0.5272
Epoch 129/150
77/77 [==============================] - 0s 868us/step - loss: 0.5272
Epoch 130/150
77/77 [==============================] - 0s 881us/step - loss: 0.5276
Epoch 131/150
77/77 [==============================] - 0s 868us/step - loss: 0.5243
Epoch 132/150
77/77 [==============================] - 0s 881us/step - loss: 0.5261
Epoch 133/150
77/77 [==============================] - 0s 842us/step - loss: 0.5258
Epoch 134/150
77/77 [==============================] - 0s 855us/step - loss: 0.5243
Epoch 135/150
77/77 [==============================] - 0s 881us/step - loss: 0.5247
Epoch 136/150
77/77 [==============================] - 0s 868us/step - loss: 0.5246
Epoch 137/150
77/77 [==============================] - 0s 920us/step - loss: 0.5239
Epoch 138/150
77/77 [==============================] - 0s 933us/step - loss: 0.5232
Epoch 139/150
77/77 [==============================] - 0s 868us/step - loss: 0.5229
Epoch 140/150
77/77 [==============================] - 0s 907us/step - loss: 0.5220
Epoch 141/150
77/77 [==============================] - 0s 855us/step - loss: 0.5220
Epoch 142/150
77/77 [==============================] - 0s 868us/step - loss: 0.5208
Epoch 143/150
77/77 [==============================] - 0s 894us/step - loss: 0.5255
Epoch 144/150
77/77 [==============================] - 0s 881us/step - loss: 0.5239
Epoch 145/150
77/77 [==============================] - 0s 894us/step - loss: 0.5191
Epoch 146/150
77/77 [==============================] - 0s 803us/step - loss: 0.5198
Epoch 147/150
77/77 [==============================] - 0s 829us/step - loss: 0.5205
Epoch 148/150
77/77 [==============================] - 0s 894us/step - loss: 0.5212
Epoch 149/150
77/77 [==============================] - 0s 855us/step - loss: 0.5204
Epoch 150/150
77/77 [==============================] - 0s 855us/step - loss: 0.5215
###################################################################### Accuracy: 74.5544534125219
Epoch 1/10
38/38 [==============================] - 0s 1ms/step - loss: 1.0184
Epoch 2/10
38/38 [==============================] - 0s 893us/step - loss: 1.0076
Epoch 3/10
38/38 [==============================] - 0s 892us/step - loss: 0.9607
Epoch 4/10
38/38 [==============================] - 0s 840us/step - loss: 0.8803
Epoch 5/10
38/38 [==============================] - 0s 866us/step - loss: 0.8406
Epoch 6/10
38/38 [==============================] - 0s 709us/step - loss: 0.8188
Epoch 7/10
38/38 [==============================] - 0s 840us/step - loss: 0.7996
Epoch 8/10
38/38 [==============================] - 0s 787us/step - loss: 0.7831
Epoch 9/10
38/38 [==============================] - 0s 840us/step - loss: 0.7683
Epoch 10/10
38/38 [==============================] - 0s 866us/step - loss: 0.7547
###################################################################### Accuracy: 62.025273197634164
Epoch 1/10
39/39 [==============================] - 0s 1ms/step - loss: 0.9848
Epoch 2/10
39/39 [==============================] - 0s 2ms/step - loss: 0.9724
Epoch 3/10
39/39 [==============================] - 0s 1ms/step - loss: 0.9186
Epoch 4/10
39/39 [==============================] - 0s 1ms/step - loss: 0.8075
Epoch 5/10
39/39 [==============================] - 0s 1ms/step - loss: 0.6999
Epoch 6/10
39/39 [==============================] - 0s 2ms/step - loss: 0.6551
Epoch 7/10
39/39 [==============================] - 0s 1ms/step - loss: 0.6441
Epoch 8/10
39/39 [==============================] - 0s 1ms/step - loss: 0.6409
Epoch 9/10
39/39 [==============================] - 0s 1ms/step - loss: 0.6344
Epoch 10/10
39/39 [==============================] - 0s 997us/step - loss: 0.6325
###################################################################### Accuracy: 75.56638101561937
Epoch 1/10
39/39 [==============================] - 0s 1ms/step - loss: 0.9742
Epoch 2/10
39/39 [==============================] - 0s 972us/step - loss: 0.9525
Epoch 3/10
39/39 [==============================] - 0s 869us/step - loss: 0.8762
Epoch 4/10
39/39 [==============================] - 0s 895us/step - loss: 0.7720
Epoch 5/10
39/39 [==============================] - 0s 870us/step - loss: 0.7008
Epoch 6/10
39/39 [==============================] - 0s 895us/step - loss: 0.6626
Epoch 7/10
39/39 [==============================] - 0s 921us/step - loss: 0.6392
Epoch 8/10
39/39 [==============================] - 0s 869us/step - loss: 0.6249
Epoch 9/10
39/39 [==============================] - 0s 921us/step - loss: 0.6172
Epoch 10/10
39/39 [==============================] - 0s 997us/step - loss: 0.6147
###################################################################### Accuracy: 89.56980255485536
Epoch 1/10
39/39 [==============================] - 0s 945us/step - loss: 1.0178
Epoch 2/10
39/39 [==============================] - 0s 921us/step - loss: 1.0038
Epoch 3/10
39/39 [==============================] - 0s 870us/step - loss: 0.9428
Epoch 4/10
39/39 [==============================] - 0s 844us/step - loss: 0.8273
Epoch 5/10
39/39 [==============================] - 0s 972us/step - loss: 0.7153
Epoch 6/10
39/39 [==============================] - 0s 1ms/step - loss: 0.6627
Epoch 7/10
39/39 [==============================] - 0s 921us/step - loss: 0.6485
Epoch 8/10
39/39 [==============================] - 0s 895us/step - loss: 0.6411
Epoch 9/10
39/39 [==============================] - 0s 895us/step - loss: 0.6388
Epoch 10/10
39/39 [==============================] - 0s 895us/step - loss: 0.6366
###################################################################### Accuracy: 72.53640348346285
Epoch 1/10
39/39 [==============================] - 0s 1ms/step - loss: 1.0020
Epoch 2/10
39/39 [==============================] - 0s 869us/step - loss: 0.9959
Epoch 3/10
39/39 [==============================] - 0s 869us/step - loss: 0.9604
Epoch 4/10
39/39 [==============================] - 0s 844us/step - loss: 0.8591
Epoch 5/10
39/39 [==============================] - 0s 818us/step - loss: 0.7355
Epoch 6/10
39/39 [==============================] - 0s 818us/step - loss: 0.6661
Epoch 7/10
39/39 [==============================] - 0s 869us/step - loss: 0.6447
Epoch 8/10
39/39 [==============================] - 0s 895us/step - loss: 0.6376
Epoch 9/10
39/39 [==============================] - 0s 895us/step - loss: 0.6315
Epoch 10/10
39/39 [==============================] - 0s 895us/step - loss: 0.6260
###################################################################### Accuracy: 75.60680497793138
Epoch 1/20
38/38 [==============================] - 0s 1ms/step - loss: 1.0189
Epoch 2/20
38/38 [==============================] - 0s 850us/step - loss: 1.0135
Epoch 3/20
38/38 [==============================] - 0s 840us/step - loss: 0.9807
Epoch 4/20
38/38 [==============================] - 0s 892us/step - loss: 0.8978
Epoch 5/20
38/38 [==============================] - 0s 814us/step - loss: 0.8125
Epoch 6/20
38/38 [==============================] - 0s 814us/step - loss: 0.7416
Epoch 7/20
38/38 [==============================] - 0s 814us/step - loss: 0.6862
Epoch 8/20
38/38 [==============================] - 0s 814us/step - loss: 0.6491
Epoch 9/20
38/38 [==============================] - 0s 840us/step - loss: 0.6322
Epoch 10/20
38/38 [==============================] - 0s 866us/step - loss: 0.6225
Epoch 11/20
38/38 [==============================] - 0s 814us/step - loss: 0.6152
Epoch 12/20
38/38 [==============================] - 0s 1ms/step - loss: 0.6098
Epoch 13/20
38/38 [==============================] - 0s 840us/step - loss: 0.6036
Epoch 14/20
38/38 [==============================] - 0s 866us/step - loss: 0.5994
Epoch 15/20
38/38 [==============================] - 0s 1ms/step - loss: 0.5970
Epoch 16/20
38/38 [==============================] - 0s 1ms/step - loss: 0.5911
Epoch 17/20
38/38 [==============================] - 0s 945us/step - loss: 0.5872
Epoch 18/20
38/38 [==============================] - 0s 892us/step - loss: 0.5847
Epoch 19/20
38/38 [==============================] - 0s 787us/step - loss: 0.5810
Epoch 20/20
38/38 [==============================] - 0s 840us/step - loss: 0.5783
###################################################################### Accuracy: 69.9633629622387
Epoch 1/20
39/39 [==============================] - 0s 1ms/step - loss: 0.9843
Epoch 2/20
39/39 [==============================] - 0s 869us/step - loss: 0.9715
Epoch 3/20
39/39 [==============================] - 0s 911us/step - loss: 0.9370
Epoch 4/20
39/39 [==============================] - 0s 972us/step - loss: 0.8711
Epoch 5/20
39/39 [==============================] - 0s 793us/step - loss: 0.7938
Epoch 6/20
39/39 [==============================] - 0s 844us/step - loss: 0.7254
Epoch 7/20
39/39 [==============================] - 0s 869us/step - loss: 0.6799
Epoch 8/20
39/39 [==============================] - 0s 869us/step - loss: 0.6560
Epoch 9/20
39/39 [==============================] - 0s 895us/step - loss: 0.6408
Epoch 10/20
39/39 [==============================] - 0s 869us/step - loss: 0.6341
Epoch 11/20
39/39 [==============================] - 0s 895us/step - loss: 0.6269
Epoch 12/20
39/39 [==============================] - 0s 869us/step - loss: 0.6225
Epoch 13/20
39/39 [==============================] - 0s 869us/step - loss: 0.6198
Epoch 14/20
39/39 [==============================] - 0s 818us/step - loss: 0.6151
Epoch 15/20
39/39 [==============================] - 0s 869us/step - loss: 0.6128
Epoch 16/20
39/39 [==============================] - 0s 946us/step - loss: 0.6099
Epoch 17/20
39/39 [==============================] - 0s 895us/step - loss: 0.6054
Epoch 18/20
39/39 [==============================] - 0s 844us/step - loss: 0.6066
Epoch 19/20
39/39 [==============================] - 0s 869us/step - loss: 0.6024
Epoch 20/20
39/39 [==============================] - 0s 869us/step - loss: 0.6005
###################################################################### Accuracy: 72.9097036991539
Epoch 1/20
39/39 [==============================] - 0s 1ms/step - loss: 0.9728
Epoch 2/20
39/39 [==============================] - 0s 895us/step - loss: 0.9511
Epoch 3/20
39/39 [==============================] - 0s 895us/step - loss: 0.8832
Epoch 4/20
39/39 [==============================] - 0s 874us/step - loss: 0.7755
Epoch 5/20
39/39 [==============================] - 0s 869us/step - loss: 0.7016
Epoch 6/20
39/39 [==============================] - 0s 844us/step - loss: 0.6596
Epoch 7/20
39/39 [==============================] - 0s 844us/step - loss: 0.6395
Epoch 8/20
39/39 [==============================] - 0s 895us/step - loss: 0.6277
Epoch 9/20
39/39 [==============================] - 0s 895us/step - loss: 0.6237
Epoch 10/20
39/39 [==============================] - 0s 844us/step - loss: 0.6209
Epoch 11/20
39/39 [==============================] - 0s 844us/step - loss: 0.6153
Epoch 12/20
39/39 [==============================] - 0s 844us/step - loss: 0.6122
Epoch 13/20
39/39 [==============================] - 0s 869us/step - loss: 0.6103
Epoch 14/20
39/39 [==============================] - 0s 844us/step - loss: 0.6098
Epoch 15/20
39/39 [==============================] - 0s 869us/step - loss: 0.6070
Epoch 16/20
39/39 [==============================] - 0s 869us/step - loss: 0.6044
Epoch 17/20
39/39 [==============================] - 0s 844us/step - loss: 0.6001
Epoch 18/20
39/39 [==============================] - 0s 869us/step - loss: 0.5992
Epoch 19/20
39/39 [==============================] - 0s 895us/step - loss: 0.5975
Epoch 20/20
39/39 [==============================] - 0s 1ms/step - loss: 0.5958
###################################################################### Accuracy: 89.08371859150722
Epoch 1/20
39/39 [==============================] - 0s 959us/step - loss: 1.0170
Epoch 2/20
39/39 [==============================] - 0s 921us/step - loss: 0.9992
Epoch 3/20
39/39 [==============================] - 0s 844us/step - loss: 0.9337
Epoch 4/20
39/39 [==============================] - 0s 895us/step - loss: 0.8126
Epoch 5/20
39/39 [==============================] - 0s 844us/step - loss: 0.7149
Epoch 6/20
39/39 [==============================] - 0s 869us/step - loss: 0.6683
Epoch 7/20
39/39 [==============================] - 0s 869us/step - loss: 0.6522
Epoch 8/20
39/39 [==============================] - 0s 895us/step - loss: 0.6470
Epoch 9/20
39/39 [==============================] - 0s 895us/step - loss: 0.6429
Epoch 10/20
39/39 [==============================] - 0s 844us/step - loss: 0.6401
Epoch 11/20
39/39 [==============================] - 0s 869us/step - loss: 0.6393
Epoch 12/20
39/39 [==============================] - 0s 869us/step - loss: 0.6337
Epoch 13/20
39/39 [==============================] - 0s 895us/step - loss: 0.6327
Epoch 14/20
39/39 [==============================] - 0s 869us/step - loss: 0.6294
Epoch 15/20
39/39 [==============================] - 0s 921us/step - loss: 0.6282
Epoch 16/20
39/39 [==============================] - 0s 946us/step - loss: 0.6252
Epoch 17/20
39/39 [==============================] - 0s 818us/step - loss: 0.6233
Epoch 18/20
39/39 [==============================] - 0s 844us/step - loss: 0.6224
Epoch 19/20
39/39 [==============================] - 0s 844us/step - loss: 0.6204
Epoch 20/20
39/39 [==============================] - 0s 793us/step - loss: 0.6184
###################################################################### Accuracy: 72.49967968019901
Epoch 1/20
39/39 [==============================] - 0s 1ms/step - loss: 1.0008
Epoch 2/20
39/39 [==============================] - 0s 941us/step - loss: 0.9868
Epoch 3/20
39/39 [==============================] - 0s 844us/step - loss: 0.9383
Epoch 4/20
39/39 [==============================] - 0s 844us/step - loss: 0.8559
Epoch 5/20
39/39 [==============================] - 0s 869us/step - loss: 0.7533
Epoch 6/20
39/39 [==============================] - 0s 895us/step - loss: 0.6798
Epoch 7/20
39/39 [==============================] - 0s 869us/step - loss: 0.6520
Epoch 8/20
39/39 [==============================] - 0s 844us/step - loss: 0.6418
Epoch 9/20
39/39 [==============================] - 0s 895us/step - loss: 0.6370
Epoch 10/20
39/39 [==============================] - 0s 895us/step - loss: 0.6340
Epoch 11/20
39/39 [==============================] - 0s 895us/step - loss: 0.6313
Epoch 12/20
39/39 [==============================] - 0s 972us/step - loss: 0.6278
Epoch 13/20
39/39 [==============================] - 0s 869us/step - loss: 0.6246
Epoch 14/20
39/39 [==============================] - 0s 870us/step - loss: 0.6224
Epoch 15/20
39/39 [==============================] - 0s 793us/step - loss: 0.6203
Epoch 16/20
39/39 [==============================] - 0s 844us/step - loss: 0.6181
Epoch 17/20
39/39 [==============================] - 0s 895us/step - loss: 0.6162
Epoch 18/20
39/39 [==============================] - 0s 844us/step - loss: 0.6129
Epoch 19/20
39/39 [==============================] - 0s 946us/step - loss: 0.6106
Epoch 20/20
39/39 [==============================] - 0s 921us/step - loss: 0.6072
###################################################################### Accuracy: 73.99244253610084
Epoch 1/50
38/38 [==============================] - 0s 917us/step - loss: 1.0182
Epoch 2/50
38/38 [==============================] - 0s 893us/step - loss: 1.0057
Epoch 3/50
38/38 [==============================] - 0s 877us/step - loss: 0.9436
Epoch 4/50
38/38 [==============================] - 0s 892us/step - loss: 0.8180
Epoch 5/50
38/38 [==============================] - 0s 840us/step - loss: 0.7226
Epoch 6/50
38/38 [==============================] - 0s 919us/step - loss: 0.6748
Epoch 7/50
38/38 [==============================] - 0s 866us/step - loss: 0.6500
Epoch 8/50
38/38 [==============================] - 0s 840us/step - loss: 0.6404
Epoch 9/50
38/38 [==============================] - 0s 840us/step - loss: 0.6342
Epoch 10/50
38/38 [==============================] - 0s 840us/step - loss: 0.6293
Epoch 11/50
38/38 [==============================] - 0s 840us/step - loss: 0.6257
Epoch 12/50
38/38 [==============================] - 0s 840us/step - loss: 0.6239
Epoch 13/50
38/38 [==============================] - 0s 866us/step - loss: 0.6217
Epoch 14/50
38/38 [==============================] - 0s 814us/step - loss: 0.6170
Epoch 15/50
38/38 [==============================] - 0s 787us/step - loss: 0.6181
Epoch 16/50
38/38 [==============================] - 0s 840us/step - loss: 0.6130
Epoch 17/50
38/38 [==============================] - 0s 787us/step - loss: 0.6110
Epoch 18/50
38/38 [==============================] - 0s 814us/step - loss: 0.6084
Epoch 19/50
38/38 [==============================] - 0s 866us/step - loss: 0.6057
Epoch 20/50
38/38 [==============================] - 0s 814us/step - loss: 0.6048
Epoch 21/50
38/38 [==============================] - 0s 814us/step - loss: 0.6022
Epoch 22/50
38/38 [==============================] - 0s 814us/step - loss: 0.6013
Epoch 23/50
38/38 [==============================] - 0s 814us/step - loss: 0.5996
Epoch 24/50
38/38 [==============================] - 0s 840us/step - loss: 0.5976
Epoch 25/50
38/38 [==============================] - 0s 866us/step - loss: 0.5960
Epoch 26/50
38/38 [==============================] - 0s 840us/step - loss: 0.5936
Epoch 27/50
38/38 [==============================] - 0s 814us/step - loss: 0.5926
Epoch 28/50
38/38 [==============================] - 0s 814us/step - loss: 0.5919
Epoch 29/50
38/38 [==============================] - 0s 814us/step - loss: 0.5896
Epoch 30/50
38/38 [==============================] - 0s 892us/step - loss: 0.5881
Epoch 31/50
38/38 [==============================] - 0s 787us/step - loss: 0.5873
Epoch 32/50
38/38 [==============================] - 0s 814us/step - loss: 0.5856
Epoch 33/50
38/38 [==============================] - 0s 840us/step - loss: 0.5845
Epoch 34/50
38/38 [==============================] - 0s 919us/step - loss: 0.5843
Epoch 35/50
38/38 [==============================] - 0s 840us/step - loss: 0.5826
Epoch 36/50
38/38 [==============================] - 0s 840us/step - loss: 0.5815
Epoch 37/50
38/38 [==============================] - 0s 840us/step - loss: 0.5806
Epoch 38/50
38/38 [==============================] - 0s 866us/step - loss: 0.5785
Epoch 39/50
38/38 [==============================] - 0s 866us/step - loss: 0.5778
Epoch 40/50
38/38 [==============================] - 0s 892us/step - loss: 0.5770
Epoch 41/50
38/38 [==============================] - 0s 814us/step - loss: 0.5760
Epoch 42/50
38/38 [==============================] - 0s 840us/step - loss: 0.5782
Epoch 43/50
38/38 [==============================] - 0s 892us/step - loss: 0.5742
Epoch 44/50
38/38 [==============================] - 0s 866us/step - loss: 0.5724
Epoch 45/50
38/38 [==============================] - 0s 866us/step - loss: 0.5717
Epoch 46/50
38/38 [==============================] - 0s 788us/step - loss: 0.5720
Epoch 47/50
38/38 [==============================] - 0s 814us/step - loss: 0.5714
Epoch 48/50
38/38 [==============================] - 0s 866us/step - loss: 0.5694
Epoch 49/50
38/38 [==============================] - 0s 892us/step - loss: 0.5687
Epoch 50/50
38/38 [==============================] - 0s 787us/step - loss: 0.5685
###################################################################### Accuracy: 70.55744650859899
Epoch 1/50
39/39 [==============================] - 0s 1ms/step - loss: 0.9840
Epoch 2/50
39/39 [==============================] - 0s 895us/step - loss: 0.9719
Epoch 3/50
39/39 [==============================] - 0s 844us/step - loss: 0.9340
Epoch 4/50
39/39 [==============================] - 0s 869us/step - loss: 0.8519
Epoch 5/50
39/39 [==============================] - 0s 921us/step - loss: 0.7361
Epoch 6/50
39/39 [==============================] - 0s 921us/step - loss: 0.6668
Epoch 7/50
39/39 [==============================] - 0s 844us/step - loss: 0.6393
Epoch 8/50
39/39 [==============================] - 0s 767us/step - loss: 0.6305
Epoch 9/50
39/39 [==============================] - 0s 895us/step - loss: 0.6263
Epoch 10/50
39/39 [==============================] - 0s 895us/step - loss: 0.6160
Epoch 11/50
39/39 [==============================] - 0s 895us/step - loss: 0.6129
Epoch 12/50
39/39 [==============================] - 0s 946us/step - loss: 0.6093
Epoch 13/50
39/39 [==============================] - 0s 946us/step - loss: 0.6060
Epoch 14/50
39/39 [==============================] - 0s 869us/step - loss: 0.6029
Epoch 15/50
39/39 [==============================] - 0s 895us/step - loss: 0.6006
Epoch 16/50
39/39 [==============================] - 0s 869us/step - loss: 0.5965
Epoch 17/50
39/39 [==============================] - 0s 895us/step - loss: 0.5938
Epoch 18/50
39/39 [==============================] - 0s 921us/step - loss: 0.5910
Epoch 19/50
39/39 [==============================] - 0s 921us/step - loss: 0.5905
Epoch 20/50
39/39 [==============================] - 0s 869us/step - loss: 0.5877
Epoch 21/50
39/39 [==============================] - 0s 946us/step - loss: 0.5869
Epoch 22/50
39/39 [==============================] - 0s 946us/step - loss: 0.5855
Epoch 23/50
39/39 [==============================] - 0s 946us/step - loss: 0.5821
Epoch 24/50
39/39 [==============================] - 0s 895us/step - loss: 0.5825
Epoch 25/50
39/39 [==============================] - 0s 895us/step - loss: 0.5807
Epoch 26/50
39/39 [==============================] - 0s 895us/step - loss: 0.5782
Epoch 27/50
39/39 [==============================] - 0s 946us/step - loss: 0.5777
Epoch 28/50
39/39 [==============================] - 0s 895us/step - loss: 0.5756
Epoch 29/50
39/39 [==============================] - 0s 921us/step - loss: 0.5742
Epoch 30/50
39/39 [==============================] - 0s 946us/step - loss: 0.5743
Epoch 31/50
39/39 [==============================] - 0s 972us/step - loss: 0.5739
Epoch 32/50
39/39 [==============================] - 0s 844us/step - loss: 0.5746
Epoch 33/50
39/39 [==============================] - 0s 869us/step - loss: 0.5723
Epoch 34/50
39/39 [==============================] - 0s 844us/step - loss: 0.5718
Epoch 35/50
39/39 [==============================] - 0s 895us/step - loss: 0.5714
Epoch 36/50
39/39 [==============================] - 0s 869us/step - loss: 0.5734
Epoch 37/50
39/39 [==============================] - 0s 844us/step - loss: 0.5719
Epoch 38/50
39/39 [==============================] - 0s 895us/step - loss: 0.5695
Epoch 39/50
39/39 [==============================] - 0s 895us/step - loss: 0.5688
Epoch 40/50
39/39 [==============================] - 0s 895us/step - loss: 0.5680
Epoch 41/50
39/39 [==============================] - 0s 921us/step - loss: 0.5721
Epoch 42/50
39/39 [==============================] - 0s 921us/step - loss: 0.5672
Epoch 43/50
39/39 [==============================] - 0s 921us/step - loss: 0.5660
Epoch 44/50
39/39 [==============================] - 0s 844us/step - loss: 0.5660
Epoch 45/50
39/39 [==============================] - 0s 844us/step - loss: 0.5652
Epoch 46/50
39/39 [==============================] - 0s 895us/step - loss: 0.5658
Epoch 47/50
39/39 [==============================] - 0s 946us/step - loss: 0.5643
Epoch 48/50
39/39 [==============================] - 0s 844us/step - loss: 0.5646
Epoch 49/50
39/39 [==============================] - 0s 946us/step - loss: 0.5637
Epoch 50/50
39/39 [==============================] - 0s 946us/step - loss: 0.5650
###################################################################### Accuracy: 73.30504064299207
Epoch 1/50
39/39 [==============================] - 0s 1ms/step - loss: 0.9707
Epoch 2/50
39/39 [==============================] - 0s 895us/step - loss: 0.9476
Epoch 3/50
39/39 [==============================] - 0s 891us/step - loss: 0.8855
Epoch 4/50
39/39 [==============================] - 0s 895us/step - loss: 0.7729
Epoch 5/50
39/39 [==============================] - 0s 921us/step - loss: 0.6815
Epoch 6/50
39/39 [==============================] - 0s 869us/step - loss: 0.6389
Epoch 7/50
39/39 [==============================] - 0s 844us/step - loss: 0.6300
Epoch 8/50
39/39 [==============================] - 0s 921us/step - loss: 0.6278
Epoch 9/50
39/39 [==============================] - 0s 869us/step - loss: 0.6221
Epoch 10/50
39/39 [==============================] - 0s 895us/step - loss: 0.6202
Epoch 11/50
39/39 [==============================] - 0s 895us/step - loss: 0.6184
Epoch 12/50
39/39 [==============================] - 0s 895us/step - loss: 0.6174
Epoch 13/50
39/39 [==============================] - 0s 895us/step - loss: 0.6146
Epoch 14/50
39/39 [==============================] - 0s 972us/step - loss: 0.6128
Epoch 15/50
39/39 [==============================] - 0s 869us/step - loss: 0.6109
Epoch 16/50
39/39 [==============================] - 0s 895us/step - loss: 0.6090
Epoch 17/50
39/39 [==============================] - 0s 946us/step - loss: 0.6076
Epoch 18/50
39/39 [==============================] - 0s 895us/step - loss: 0.6068
Epoch 19/50
39/39 [==============================] - 0s 869us/step - loss: 0.6052
Epoch 20/50
39/39 [==============================] - 0s 869us/step - loss: 0.6034
Epoch 21/50
39/39 [==============================] - 0s 895us/step - loss: 0.6007
Epoch 22/50
39/39 [==============================] - 0s 895us/step - loss: 0.6024
Epoch 23/50
39/39 [==============================] - 0s 844us/step - loss: 0.6000
Epoch 24/50
39/39 [==============================] - 0s 869us/step - loss: 0.5998
Epoch 25/50
39/39 [==============================] - 0s 921us/step - loss: 0.5977
Epoch 26/50
39/39 [==============================] - 0s 844us/step - loss: 0.5949
Epoch 27/50
39/39 [==============================] - 0s 869us/step - loss: 0.5934
Epoch 28/50
39/39 [==============================] - 0s 895us/step - loss: 0.5940
Epoch 29/50
39/39 [==============================] - 0s 844us/step - loss: 0.5909
Epoch 30/50
39/39 [==============================] - 0s 921us/step - loss: 0.5887
Epoch 31/50
39/39 [==============================] - 0s 869us/step - loss: 0.5865
Epoch 32/50
39/39 [==============================] - 0s 870us/step - loss: 0.5856
Epoch 33/50
39/39 [==============================] - 0s 869us/step - loss: 0.5830
Epoch 34/50
39/39 [==============================] - 0s 895us/step - loss: 0.5809
Epoch 35/50
39/39 [==============================] - 0s 895us/step - loss: 0.5784
Epoch 36/50
39/39 [==============================] - 0s 844us/step - loss: 0.5764
Epoch 37/50
39/39 [==============================] - 0s 869us/step - loss: 0.5753
Epoch 38/50
39/39 [==============================] - 0s 895us/step - loss: 0.5732
Epoch 39/50
39/39 [==============================] - 0s 921us/step - loss: 0.5714
Epoch 40/50
39/39 [==============================] - 0s 2ms/step - loss: 0.5704
Epoch 41/50
39/39 [==============================] - 0s 1ms/step - loss: 0.5694
Epoch 42/50
39/39 [==============================] - 0s 869us/step - loss: 0.5688
Epoch 43/50
39/39 [==============================] - 0s 869us/step - loss: 0.5665
Epoch 44/50
39/39 [==============================] - 0s 844us/step - loss: 0.5674
Epoch 45/50
39/39 [==============================] - 0s 921us/step - loss: 0.5657
Epoch 46/50
39/39 [==============================] - 0s 869us/step - loss: 0.5648
Epoch 47/50
39/39 [==============================] - 0s 895us/step - loss: 0.5646
Epoch 48/50
39/39 [==============================] - 0s 818us/step - loss: 0.5648
Epoch 49/50
39/39 [==============================] - 0s 869us/step - loss: 0.5612
Epoch 50/50
39/39 [==============================] - 0s 895us/step - loss: 0.5634
###################################################################### Accuracy: 88.86099994033823
Epoch 1/50
39/39 [==============================] - 0s 1ms/step - loss: 1.0170
Epoch 2/50
39/39 [==============================] - 0s 869us/step - loss: 1.0023
Epoch 3/50
39/39 [==============================] - 0s 869us/step - loss: 0.9511
Epoch 4/50
39/39 [==============================] - 0s 921us/step - loss: 0.8477
Epoch 5/50
39/39 [==============================] - 0s 895us/step - loss: 0.7411
Epoch 6/50
39/39 [==============================] - 0s 844us/step - loss: 0.6761
Epoch 7/50
39/39 [==============================] - 0s 921us/step - loss: 0.6602
Epoch 8/50
39/39 [==============================] - 0s 818us/step - loss: 0.6544
Epoch 9/50
39/39 [==============================] - 0s 844us/step - loss: 0.6478
Epoch 10/50
39/39 [==============================] - 0s 895us/step - loss: 0.6478
Epoch 11/50
39/39 [==============================] - 0s 895us/step - loss: 0.6424
Epoch 12/50
39/39 [==============================] - 0s 895us/step - loss: 0.6408
Epoch 13/50
39/39 [==============================] - 0s 921us/step - loss: 0.6393
Epoch 14/50
39/39 [==============================] - 0s 895us/step - loss: 0.6356
Epoch 15/50
39/39 [==============================] - 0s 869us/step - loss: 0.6326
Epoch 16/50
39/39 [==============================] - 0s 869us/step - loss: 0.6303
Epoch 17/50
39/39 [==============================] - 0s 844us/step - loss: 0.6278
Epoch 18/50
39/39 [==============================] - 0s 895us/step - loss: 0.6264
Epoch 19/50
39/39 [==============================] - 0s 895us/step - loss: 0.6244
Epoch 20/50
39/39 [==============================] - 0s 921us/step - loss: 0.6244
Epoch 21/50
39/39 [==============================] - 0s 946us/step - loss: 0.6217
Epoch 22/50
39/39 [==============================] - 0s 895us/step - loss: 0.6188
Epoch 23/50
39/39 [==============================] - 0s 844us/step - loss: 0.6171
Epoch 24/50
39/39 [==============================] - 0s 895us/step - loss: 0.6165
Epoch 25/50
39/39 [==============================] - 0s 869us/step - loss: 0.6152
Epoch 26/50
39/39 [==============================] - 0s 895us/step - loss: 0.6132
Epoch 27/50
39/39 [==============================] - 0s 869us/step - loss: 0.6130
Epoch 28/50
39/39 [==============================] - 0s 895us/step - loss: 0.6113
Epoch 29/50
39/39 [==============================] - 0s 921us/step - loss: 0.6101
Epoch 30/50
39/39 [==============================] - 0s 946us/step - loss: 0.6090
Epoch 31/50
39/39 [==============================] - 0s 921us/step - loss: 0.6077
Epoch 32/50
39/39 [==============================] - 0s 921us/step - loss: 0.6077
Epoch 33/50
39/39 [==============================] - 0s 844us/step - loss: 0.6059
Epoch 34/50
39/39 [==============================] - 0s 844us/step - loss: 0.6066
Epoch 35/50
39/39 [==============================] - 0s 844us/step - loss: 0.6047
Epoch 36/50
39/39 [==============================] - 0s 844us/step - loss: 0.6020
Epoch 37/50
39/39 [==============================] - 0s 869us/step - loss: 0.6023
Epoch 38/50
39/39 [==============================] - 0s 869us/step - loss: 0.6011
Epoch 39/50
39/39 [==============================] - 0s 869us/step - loss: 0.6006
Epoch 40/50
39/39 [==============================] - 0s 869us/step - loss: 0.5979
Epoch 41/50
39/39 [==============================] - 0s 818us/step - loss: 0.5983
Epoch 42/50
39/39 [==============================] - 0s 946us/step - loss: 0.5991
Epoch 43/50
39/39 [==============================] - 0s 869us/step - loss: 0.5963
Epoch 44/50
39/39 [==============================] - 0s 895us/step - loss: 0.5963
Epoch 45/50
39/39 [==============================] - 0s 972us/step - loss: 0.5959
Epoch 46/50
39/39 [==============================] - 0s 818us/step - loss: 0.5940
Epoch 47/50
39/39 [==============================] - 0s 895us/step - loss: 0.5951
Epoch 48/50
39/39 [==============================] - 0s 818us/step - loss: 0.5927
Epoch 49/50
39/39 [==============================] - 0s 818us/step - loss: 0.5919
Epoch 50/50
39/39 [==============================] - 0s 895us/step - loss: 0.5933
###################################################################### Accuracy: 72.9310655996997
Epoch 1/50
39/39 [==============================] - 0s 1ms/step - loss: 1.0022
Epoch 2/50
39/39 [==============================] - 0s 921us/step - loss: 0.9965
Epoch 3/50
39/39 [==============================] - 0s 869us/step - loss: 0.9655
Epoch 4/50
39/39 [==============================] - 0s 895us/step - loss: 0.9033
Epoch 5/50
39/39 [==============================] - 0s 895us/step - loss: 0.8460
Epoch 6/50
39/39 [==============================] - 0s 895us/step - loss: 0.8180
Epoch 7/50
39/39 [==============================] - 0s 869us/step - loss: 0.7979
Epoch 8/50
39/39 [==============================] - 0s 844us/step - loss: 0.7807
Epoch 9/50
39/39 [==============================] - 0s 869us/step - loss: 0.7654
Epoch 10/50
39/39 [==============================] - 0s 869us/step - loss: 0.7517
Epoch 11/50
39/39 [==============================] - 0s 895us/step - loss: 0.7409
Epoch 12/50
39/39 [==============================] - 0s 869us/step - loss: 0.7293
Epoch 13/50
39/39 [==============================] - 0s 921us/step - loss: 0.7214
Epoch 14/50
39/39 [==============================] - 0s 869us/step - loss: 0.7128
Epoch 15/50
39/39 [==============================] - 0s 869us/step - loss: 0.7061
Epoch 16/50
39/39 [==============================] - 0s 870us/step - loss: 0.6972
Epoch 17/50
39/39 [==============================] - 0s 844us/step - loss: 0.6899
Epoch 18/50
39/39 [==============================] - 0s 895us/step - loss: 0.6831
Epoch 19/50
39/39 [==============================] - 0s 921us/step - loss: 0.6765
Epoch 20/50
39/39 [==============================] - 0s 869us/step - loss: 0.6711
Epoch 21/50
39/39 [==============================] - 0s 869us/step - loss: 0.6652
Epoch 22/50
39/39 [==============================] - 0s 895us/step - loss: 0.6581
Epoch 23/50
39/39 [==============================] - 0s 895us/step - loss: 0.6562
Epoch 24/50
39/39 [==============================] - 0s 869us/step - loss: 0.6489
Epoch 25/50
39/39 [==============================] - 0s 895us/step - loss: 0.6444
Epoch 26/50
39/39 [==============================] - 0s 895us/step - loss: 0.6396
Epoch 27/50
39/39 [==============================] - 0s 895us/step - loss: 0.6381
Epoch 28/50
39/39 [==============================] - 0s 869us/step - loss: 0.6347
Epoch 29/50
39/39 [==============================] - 0s 921us/step - loss: 0.6288
Epoch 30/50
39/39 [==============================] - 0s 844us/step - loss: 0.6284
Epoch 31/50
39/39 [==============================] - 0s 869us/step - loss: 0.6234
Epoch 32/50
39/39 [==============================] - 0s 869us/step - loss: 0.6194
Epoch 33/50
39/39 [==============================] - 0s 946us/step - loss: 0.6192
Epoch 34/50
39/39 [==============================] - 0s 946us/step - loss: 0.6164
Epoch 35/50
39/39 [==============================] - 0s 921us/step - loss: 0.6126
Epoch 36/50
39/39 [==============================] - 0s 895us/step - loss: 0.6170
Epoch 37/50
39/39 [==============================] - 0s 844us/step - loss: 0.6134
Epoch 38/50
39/39 [==============================] - 0s 946us/step - loss: 0.6094
Epoch 39/50
39/39 [==============================] - 0s 895us/step - loss: 0.6070
Epoch 40/50
39/39 [==============================] - 0s 895us/step - loss: 0.6050
Epoch 41/50
39/39 [==============================] - 0s 895us/step - loss: 0.6012
Epoch 42/50
39/39 [==============================] - 0s 869us/step - loss: 0.5997
Epoch 43/50
39/39 [==============================] - 0s 895us/step - loss: 0.5984
Epoch 44/50
39/39 [==============================] - 0s 921us/step - loss: 0.5971
Epoch 45/50
39/39 [==============================] - 0s 921us/step - loss: 0.5951
Epoch 46/50
39/39 [==============================] - 0s 895us/step - loss: 0.5928
Epoch 47/50
39/39 [==============================] - 0s 869us/step - loss: 0.5917
Epoch 48/50
39/39 [==============================] - 0s 921us/step - loss: 0.5942
Epoch 49/50
39/39 [==============================] - 0s 818us/step - loss: 0.5911
Epoch 50/50
39/39 [==============================] - 0s 818us/step - loss: 0.5881
###################################################################### Accuracy: 76.6475329910678
Epoch 1/100
38/38 [==============================] - 0s 1ms/step - loss: 1.0166
Epoch 2/100
38/38 [==============================] - 0s 866us/step - loss: 0.9986
Epoch 3/100
38/38 [==============================] - 0s 840us/step - loss: 0.9258
Epoch 4/100
38/38 [==============================] - 0s 866us/step - loss: 0.7835
Epoch 5/100
38/38 [==============================] - 0s 840us/step - loss: 0.6698
Epoch 6/100
38/38 [==============================] - 0s 892us/step - loss: 0.6395
Epoch 7/100
38/38 [==============================] - 0s 814us/step - loss: 0.6322
Epoch 8/100
38/38 [==============================] - 0s 840us/step - loss: 0.6240
Epoch 9/100
38/38 [==============================] - 0s 919us/step - loss: 0.6176
Epoch 10/100
38/38 [==============================] - 0s 787us/step - loss: 0.6149
Epoch 11/100
38/38 [==============================] - 0s 787us/step - loss: 0.6106
Epoch 12/100
38/38 [==============================] - 0s 840us/step - loss: 0.6047
Epoch 13/100
38/38 [==============================] - 0s 840us/step - loss: 0.6006
Epoch 14/100
38/38 [==============================] - 0s 866us/step - loss: 0.5976
Epoch 15/100
38/38 [==============================] - 0s 892us/step - loss: 0.5946
Epoch 16/100
38/38 [==============================] - 0s 840us/step - loss: 0.5898
Epoch 17/100
38/38 [==============================] - 0s 892us/step - loss: 0.5876
Epoch 18/100
38/38 [==============================] - 0s 840us/step - loss: 0.5869
Epoch 19/100
38/38 [==============================] - 0s 840us/step - loss: 0.5822
Epoch 20/100
38/38 [==============================] - 0s 814us/step - loss: 0.5799
Epoch 21/100
38/38 [==============================] - 0s 761us/step - loss: 0.5782
Epoch 22/100
38/38 [==============================] - 0s 814us/step - loss: 0.5774
Epoch 23/100
38/38 [==============================] - 0s 814us/step - loss: 0.5756
Epoch 24/100
38/38 [==============================] - 0s 814us/step - loss: 0.5739
Epoch 25/100
38/38 [==============================] - 0s 866us/step - loss: 0.5723
Epoch 26/100
38/38 [==============================] - 0s 892us/step - loss: 0.5701
Epoch 27/100
38/38 [==============================] - 0s 866us/step - loss: 0.5682
Epoch 28/100
38/38 [==============================] - 0s 814us/step - loss: 0.5679
Epoch 29/100
38/38 [==============================] - 0s 866us/step - loss: 0.5666
Epoch 30/100
38/38 [==============================] - 0s 892us/step - loss: 0.5655
Epoch 31/100
38/38 [==============================] - 0s 814us/step - loss: 0.5649
Epoch 32/100
38/38 [==============================] - 0s 814us/step - loss: 0.5641
Epoch 33/100
38/38 [==============================] - 0s 735us/step - loss: 0.5624
Epoch 34/100
38/38 [==============================] - 0s 814us/step - loss: 0.5614
Epoch 35/100
38/38 [==============================] - 0s 787us/step - loss: 0.5598
Epoch 36/100
38/38 [==============================] - 0s 814us/step - loss: 0.5591
Epoch 37/100
38/38 [==============================] - 0s 814us/step - loss: 0.5581
Epoch 38/100
38/38 [==============================] - 0s 814us/step - loss: 0.5567
Epoch 39/100
38/38 [==============================] - 0s 787us/step - loss: 0.5570
Epoch 40/100
38/38 [==============================] - 0s 814us/step - loss: 0.5565
Epoch 41/100
38/38 [==============================] - 0s 866us/step - loss: 0.5546
Epoch 42/100
38/38 [==============================] - 0s 866us/step - loss: 0.5555
Epoch 43/100
38/38 [==============================] - 0s 866us/step - loss: 0.5542
Epoch 44/100
38/38 [==============================] - 0s 814us/step - loss: 0.5533
Epoch 45/100
38/38 [==============================] - 0s 787us/step - loss: 0.5528
Epoch 46/100
38/38 [==============================] - 0s 866us/step - loss: 0.5518
Epoch 47/100
38/38 [==============================] - 0s 814us/step - loss: 0.5515
Epoch 48/100
38/38 [==============================] - 0s 866us/step - loss: 0.5499
Epoch 49/100
38/38 [==============================] - 0s 893us/step - loss: 0.5493
Epoch 50/100
38/38 [==============================] - 0s 866us/step - loss: 0.5487
Epoch 51/100
38/38 [==============================] - 0s 840us/step - loss: 0.5478
Epoch 52/100
38/38 [==============================] - 0s 840us/step - loss: 0.5481
Epoch 53/100
38/38 [==============================] - 0s 814us/step - loss: 0.5491
Epoch 54/100
38/38 [==============================] - 0s 866us/step - loss: 0.5466
Epoch 55/100
38/38 [==============================] - 0s 892us/step - loss: 0.5470
Epoch 56/100
38/38 [==============================] - 0s 840us/step - loss: 0.5461
Epoch 57/100
38/38 [==============================] - 0s 892us/step - loss: 0.5462
Epoch 58/100
38/38 [==============================] - 0s 945us/step - loss: 0.5449
Epoch 59/100
38/38 [==============================] - 0s 840us/step - loss: 0.5440
Epoch 60/100
38/38 [==============================] - 0s 814us/step - loss: 0.5432
Epoch 61/100
38/38 [==============================] - 0s 866us/step - loss: 0.5417
Epoch 62/100
38/38 [==============================] - 0s 840us/step - loss: 0.5409
Epoch 63/100
38/38 [==============================] - 0s 787us/step - loss: 0.5417
Epoch 64/100
38/38 [==============================] - 0s 814us/step - loss: 0.5395
Epoch 65/100
38/38 [==============================] - 0s 840us/step - loss: 0.5395
Epoch 66/100
38/38 [==============================] - 0s 866us/step - loss: 0.5385
Epoch 67/100
38/38 [==============================] - 0s 840us/step - loss: 0.5387
Epoch 68/100
38/38 [==============================] - 0s 761us/step - loss: 0.5372
Epoch 69/100
38/38 [==============================] - 0s 840us/step - loss: 0.5387
Epoch 70/100
38/38 [==============================] - 0s 892us/step - loss: 0.5385
Epoch 71/100
38/38 [==============================] - 0s 787us/step - loss: 0.5374
Epoch 72/100
38/38 [==============================] - 0s 840us/step - loss: 0.5357
Epoch 73/100
38/38 [==============================] - 0s 840us/step - loss: 0.5370
Epoch 74/100
38/38 [==============================] - 0s 840us/step - loss: 0.5366
Epoch 75/100
38/38 [==============================] - 0s 787us/step - loss: 0.5339
Epoch 76/100
38/38 [==============================] - 0s 840us/step - loss: 0.5340
Epoch 77/100
38/38 [==============================] - 0s 840us/step - loss: 0.5355
Epoch 78/100
38/38 [==============================] - 0s 814us/step - loss: 0.5346
Epoch 79/100
38/38 [==============================] - 0s 840us/step - loss: 0.5327
Epoch 80/100
38/38 [==============================] - 0s 866us/step - loss: 0.5324
Epoch 81/100
38/38 [==============================] - 0s 866us/step - loss: 0.5311
Epoch 82/100
38/38 [==============================] - 0s 866us/step - loss: 0.5333
Epoch 83/100
38/38 [==============================] - 0s 840us/step - loss: 0.5310
Epoch 84/100
38/38 [==============================] - 0s 840us/step - loss: 0.5320
Epoch 85/100
38/38 [==============================] - 0s 866us/step - loss: 0.5310
Epoch 86/100
38/38 [==============================] - 0s 840us/step - loss: 0.5314
Epoch 87/100
38/38 [==============================] - 0s 840us/step - loss: 0.5289
Epoch 88/100
38/38 [==============================] - 0s 814us/step - loss: 0.5295
Epoch 89/100
38/38 [==============================] - 0s 787us/step - loss: 0.5291
Epoch 90/100
38/38 [==============================] - 0s 814us/step - loss: 0.5298
Epoch 91/100
38/38 [==============================] - 0s 840us/step - loss: 0.5277
Epoch 92/100
38/38 [==============================] - 0s 866us/step - loss: 0.5267
Epoch 93/100
38/38 [==============================] - 0s 840us/step - loss: 0.5290
Epoch 94/100
38/38 [==============================] - 0s 919us/step - loss: 0.5263
Epoch 95/100
38/38 [==============================] - 0s 866us/step - loss: 0.5278
Epoch 96/100
38/38 [==============================] - 0s 814us/step - loss: 0.5260
Epoch 97/100
38/38 [==============================] - 0s 814us/step - loss: 0.5270
Epoch 98/100
38/38 [==============================] - ETA: 0s - loss: 0.585 - 0s 814us/step - loss: 0.5258
Epoch 99/100
38/38 [==============================] - 0s 866us/step - loss: 0.5259
Epoch 100/100
38/38 [==============================] - 0s 787us/step - loss: 0.5253
###################################################################### Accuracy: 71.88640277092745
Epoch 1/100
39/39 [==============================] - 0s 1ms/step - loss: 0.9822
Epoch 2/100
39/39 [==============================] - 0s 869us/step - loss: 0.9568
Epoch 3/100
39/39 [==============================] - 0s 793us/step - loss: 0.8803
Epoch 4/100
39/39 [==============================] - 0s 870us/step - loss: 0.7689
Epoch 5/100
39/39 [==============================] - 0s 895us/step - loss: 0.6904
Epoch 6/100
39/39 [==============================] - 0s 895us/step - loss: 0.6544
Epoch 7/100
39/39 [==============================] - 0s 895us/step - loss: 0.6410
Epoch 8/100
39/39 [==============================] - 0s 895us/step - loss: 0.6332
Epoch 9/100
39/39 [==============================] - 0s 895us/step - loss: 0.6273
Epoch 10/100
39/39 [==============================] - 0s 869us/step - loss: 0.6239
Epoch 11/100
39/39 [==============================] - 0s 895us/step - loss: 0.6204
Epoch 12/100
39/39 [==============================] - 0s 869us/step - loss: 0.6164
Epoch 13/100
39/39 [==============================] - 0s 844us/step - loss: 0.6126
Epoch 14/100
39/39 [==============================] - 0s 869us/step - loss: 0.6095
Epoch 15/100
39/39 [==============================] - 0s 895us/step - loss: 0.6058
Epoch 16/100
39/39 [==============================] - 0s 921us/step - loss: 0.6024
Epoch 17/100
39/39 [==============================] - 0s 921us/step - loss: 0.5994
Epoch 18/100
39/39 [==============================] - 0s 869us/step - loss: 0.5955
Epoch 19/100
39/39 [==============================] - 0s 895us/step - loss: 0.5927
Epoch 20/100
39/39 [==============================] - 0s 844us/step - loss: 0.5918
Epoch 21/100
39/39 [==============================] - 0s 844us/step - loss: 0.5881
Epoch 22/100
39/39 [==============================] - 0s 818us/step - loss: 0.5882
Epoch 23/100
39/39 [==============================] - 0s 844us/step - loss: 0.5845
Epoch 24/100
39/39 [==============================] - 0s 869us/step - loss: 0.5841
Epoch 25/100
39/39 [==============================] - 0s 895us/step - loss: 0.5815
Epoch 26/100
39/39 [==============================] - 0s 972us/step - loss: 0.5812
Epoch 27/100
39/39 [==============================] - 0s 921us/step - loss: 0.5784
Epoch 28/100
39/39 [==============================] - 0s 921us/step - loss: 0.5770
Epoch 29/100
39/39 [==============================] - 0s 921us/step - loss: 0.5761
Epoch 30/100
39/39 [==============================] - 0s 844us/step - loss: 0.5748
Epoch 31/100
39/39 [==============================] - 0s 818us/step - loss: 0.5744
Epoch 32/100
39/39 [==============================] - 0s 844us/step - loss: 0.5730
Epoch 33/100
39/39 [==============================] - 0s 793us/step - loss: 0.5711
Epoch 34/100
39/39 [==============================] - 0s 844us/step - loss: 0.5719
Epoch 35/100
39/39 [==============================] - 0s 869us/step - loss: 0.5709
Epoch 36/100
39/39 [==============================] - 0s 921us/step - loss: 0.5691
Epoch 37/100
39/39 [==============================] - 0s 921us/step - loss: 0.5696
Epoch 38/100
39/39 [==============================] - 0s 869us/step - loss: 0.5689
Epoch 39/100
39/39 [==============================] - 0s 895us/step - loss: 0.5675
Epoch 40/100
39/39 [==============================] - 0s 921us/step - loss: 0.5683
Epoch 41/100
39/39 [==============================] - 0s 895us/step - loss: 0.5705
Epoch 42/100
39/39 [==============================] - 0s 895us/step - loss: 0.5656
Epoch 43/100
39/39 [==============================] - 0s 921us/step - loss: 0.5649
Epoch 44/100
39/39 [==============================] - 0s 844us/step - loss: 0.5652
Epoch 45/100
39/39 [==============================] - 0s 844us/step - loss: 0.5644
Epoch 46/100
39/39 [==============================] - 0s 946us/step - loss: 0.5674
Epoch 47/100
39/39 [==============================] - 0s 895us/step - loss: 0.5650
Epoch 48/100
39/39 [==============================] - 0s 921us/step - loss: 0.5645
Epoch 49/100
39/39 [==============================] - 0s 895us/step - loss: 0.5636
Epoch 50/100
39/39 [==============================] - 0s 870us/step - loss: 0.5626
Epoch 51/100
39/39 [==============================] - 0s 869us/step - loss: 0.5624
Epoch 52/100
39/39 [==============================] - 0s 946us/step - loss: 0.5622
Epoch 53/100
39/39 [==============================] - 0s 895us/step - loss: 0.5624
Epoch 54/100
39/39 [==============================] - 0s 869us/step - loss: 0.5623
Epoch 55/100
39/39 [==============================] - 0s 895us/step - loss: 0.5629
Epoch 56/100
39/39 [==============================] - 0s 895us/step - loss: 0.5619
Epoch 57/100
39/39 [==============================] - 0s 895us/step - loss: 0.5616
Epoch 58/100
39/39 [==============================] - 0s 895us/step - loss: 0.5643
Epoch 59/100
39/39 [==============================] - 0s 869us/step - loss: 0.5607
Epoch 60/100
39/39 [==============================] - 0s 844us/step - loss: 0.5603
Epoch 61/100
39/39 [==============================] - 0s 946us/step - loss: 0.5581
Epoch 62/100
39/39 [==============================] - 0s 895us/step - loss: 0.5601
Epoch 63/100
39/39 [==============================] - 0s 921us/step - loss: 0.5627
Epoch 64/100
39/39 [==============================] - 0s 869us/step - loss: 0.5610
Epoch 65/100
39/39 [==============================] - 0s 869us/step - loss: 0.5572
Epoch 66/100
39/39 [==============================] - 0s 946us/step - loss: 0.5577
Epoch 67/100
39/39 [==============================] - 0s 869us/step - loss: 0.5559
Epoch 68/100
39/39 [==============================] - 0s 869us/step - loss: 0.5619
Epoch 69/100
39/39 [==============================] - 0s 869us/step - loss: 0.5580
Epoch 70/100
39/39 [==============================] - 0s 946us/step - loss: 0.5617
Epoch 71/100
39/39 [==============================] - 0s 869us/step - loss: 0.5572
Epoch 72/100
39/39 [==============================] - 0s 869us/step - loss: 0.5558
Epoch 73/100
39/39 [==============================] - 0s 895us/step - loss: 0.5567
Epoch 74/100
39/39 [==============================] - 0s 946us/step - loss: 0.5553
Epoch 75/100
39/39 [==============================] - 0s 972us/step - loss: 0.5548
Epoch 76/100
39/39 [==============================] - 0s 844us/step - loss: 0.5526
Epoch 77/100
39/39 [==============================] - 0s 895us/step - loss: 0.5533
Epoch 78/100
39/39 [==============================] - 0s 921us/step - loss: 0.5520
Epoch 79/100
39/39 [==============================] - 0s 844us/step - loss: 0.5533
Epoch 80/100
39/39 [==============================] - 0s 869us/step - loss: 0.5523
Epoch 81/100
39/39 [==============================] - 0s 921us/step - loss: 0.5519
Epoch 82/100
39/39 [==============================] - 0s 895us/step - loss: 0.5545
Epoch 83/100
39/39 [==============================] - 0s 921us/step - loss: 0.5515
Epoch 84/100
39/39 [==============================] - 0s 921us/step - loss: 0.5513
Epoch 85/100
39/39 [==============================] - 0s 869us/step - loss: 0.5514
Epoch 86/100
39/39 [==============================] - 0s 869us/step - loss: 0.5535
Epoch 87/100
39/39 [==============================] - 0s 895us/step - loss: 0.5513
Epoch 88/100
39/39 [==============================] - 0s 921us/step - loss: 0.5489
Epoch 89/100
39/39 [==============================] - 0s 895us/step - loss: 0.5498
Epoch 90/100
39/39 [==============================] - 0s 972us/step - loss: 0.5521
Epoch 91/100
39/39 [==============================] - 0s 869us/step - loss: 0.5505
Epoch 92/100
39/39 [==============================] - 0s 793us/step - loss: 0.5477
Epoch 93/100
39/39 [==============================] - 0s 844us/step - loss: 0.5478
Epoch 94/100
39/39 [==============================] - 0s 895us/step - loss: 0.5496
Epoch 95/100
39/39 [==============================] - 0s 869us/step - loss: 0.5479
Epoch 96/100
39/39 [==============================] - 0s 895us/step - loss: 0.5474
Epoch 97/100
39/39 [==============================] - 0s 921us/step - loss: 0.5477
Epoch 98/100
39/39 [==============================] - 0s 895us/step - loss: 0.5514
Epoch 99/100
39/39 [==============================] - 0s 895us/step - loss: 0.5480
Epoch 100/100
39/39 [==============================] - 0s 869us/step - loss: 0.5467
###################################################################### Accuracy: 75.63679144155404
Epoch 1/100
39/39 [==============================] - 0s 934us/step - loss: 0.9762
Epoch 2/100
39/39 [==============================] - 0s 921us/step - loss: 0.9660
Epoch 3/100
39/39 [==============================] - 0s 844us/step - loss: 0.9264
Epoch 4/100
39/39 [==============================] - 0s 845us/step - loss: 0.8455
Epoch 5/100
39/39 [==============================] - 0s 869us/step - loss: 0.7464
Epoch 6/100
39/39 [==============================] - 0s 895us/step - loss: 0.6747
Epoch 7/100
39/39 [==============================] - 0s 870us/step - loss: 0.6423
Epoch 8/100
39/39 [==============================] - 0s 946us/step - loss: 0.6326
Epoch 9/100
39/39 [==============================] - 0s 869us/step - loss: 0.6285
Epoch 10/100
39/39 [==============================] - 0s 869us/step - loss: 0.6276
Epoch 11/100
39/39 [==============================] - 0s 818us/step - loss: 0.6242
Epoch 12/100
39/39 [==============================] - 0s 818us/step - loss: 0.6226
Epoch 13/100
39/39 [==============================] - ETA: 0s - loss: 0.256 - 0s 895us/step - loss: 0.6205
Epoch 14/100
39/39 [==============================] - 0s 869us/step - loss: 0.6167
Epoch 15/100
39/39 [==============================] - 0s 869us/step - loss: 0.6159
Epoch 16/100
39/39 [==============================] - 0s 946us/step - loss: 0.6147
Epoch 17/100
39/39 [==============================] - 0s 895us/step - loss: 0.6108
Epoch 18/100
39/39 [==============================] - 0s 818us/step - loss: 0.6086
Epoch 19/100
39/39 [==============================] - 0s 844us/step - loss: 0.6057
Epoch 20/100
39/39 [==============================] - 0s 818us/step - loss: 0.6036
Epoch 21/100
39/39 [==============================] - 0s 767us/step - loss: 0.5993
Epoch 22/100
39/39 [==============================] - 0s 844us/step - loss: 0.5990
Epoch 23/100
39/39 [==============================] - 0s 895us/step - loss: 0.5957
Epoch 24/100
39/39 [==============================] - 0s 869us/step - loss: 0.5934
Epoch 25/100
39/39 [==============================] - 0s 869us/step - loss: 0.5924
Epoch 26/100
39/39 [==============================] - 0s 869us/step - loss: 0.5899
Epoch 27/100
39/39 [==============================] - 0s 921us/step - loss: 0.5887
Epoch 28/100
39/39 [==============================] - 0s 1ms/step - loss: 0.5875
Epoch 29/100
39/39 [==============================] - 0s 921us/step - loss: 0.5838
Epoch 30/100
39/39 [==============================] - 0s 895us/step - loss: 0.5819
Epoch 31/100
39/39 [==============================] - 0s 818us/step - loss: 0.5810
Epoch 32/100
39/39 [==============================] - 0s 793us/step - loss: 0.5814
Epoch 33/100
39/39 [==============================] - 0s 921us/step - loss: 0.5781
Epoch 34/100
39/39 [==============================] - 0s 946us/step - loss: 0.5764
Epoch 35/100
39/39 [==============================] - 0s 946us/step - loss: 0.5746
Epoch 36/100
39/39 [==============================] - 0s 895us/step - loss: 0.5744
Epoch 37/100
39/39 [==============================] - 0s 972us/step - loss: 0.5738
Epoch 38/100
39/39 [==============================] - 0s 1ms/step - loss: 0.5725
Epoch 39/100
39/39 [==============================] - 0s 869us/step - loss: 0.5712
Epoch 40/100
39/39 [==============================] - 0s 818us/step - loss: 0.5715
Epoch 41/100
39/39 [==============================] - 0s 844us/step - loss: 0.5687
Epoch 42/100
39/39 [==============================] - 0s 895us/step - loss: 0.5669
Epoch 43/100
39/39 [==============================] - 0s 869us/step - loss: 0.5687
Epoch 44/100
39/39 [==============================] - 0s 895us/step - loss: 0.5651
Epoch 45/100
39/39 [==============================] - 0s 921us/step - loss: 0.5652
Epoch 46/100
39/39 [==============================] - 0s 895us/step - loss: 0.5656
Epoch 47/100
39/39 [==============================] - 0s 895us/step - loss: 0.5636
Epoch 48/100
39/39 [==============================] - 0s 869us/step - loss: 0.5641
Epoch 49/100
39/39 [==============================] - 0s 869us/step - loss: 0.5651
Epoch 50/100
39/39 [==============================] - 0s 869us/step - loss: 0.5639
Epoch 51/100
39/39 [==============================] - 0s 870us/step - loss: 0.5604
Epoch 52/100
39/39 [==============================] - 0s 844us/step - loss: 0.5600
Epoch 53/100
39/39 [==============================] - 0s 921us/step - loss: 0.5606
Epoch 54/100
39/39 [==============================] - 0s 869us/step - loss: 0.5589
Epoch 55/100
39/39 [==============================] - 0s 895us/step - loss: 0.5586
Epoch 56/100
39/39 [==============================] - 0s 844us/step - loss: 0.5598
Epoch 57/100
39/39 [==============================] - 0s 921us/step - loss: 0.5587
Epoch 58/100
39/39 [==============================] - 0s 844us/step - loss: 0.5570
Epoch 59/100
39/39 [==============================] - 0s 844us/step - loss: 0.5574
Epoch 60/100
39/39 [==============================] - 0s 921us/step - loss: 0.5581
Epoch 61/100
39/39 [==============================] - 0s 844us/step - loss: 0.5561
Epoch 62/100
39/39 [==============================] - 0s 895us/step - loss: 0.5555
Epoch 63/100
39/39 [==============================] - 0s 818us/step - loss: 0.5548
Epoch 64/100
39/39 [==============================] - 0s 869us/step - loss: 0.5545
Epoch 65/100
39/39 [==============================] - 0s 895us/step - loss: 0.5532
Epoch 66/100
39/39 [==============================] - 0s 895us/step - loss: 0.5545
Epoch 67/100
39/39 [==============================] - 0s 869us/step - loss: 0.5529
Epoch 68/100
39/39 [==============================] - 0s 869us/step - loss: 0.5535
Epoch 69/100
39/39 [==============================] - 0s 870us/step - loss: 0.5508
Epoch 70/100
39/39 [==============================] - 0s 895us/step - loss: 0.5517
Epoch 71/100
39/39 [==============================] - 0s 895us/step - loss: 0.5509
Epoch 72/100
39/39 [==============================] - 0s 844us/step - loss: 0.5527
Epoch 73/100
39/39 [==============================] - 0s 844us/step - loss: 0.5591
Epoch 74/100
39/39 [==============================] - 0s 869us/step - loss: 0.5506
Epoch 75/100
39/39 [==============================] - 0s 869us/step - loss: 0.5502
Epoch 76/100
39/39 [==============================] - 0s 921us/step - loss: 0.5487
Epoch 77/100
39/39 [==============================] - 0s 844us/step - loss: 0.5492
Epoch 78/100
39/39 [==============================] - 0s 869us/step - loss: 0.5519
Epoch 79/100
39/39 [==============================] - 0s 895us/step - loss: 0.5498
Epoch 80/100
39/39 [==============================] - 0s 844us/step - loss: 0.5465
Epoch 81/100
39/39 [==============================] - 0s 895us/step - loss: 0.5472
Epoch 82/100
39/39 [==============================] - 0s 844us/step - loss: 0.5466
Epoch 83/100
39/39 [==============================] - 0s 869us/step - loss: 0.5466
Epoch 84/100
39/39 [==============================] - 0s 921us/step - loss: 0.5458
Epoch 85/100
39/39 [==============================] - 0s 895us/step - loss: 0.5493
Epoch 86/100
39/39 [==============================] - 0s 895us/step - loss: 0.5442
Epoch 87/100
39/39 [==============================] - 0s 921us/step - loss: 0.5451
Epoch 88/100
39/39 [==============================] - 0s 1ms/step - loss: 0.5438
Epoch 89/100
39/39 [==============================] - 0s 895us/step - loss: 0.5441
Epoch 90/100
39/39 [==============================] - 0s 767us/step - loss: 0.5430
Epoch 91/100
39/39 [==============================] - 0s 844us/step - loss: 0.5425
Epoch 92/100
39/39 [==============================] - 0s 844us/step - loss: 0.5423
Epoch 93/100
39/39 [==============================] - 0s 895us/step - loss: 0.5434
Epoch 94/100
39/39 [==============================] - 0s 869us/step - loss: 0.5416
Epoch 95/100
39/39 [==============================] - 0s 921us/step - loss: 0.5435
Epoch 96/100
39/39 [==============================] - 0s 869us/step - loss: 0.5407
Epoch 97/100
39/39 [==============================] - 0s 844us/step - loss: 0.5407
Epoch 98/100
39/39 [==============================] - 0s 818us/step - loss: 0.5392
Epoch 99/100
39/39 [==============================] - 0s 818us/step - loss: 0.5407
Epoch 100/100
39/39 [==============================] - 0s 869us/step - loss: 0.5408
###################################################################### Accuracy: 89.80237776625765
Epoch 1/100
39/39 [==============================] - 0s 1ms/step - loss: 1.0167
Epoch 2/100
39/39 [==============================] - 0s 844us/step - loss: 0.9984
Epoch 3/100
39/39 [==============================] - 0s 870us/step - loss: 0.9309
Epoch 4/100
39/39 [==============================] - 0s 921us/step - loss: 0.8166
Epoch 5/100
39/39 [==============================] - 0s 921us/step - loss: 0.7091
Epoch 6/100
39/39 [==============================] - 0s 869us/step - loss: 0.6590
Epoch 7/100
39/39 [==============================] - 0s 921us/step - loss: 0.6419
Epoch 8/100
39/39 [==============================] - 0s 895us/step - loss: 0.6363
Epoch 9/100
39/39 [==============================] - 0s 844us/step - loss: 0.6343
Epoch 10/100
39/39 [==============================] - 0s 818us/step - loss: 0.6282
Epoch 11/100
39/39 [==============================] - 0s 818us/step - loss: 0.6264
Epoch 12/100
39/39 [==============================] - 0s 844us/step - loss: 0.6237
Epoch 13/100
39/39 [==============================] - 0s 844us/step - loss: 0.6253
Epoch 14/100
39/39 [==============================] - 0s 869us/step - loss: 0.6221
Epoch 15/100
39/39 [==============================] - 0s 869us/step - loss: 0.6201
Epoch 16/100
39/39 [==============================] - 0s 869us/step - loss: 0.6185
Epoch 17/100
39/39 [==============================] - 0s 869us/step - loss: 0.6181
Epoch 18/100
39/39 [==============================] - 0s 921us/step - loss: 0.6163
Epoch 19/100
39/39 [==============================] - 0s 818us/step - loss: 0.6156
Epoch 20/100
39/39 [==============================] - 0s 869us/step - loss: 0.6144
Epoch 21/100
39/39 [==============================] - 0s 793us/step - loss: 0.6133
Epoch 22/100
39/39 [==============================] - 0s 793us/step - loss: 0.6121
Epoch 23/100
39/39 [==============================] - 0s 844us/step - loss: 0.6097
Epoch 24/100
39/39 [==============================] - 0s 869us/step - loss: 0.6080
Epoch 25/100
39/39 [==============================] - 0s 818us/step - loss: 0.6076
Epoch 26/100
39/39 [==============================] - 0s 844us/step - loss: 0.6129
Epoch 27/100
39/39 [==============================] - 0s 869us/step - loss: 0.6074
Epoch 28/100
39/39 [==============================] - 0s 921us/step - loss: 0.6062
Epoch 29/100
39/39 [==============================] - 0s 844us/step - loss: 0.6053
Epoch 30/100
39/39 [==============================] - 0s 793us/step - loss: 0.6039
Epoch 31/100
39/39 [==============================] - 0s 895us/step - loss: 0.6061
Epoch 32/100
39/39 [==============================] - 0s 869us/step - loss: 0.6019
Epoch 33/100
39/39 [==============================] - 0s 895us/step - loss: 0.6008
Epoch 34/100
39/39 [==============================] - 0s 972us/step - loss: 0.5987
Epoch 35/100
39/39 [==============================] - 0s 869us/step - loss: 0.5983
Epoch 36/100
39/39 [==============================] - 0s 869us/step - loss: 0.5989
Epoch 37/100
39/39 [==============================] - 0s 2ms/step - loss: 0.5969
Epoch 38/100
39/39 [==============================] - 0s 1ms/step - loss: 0.5982
Epoch 39/100
39/39 [==============================] - 0s 946us/step - loss: 0.5950
Epoch 40/100
39/39 [==============================] - 0s 946us/step - loss: 0.5942
Epoch 41/100
39/39 [==============================] - 0s 869us/step - loss: 0.5931
Epoch 42/100
39/39 [==============================] - 0s 921us/step - loss: 0.5940
Epoch 43/100
39/39 [==============================] - 0s 869us/step - loss: 0.5933
Epoch 44/100
39/39 [==============================] - 0s 844us/step - loss: 0.5936
Epoch 45/100
39/39 [==============================] - 0s 869us/step - loss: 0.5902
Epoch 46/100
39/39 [==============================] - 0s 921us/step - loss: 0.5915
Epoch 47/100
39/39 [==============================] - 0s 869us/step - loss: 0.5929
Epoch 48/100
39/39 [==============================] - 0s 895us/step - loss: 0.5935
Epoch 49/100
39/39 [==============================] - 0s 921us/step - loss: 0.5896
Epoch 50/100
39/39 [==============================] - 0s 844us/step - loss: 0.5875
Epoch 51/100
39/39 [==============================] - 0s 844us/step - loss: 0.5876
Epoch 52/100
39/39 [==============================] - 0s 869us/step - loss: 0.5863
Epoch 53/100
39/39 [==============================] - 0s 921us/step - loss: 0.5860
Epoch 54/100
39/39 [==============================] - 0s 844us/step - loss: 0.5860
Epoch 55/100
39/39 [==============================] - 0s 818us/step - loss: 0.5850
Epoch 56/100
39/39 [==============================] - 0s 869us/step - loss: 0.5843
Epoch 57/100
39/39 [==============================] - 0s 869us/step - loss: 0.5833
Epoch 58/100
39/39 [==============================] - 0s 869us/step - loss: 0.5828
Epoch 59/100
39/39 [==============================] - 0s 844us/step - loss: 0.5827
Epoch 60/100
39/39 [==============================] - 0s 844us/step - loss: 0.5819
Epoch 61/100
39/39 [==============================] - 0s 869us/step - loss: 0.5816
Epoch 62/100
39/39 [==============================] - 0s 895us/step - loss: 0.5812
Epoch 63/100
39/39 [==============================] - 0s 818us/step - loss: 0.5808
Epoch 64/100
39/39 [==============================] - 0s 869us/step - loss: 0.5816
Epoch 65/100
39/39 [==============================] - 0s 844us/step - loss: 0.5797
Epoch 66/100
39/39 [==============================] - 0s 869us/step - loss: 0.5812
Epoch 67/100
39/39 [==============================] - 0s 921us/step - loss: 0.5792
Epoch 68/100
39/39 [==============================] - 0s 844us/step - loss: 0.5803
Epoch 69/100
39/39 [==============================] - 0s 844us/step - loss: 0.5784
Epoch 70/100
39/39 [==============================] - 0s 844us/step - loss: 0.5792
Epoch 71/100
39/39 [==============================] - 0s 895us/step - loss: 0.5777
Epoch 72/100
39/39 [==============================] - 0s 895us/step - loss: 0.5763
Epoch 73/100
39/39 [==============================] - 0s 818us/step - loss: 0.5762
Epoch 74/100
39/39 [==============================] - 0s 869us/step - loss: 0.5758
Epoch 75/100
39/39 [==============================] - 0s 895us/step - loss: 0.5768
Epoch 76/100
39/39 [==============================] - 0s 895us/step - loss: 0.5797
Epoch 77/100
39/39 [==============================] - 0s 869us/step - loss: 0.5785
Epoch 78/100
39/39 [==============================] - 0s 921us/step - loss: 0.5748
Epoch 79/100
39/39 [==============================] - 0s 818us/step - loss: 0.5748
Epoch 80/100
39/39 [==============================] - 0s 844us/step - loss: 0.5740
Epoch 81/100
39/39 [==============================] - 0s 869us/step - loss: 0.5749
Epoch 82/100
39/39 [==============================] - 0s 895us/step - loss: 0.5736
Epoch 83/100
39/39 [==============================] - 0s 921us/step - loss: 0.5729
Epoch 84/100
39/39 [==============================] - 0s 793us/step - loss: 0.5727
Epoch 85/100
39/39 [==============================] - 0s 793us/step - loss: 0.5737
Epoch 86/100
39/39 [==============================] - 0s 946us/step - loss: 0.5703
Epoch 87/100
39/39 [==============================] - 0s 869us/step - loss: 0.5709
Epoch 88/100
39/39 [==============================] - 0s 869us/step - loss: 0.5716
Epoch 89/100
39/39 [==============================] - 0s 869us/step - loss: 0.5690
Epoch 90/100
39/39 [==============================] - 0s 921us/step - loss: 0.5689
Epoch 91/100
39/39 [==============================] - 0s 946us/step - loss: 0.5706
Epoch 92/100
39/39 [==============================] - 0s 844us/step - loss: 0.5695
Epoch 93/100
39/39 [==============================] - 0s 844us/step - loss: 0.5683
Epoch 94/100
39/39 [==============================] - 0s 869us/step - loss: 0.5669
Epoch 95/100
39/39 [==============================] - 0s 869us/step - loss: 0.5699
Epoch 96/100
39/39 [==============================] - 0s 844us/step - loss: 0.5677
Epoch 97/100
39/39 [==============================] - 0s 869us/step - loss: 0.5660
Epoch 98/100
39/39 [==============================] - 0s 895us/step - loss: 0.5659
Epoch 99/100
39/39 [==============================] - 0s 869us/step - loss: 0.5675
Epoch 100/100
39/39 [==============================] - 0s 869us/step - loss: 0.5704
###################################################################### Accuracy: 67.59906662763632
Epoch 1/100
39/39 [==============================] - 0s 978us/step - loss: 1.0014
Epoch 2/100
39/39 [==============================] - 0s 869us/step - loss: 0.9907
Epoch 3/100
39/39 [==============================] - 0s 870us/step - loss: 0.9520
Epoch 4/100
39/39 [==============================] - 0s 845us/step - loss: 0.8471
Epoch 5/100
39/39 [==============================] - 0s 895us/step - loss: 0.7202
Epoch 6/100
39/39 [==============================] - 0s 793us/step - loss: 0.6613
Epoch 7/100
39/39 [==============================] - 0s 844us/step - loss: 0.6454
Epoch 8/100
39/39 [==============================] - 0s 844us/step - loss: 0.6363
Epoch 9/100
39/39 [==============================] - 0s 895us/step - loss: 0.6306
Epoch 10/100
39/39 [==============================] - 0s 895us/step - loss: 0.6256
Epoch 11/100
39/39 [==============================] - 0s 946us/step - loss: 0.6224
Epoch 12/100
39/39 [==============================] - 0s 921us/step - loss: 0.6193
Epoch 13/100
39/39 [==============================] - 0s 869us/step - loss: 0.6168
Epoch 14/100
39/39 [==============================] - 0s 921us/step - loss: 0.6133
Epoch 15/100
39/39 [==============================] - 0s 869us/step - loss: 0.6113
Epoch 16/100
39/39 [==============================] - 0s 844us/step - loss: 0.6080
Epoch 17/100
39/39 [==============================] - 0s 818us/step - loss: 0.6056
Epoch 18/100
39/39 [==============================] - 0s 869us/step - loss: 0.6038
Epoch 19/100
39/39 [==============================] - 0s 818us/step - loss: 0.6012
Epoch 20/100
39/39 [==============================] - 0s 869us/step - loss: 0.5992
Epoch 21/100
39/39 [==============================] - 0s 869us/step - loss: 0.5984
Epoch 22/100
39/39 [==============================] - 0s 895us/step - loss: 0.5954
Epoch 23/100
39/39 [==============================] - 0s 895us/step - loss: 0.5948
Epoch 24/100
39/39 [==============================] - 0s 921us/step - loss: 0.5942
Epoch 25/100
39/39 [==============================] - 0s 921us/step - loss: 0.5916
Epoch 26/100
39/39 [==============================] - 0s 921us/step - loss: 0.5908
Epoch 27/100
39/39 [==============================] - 0s 869us/step - loss: 0.5890
Epoch 28/100
39/39 [==============================] - 0s 844us/step - loss: 0.5881
Epoch 29/100
39/39 [==============================] - 0s 895us/step - loss: 0.5867
Epoch 30/100
39/39 [==============================] - 0s 844us/step - loss: 0.5859
Epoch 31/100
39/39 [==============================] - 0s 869us/step - loss: 0.5853
Epoch 32/100
39/39 [==============================] - 0s 818us/step - loss: 0.5829
Epoch 33/100
39/39 [==============================] - 0s 946us/step - loss: 0.5813
Epoch 34/100
39/39 [==============================] - 0s 844us/step - loss: 0.5798
Epoch 35/100
39/39 [==============================] - 0s 869us/step - loss: 0.5784
Epoch 36/100
39/39 [==============================] - 0s 869us/step - loss: 0.5785
Epoch 37/100
39/39 [==============================] - 0s 895us/step - loss: 0.5767
Epoch 38/100
39/39 [==============================] - 0s 844us/step - loss: 0.5761
Epoch 39/100
39/39 [==============================] - 0s 869us/step - loss: 0.5760
Epoch 40/100
39/39 [==============================] - 0s 869us/step - loss: 0.5737
Epoch 41/100
39/39 [==============================] - 0s 895us/step - loss: 0.5741
Epoch 42/100
39/39 [==============================] - 0s 869us/step - loss: 0.5734
Epoch 43/100
39/39 [==============================] - 0s 869us/step - loss: 0.5738
Epoch 44/100
39/39 [==============================] - 0s 895us/step - loss: 0.5708
Epoch 45/100
39/39 [==============================] - 0s 972us/step - loss: 0.5701
Epoch 46/100
39/39 [==============================] - 0s 869us/step - loss: 0.5694
Epoch 47/100
39/39 [==============================] - 0s 895us/step - loss: 0.5691
Epoch 48/100
39/39 [==============================] - 0s 921us/step - loss: 0.5692
Epoch 49/100
39/39 [==============================] - 0s 844us/step - loss: 0.5704
Epoch 50/100
39/39 [==============================] - 0s 869us/step - loss: 0.5689
Epoch 51/100
39/39 [==============================] - 0s 921us/step - loss: 0.5666
Epoch 52/100
39/39 [==============================] - 0s 844us/step - loss: 0.5655
Epoch 53/100
39/39 [==============================] - 0s 895us/step - loss: 0.5659
Epoch 54/100
39/39 [==============================] - 0s 869us/step - loss: 0.5639
Epoch 55/100
39/39 [==============================] - 0s 869us/step - loss: 0.5625
Epoch 56/100
39/39 [==============================] - 0s 895us/step - loss: 0.5616
Epoch 57/100
39/39 [==============================] - 0s 921us/step - loss: 0.5603
Epoch 58/100
39/39 [==============================] - 0s 818us/step - loss: 0.5614
Epoch 59/100
39/39 [==============================] - 0s 869us/step - loss: 0.5602
Epoch 60/100
39/39 [==============================] - 0s 921us/step - loss: 0.5589
Epoch 61/100
39/39 [==============================] - 0s 895us/step - loss: 0.5584
Epoch 62/100
39/39 [==============================] - 0s 844us/step - loss: 0.5637
Epoch 63/100
39/39 [==============================] - 0s 869us/step - loss: 0.5564
Epoch 64/100
39/39 [==============================] - 0s 869us/step - loss: 0.5573
Epoch 65/100
39/39 [==============================] - 0s 895us/step - loss: 0.5568
Epoch 66/100
39/39 [==============================] - 0s 921us/step - loss: 0.5587
Epoch 67/100
39/39 [==============================] - 0s 844us/step - loss: 0.5552
Epoch 68/100
39/39 [==============================] - 0s 869us/step - loss: 0.5534
Epoch 69/100
39/39 [==============================] - 0s 869us/step - loss: 0.5522
Epoch 70/100
39/39 [==============================] - 0s 895us/step - loss: 0.5521
Epoch 71/100
39/39 [==============================] - 0s 921us/step - loss: 0.5547
Epoch 72/100
39/39 [==============================] - 0s 869us/step - loss: 0.5508
Epoch 73/100
39/39 [==============================] - 0s 870us/step - loss: 0.5508
Epoch 74/100
39/39 [==============================] - 0s 869us/step - loss: 0.5527
Epoch 75/100
39/39 [==============================] - 0s 895us/step - loss: 0.5494
Epoch 76/100
39/39 [==============================] - 0s 895us/step - loss: 0.5484
Epoch 77/100
39/39 [==============================] - 0s 895us/step - loss: 0.5473
Epoch 78/100
39/39 [==============================] - 0s 895us/step - loss: 0.5473
Epoch 79/100
39/39 [==============================] - 0s 869us/step - loss: 0.5549
Epoch 80/100
39/39 [==============================] - 0s 869us/step - loss: 0.5484
Epoch 81/100
39/39 [==============================] - 0s 921us/step - loss: 0.5451
Epoch 82/100
39/39 [==============================] - 0s 921us/step - loss: 0.5455
Epoch 83/100
39/39 [==============================] - 0s 844us/step - loss: 0.5438
Epoch 84/100
39/39 [==============================] - 0s 895us/step - loss: 0.5434
Epoch 85/100
39/39 [==============================] - 0s 895us/step - loss: 0.5426
Epoch 86/100
39/39 [==============================] - 0s 818us/step - loss: 0.5437
Epoch 87/100
39/39 [==============================] - 0s 921us/step - loss: 0.5430
Epoch 88/100
39/39 [==============================] - 0s 869us/step - loss: 0.5464
Epoch 89/100
39/39 [==============================] - 0s 895us/step - loss: 0.5422
Epoch 90/100
39/39 [==============================] - 0s 895us/step - loss: 0.5402
Epoch 91/100
39/39 [==============================] - 0s 895us/step - loss: 0.5411
Epoch 92/100
39/39 [==============================] - 0s 869us/step - loss: 0.5395
Epoch 93/100
39/39 [==============================] - 0s 869us/step - loss: 0.5387
Epoch 94/100
39/39 [==============================] - 0s 870us/step - loss: 0.5437
Epoch 95/100
39/39 [==============================] - 0s 895us/step - loss: 0.5417
Epoch 96/100
39/39 [==============================] - 0s 818us/step - loss: 0.5390
Epoch 97/100
39/39 [==============================] - 0s 921us/step - loss: 0.5382
Epoch 98/100
39/39 [==============================] - 0s 921us/step - loss: 0.5363
Epoch 99/100
39/39 [==============================] - 0s 921us/step - loss: 0.5353
Epoch 100/100
39/39 [==============================] - 0s 921us/step - loss: 0.5350
###################################################################### Accuracy: 74.11572183785381
Epoch 1/150
38/38 [==============================] - 0s 1ms/step - loss: 1.0165
Epoch 2/150
38/38 [==============================] - 0s 840us/step - loss: 1.0010
Epoch 3/150
38/38 [==============================] - 0s 866us/step - loss: 0.9399
Epoch 4/150
38/38 [==============================] - 0s 814us/step - loss: 0.8228
Epoch 5/150
38/38 [==============================] - 0s 814us/step - loss: 0.7085
Epoch 6/150
38/38 [==============================] - 0s 840us/step - loss: 0.6538
Epoch 7/150
38/38 [==============================] - 0s 892us/step - loss: 0.6414
Epoch 8/150
38/38 [==============================] - 0s 814us/step - loss: 0.6387
Epoch 9/150
38/38 [==============================] - 0s 892us/step - loss: 0.6329
Epoch 10/150
38/38 [==============================] - 0s 919us/step - loss: 0.6313
Epoch 11/150
38/38 [==============================] - 0s 892us/step - loss: 0.6282
Epoch 12/150
38/38 [==============================] - 0s 840us/step - loss: 0.6253
Epoch 13/150
38/38 [==============================] - 0s 787us/step - loss: 0.6244
Epoch 14/150
38/38 [==============================] - 0s 787us/step - loss: 0.6198
Epoch 15/150
38/38 [==============================] - 0s 814us/step - loss: 0.6180
Epoch 16/150
38/38 [==============================] - 0s 866us/step - loss: 0.6154
Epoch 17/150
38/38 [==============================] - 0s 761us/step - loss: 0.6137
Epoch 18/150
38/38 [==============================] - 0s 840us/step - loss: 0.6113
Epoch 19/150
38/38 [==============================] - 0s 840us/step - loss: 0.6105
Epoch 20/150
38/38 [==============================] - 0s 866us/step - loss: 0.6066
Epoch 21/150
38/38 [==============================] - 0s 840us/step - loss: 0.6034
Epoch 22/150
38/38 [==============================] - 0s 919us/step - loss: 0.6018
Epoch 23/150
38/38 [==============================] - 0s 866us/step - loss: 0.5987
Epoch 24/150
38/38 [==============================] - 0s 814us/step - loss: 0.5971
Epoch 25/150
38/38 [==============================] - 0s 840us/step - loss: 0.5958
Epoch 26/150
38/38 [==============================] - 0s 814us/step - loss: 0.5925
Epoch 27/150
38/38 [==============================] - 0s 787us/step - loss: 0.5904
Epoch 28/150
38/38 [==============================] - 0s 840us/step - loss: 0.5886
Epoch 29/150
38/38 [==============================] - 0s 840us/step - loss: 0.5874
Epoch 30/150
38/38 [==============================] - 0s 840us/step - loss: 0.5849
Epoch 31/150
38/38 [==============================] - 0s 866us/step - loss: 0.5823
Epoch 32/150
38/38 [==============================] - 0s 814us/step - loss: 0.5812
Epoch 33/150
38/38 [==============================] - 0s 814us/step - loss: 0.5799
Epoch 34/150
38/38 [==============================] - 0s 892us/step - loss: 0.5796
Epoch 35/150
38/38 [==============================] - 0s 840us/step - loss: 0.5760
Epoch 36/150
38/38 [==============================] - 0s 840us/step - loss: 0.5750
Epoch 37/150
38/38 [==============================] - 0s 840us/step - loss: 0.5748
Epoch 38/150
38/38 [==============================] - 0s 919us/step - loss: 0.5721
Epoch 39/150
38/38 [==============================] - 0s 866us/step - loss: 0.5713
Epoch 40/150
38/38 [==============================] - 0s 840us/step - loss: 0.5699
Epoch 41/150
38/38 [==============================] - 0s 761us/step - loss: 0.5681
Epoch 42/150
38/38 [==============================] - 0s 866us/step - loss: 0.5687
Epoch 43/150
38/38 [==============================] - 0s 814us/step - loss: 0.5684
Epoch 44/150
38/38 [==============================] - 0s 787us/step - loss: 0.5660
Epoch 45/150
38/38 [==============================] - 0s 892us/step - loss: 0.5653
Epoch 46/150
38/38 [==============================] - 0s 892us/step - loss: 0.5647
Epoch 47/150
38/38 [==============================] - 0s 866us/step - loss: 0.5628
Epoch 48/150
38/38 [==============================] - 0s 892us/step - loss: 0.5631
Epoch 49/150
38/38 [==============================] - 0s 840us/step - loss: 0.5616
Epoch 50/150
38/38 [==============================] - 0s 840us/step - loss: 0.5619
Epoch 51/150
38/38 [==============================] - 0s 866us/step - loss: 0.5613
Epoch 52/150
38/38 [==============================] - 0s 919us/step - loss: 0.5585
Epoch 53/150
38/38 [==============================] - 0s 814us/step - loss: 0.5573
Epoch 54/150
38/38 [==============================] - 0s 866us/step - loss: 0.5584
Epoch 55/150
38/38 [==============================] - 0s 840us/step - loss: 0.5552
Epoch 56/150
38/38 [==============================] - 0s 866us/step - loss: 0.5546
Epoch 57/150
38/38 [==============================] - 0s 866us/step - loss: 0.5556
Epoch 58/150
38/38 [==============================] - 0s 840us/step - loss: 0.5538
Epoch 59/150
38/38 [==============================] - 0s 840us/step - loss: 0.5530
Epoch 60/150
38/38 [==============================] - 0s 866us/step - loss: 0.5527
Epoch 61/150
38/38 [==============================] - 0s 892us/step - loss: 0.5518
Epoch 62/150
38/38 [==============================] - 0s 892us/step - loss: 0.5513
Epoch 63/150
38/38 [==============================] - 0s 840us/step - loss: 0.5513
Epoch 64/150
38/38 [==============================] - 0s 840us/step - loss: 0.5505
Epoch 65/150
38/38 [==============================] - 0s 892us/step - loss: 0.5493
Epoch 66/150
38/38 [==============================] - 0s 945us/step - loss: 0.5508
Epoch 67/150
38/38 [==============================] - 0s 840us/step - loss: 0.5510
Epoch 68/150
38/38 [==============================] - 0s 866us/step - loss: 0.5486
Epoch 69/150
38/38 [==============================] - 0s 814us/step - loss: 0.5481
Epoch 70/150
38/38 [==============================] - 0s 866us/step - loss: 0.5470
Epoch 71/150
38/38 [==============================] - 0s 840us/step - loss: 0.5470
Epoch 72/150
38/38 [==============================] - 0s 840us/step - loss: 0.5476
Epoch 73/150
38/38 [==============================] - 0s 919us/step - loss: 0.5458
Epoch 74/150
38/38 [==============================] - 0s 814us/step - loss: 0.5478
Epoch 75/150
38/38 [==============================] - 0s 840us/step - loss: 0.5452
Epoch 76/150
38/38 [==============================] - 0s 814us/step - loss: 0.5437
Epoch 77/150
38/38 [==============================] - 0s 840us/step - loss: 0.5444
Epoch 78/150
38/38 [==============================] - 0s 892us/step - loss: 0.5439
Epoch 79/150
38/38 [==============================] - 0s 866us/step - loss: 0.5416
Epoch 80/150
38/38 [==============================] - 0s 866us/step - loss: 0.5416
Epoch 81/150
38/38 [==============================] - 0s 866us/step - loss: 0.5395
Epoch 82/150
38/38 [==============================] - 0s 787us/step - loss: 0.5403
Epoch 83/150
38/38 [==============================] - 0s 814us/step - loss: 0.5404
Epoch 84/150
38/38 [==============================] - 0s 814us/step - loss: 0.5373
Epoch 85/150
38/38 [==============================] - 0s 866us/step - loss: 0.5376
Epoch 86/150
38/38 [==============================] - 0s 866us/step - loss: 0.5374
Epoch 87/150
38/38 [==============================] - 0s 919us/step - loss: 0.5367
Epoch 88/150
38/38 [==============================] - 0s 866us/step - loss: 0.5363
Epoch 89/150
38/38 [==============================] - 0s 814us/step - loss: 0.5364
Epoch 90/150
38/38 [==============================] - 0s 840us/step - loss: 0.5359
Epoch 91/150
38/38 [==============================] - 0s 866us/step - loss: 0.5371
Epoch 92/150
38/38 [==============================] - 0s 787us/step - loss: 0.5353
Epoch 93/150
38/38 [==============================] - 0s 840us/step - loss: 0.5345
Epoch 94/150
38/38 [==============================] - 0s 866us/step - loss: 0.5345
Epoch 95/150
38/38 [==============================] - 0s 840us/step - loss: 0.5325
Epoch 96/150
38/38 [==============================] - 0s 814us/step - loss: 0.5323
Epoch 97/150
38/38 [==============================] - 0s 866us/step - loss: 0.5322
Epoch 98/150
38/38 [==============================] - 0s 840us/step - loss: 0.5317
Epoch 99/150
38/38 [==============================] - 0s 840us/step - loss: 0.5314
Epoch 100/150
38/38 [==============================] - 0s 814us/step - loss: 0.5312
Epoch 101/150
38/38 [==============================] - 0s 814us/step - loss: 0.5301
Epoch 102/150
38/38 [==============================] - 0s 814us/step - loss: 0.5298
Epoch 103/150
38/38 [==============================] - 0s 814us/step - loss: 0.5316
Epoch 104/150
38/38 [==============================] - 0s 840us/step - loss: 0.5292
Epoch 105/150
38/38 [==============================] - 0s 866us/step - loss: 0.5312
Epoch 106/150
38/38 [==============================] - 0s 866us/step - loss: 0.5300
Epoch 107/150
38/38 [==============================] - 0s 866us/step - loss: 0.5289
Epoch 108/150
38/38 [==============================] - 0s 892us/step - loss: 0.5261
Epoch 109/150
38/38 [==============================] - 0s 919us/step - loss: 0.5277
Epoch 110/150
38/38 [==============================] - 0s 892us/step - loss: 0.5266
Epoch 111/150
38/38 [==============================] - 0s 866us/step - loss: 0.5276
Epoch 112/150
38/38 [==============================] - 0s 892us/step - loss: 0.5269
Epoch 113/150
38/38 [==============================] - 0s 787us/step - loss: 0.5278
Epoch 114/150
38/38 [==============================] - 0s 787us/step - loss: 0.5249
Epoch 115/150
38/38 [==============================] - 0s 761us/step - loss: 0.5259
Epoch 116/150
38/38 [==============================] - 0s 814us/step - loss: 0.5243
Epoch 117/150
38/38 [==============================] - 0s 814us/step - loss: 0.5248
Epoch 118/150
38/38 [==============================] - 0s 814us/step - loss: 0.5241
Epoch 119/150
38/38 [==============================] - 0s 892us/step - loss: 0.5227
Epoch 120/150
38/38 [==============================] - 0s 866us/step - loss: 0.5235
Epoch 121/150
38/38 [==============================] - 0s 840us/step - loss: 0.5238
Epoch 122/150
38/38 [==============================] - 0s 761us/step - loss: 0.5216
Epoch 123/150
38/38 [==============================] - 0s 866us/step - loss: 0.5209
Epoch 124/150
38/38 [==============================] - 0s 866us/step - loss: 0.5214
Epoch 125/150
38/38 [==============================] - 0s 787us/step - loss: 0.5212
Epoch 126/150
38/38 [==============================] - 0s 814us/step - loss: 0.5210
Epoch 127/150
38/38 [==============================] - 0s 866us/step - loss: 0.5209
Epoch 128/150
38/38 [==============================] - 0s 919us/step - loss: 0.5198
Epoch 129/150
38/38 [==============================] - 0s 735us/step - loss: 0.5187
Epoch 130/150
38/38 [==============================] - 0s 840us/step - loss: 0.5195
Epoch 131/150
38/38 [==============================] - 0s 892us/step - loss: 0.5181
Epoch 132/150
38/38 [==============================] - 0s 840us/step - loss: 0.5179
Epoch 133/150
38/38 [==============================] - 0s 840us/step - loss: 0.5185
Epoch 134/150
38/38 [==============================] - 0s 840us/step - loss: 0.5171
Epoch 135/150
38/38 [==============================] - 0s 866us/step - loss: 0.5164
Epoch 136/150
38/38 [==============================] - 0s 840us/step - loss: 0.5174
Epoch 137/150
38/38 [==============================] - 0s 787us/step - loss: 0.5169
Epoch 138/150
38/38 [==============================] - 0s 840us/step - loss: 0.5168
Epoch 139/150
38/38 [==============================] - 0s 866us/step - loss: 0.5146
Epoch 140/150
38/38 [==============================] - 0s 814us/step - loss: 0.5152
Epoch 141/150
38/38 [==============================] - 0s 814us/step - loss: 0.5145
Epoch 142/150
38/38 [==============================] - 0s 814us/step - loss: 0.5146
Epoch 143/150
38/38 [==============================] - 0s 840us/step - loss: 0.5149
Epoch 144/150
38/38 [==============================] - 0s 814us/step - loss: 0.5151
Epoch 145/150
38/38 [==============================] - 0s 840us/step - loss: 0.5144
Epoch 146/150
38/38 [==============================] - 0s 787us/step - loss: 0.5148
Epoch 147/150
38/38 [==============================] - 0s 866us/step - loss: 0.5139
Epoch 148/150
38/38 [==============================] - 0s 840us/step - loss: 0.5139
Epoch 149/150
38/38 [==============================] - 0s 919us/step - loss: 0.5126
Epoch 150/150
38/38 [==============================] - 0s 840us/step - loss: 0.5130
###################################################################### Accuracy: 72.52825163362085
Epoch 1/150
39/39 [==============================] - 0s 977us/step - loss: 0.9823
Epoch 2/150
39/39 [==============================] - 0s 844us/step - loss: 0.9578
Epoch 3/150
39/39 [==============================] - 0s 895us/step - loss: 0.8813
Epoch 4/150
39/39 [==============================] - 0s 997us/step - loss: 0.7685
Epoch 5/150
39/39 [==============================] - 0s 921us/step - loss: 0.6746
Epoch 6/150
39/39 [==============================] - 0s 946us/step - loss: 0.6441
Epoch 7/150
39/39 [==============================] - 0s 844us/step - loss: 0.6338
Epoch 8/150
39/39 [==============================] - 0s 869us/step - loss: 0.6283
Epoch 9/150
39/39 [==============================] - 0s 895us/step - loss: 0.6234
Epoch 10/150
39/39 [==============================] - 0s 895us/step - loss: 0.6194
Epoch 11/150
39/39 [==============================] - 0s 895us/step - loss: 0.6156
Epoch 12/150
39/39 [==============================] - 0s 972us/step - loss: 0.6127
Epoch 13/150
39/39 [==============================] - 0s 869us/step - loss: 0.6102
Epoch 14/150
39/39 [==============================] - 0s 869us/step - loss: 0.6147
Epoch 15/150
39/39 [==============================] - 0s 869us/step - loss: 0.6063
Epoch 16/150
39/39 [==============================] - 0s 921us/step - loss: 0.6009
Epoch 17/150
39/39 [==============================] - 0s 895us/step - loss: 0.5988
Epoch 18/150
39/39 [==============================] - 0s 895us/step - loss: 0.5972
Epoch 19/150
39/39 [==============================] - 0s 869us/step - loss: 0.5953
Epoch 20/150
39/39 [==============================] - 0s 818us/step - loss: 0.5934
Epoch 21/150
39/39 [==============================] - 0s 895us/step - loss: 0.5928
Epoch 22/150
39/39 [==============================] - 0s 895us/step - loss: 0.5929
Epoch 23/150
39/39 [==============================] - 0s 972us/step - loss: 0.5895
Epoch 24/150
39/39 [==============================] - 0s 869us/step - loss: 0.5900
Epoch 25/150
39/39 [==============================] - 0s 869us/step - loss: 0.5870
Epoch 26/150
39/39 [==============================] - 0s 921us/step - loss: 0.5854
Epoch 27/150
39/39 [==============================] - 0s 895us/step - loss: 0.5856
Epoch 28/150
39/39 [==============================] - 0s 869us/step - loss: 0.5825
Epoch 29/150
39/39 [==============================] - 0s 946us/step - loss: 0.5826
Epoch 30/150
39/39 [==============================] - 0s 895us/step - loss: 0.5816
Epoch 31/150
39/39 [==============================] - 0s 844us/step - loss: 0.5817
Epoch 32/150
39/39 [==============================] - 0s 844us/step - loss: 0.5824
Epoch 33/150
39/39 [==============================] - 0s 921us/step - loss: 0.5789
Epoch 34/150
39/39 [==============================] - 0s 869us/step - loss: 0.5803
Epoch 35/150
39/39 [==============================] - 0s 895us/step - loss: 0.5812
Epoch 36/150
39/39 [==============================] - 0s 946us/step - loss: 0.5770
Epoch 37/150
39/39 [==============================] - 0s 946us/step - loss: 0.5762
Epoch 38/150
39/39 [==============================] - 0s 972us/step - loss: 0.5759
Epoch 39/150
39/39 [==============================] - 0s 818us/step - loss: 0.5738
Epoch 40/150
39/39 [==============================] - 0s 869us/step - loss: 0.5740
Epoch 41/150
39/39 [==============================] - 0s 844us/step - loss: 0.5723
Epoch 42/150
39/39 [==============================] - 0s 895us/step - loss: 0.5724
Epoch 43/150
39/39 [==============================] - 0s 818us/step - loss: 0.5728
Epoch 44/150
39/39 [==============================] - 0s 921us/step - loss: 0.5738
Epoch 45/150
39/39 [==============================] - 0s 895us/step - loss: 0.5713
Epoch 46/150
39/39 [==============================] - 0s 895us/step - loss: 0.5739
Epoch 47/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5717
Epoch 48/150
39/39 [==============================] - 0s 921us/step - loss: 0.5736
Epoch 49/150
39/39 [==============================] - 0s 844us/step - loss: 0.5720
Epoch 50/150
39/39 [==============================] - 0s 793us/step - loss: 0.5719
Epoch 51/150
39/39 [==============================] - 0s 793us/step - loss: 0.5687
Epoch 52/150
39/39 [==============================] - 0s 844us/step - loss: 0.5684
Epoch 53/150
39/39 [==============================] - 0s 818us/step - loss: 0.5687
Epoch 54/150
39/39 [==============================] - 0s 844us/step - loss: 0.5685
Epoch 55/150
39/39 [==============================] - 0s 869us/step - loss: 0.5668
Epoch 56/150
39/39 [==============================] - 0s 869us/step - loss: 0.5676
Epoch 57/150
39/39 [==============================] - 0s 895us/step - loss: 0.5670
Epoch 58/150
39/39 [==============================] - 0s 844us/step - loss: 0.5659
Epoch 59/150
39/39 [==============================] - 0s 895us/step - loss: 0.5684
Epoch 60/150
39/39 [==============================] - 0s 921us/step - loss: 0.5665
Epoch 61/150
39/39 [==============================] - 0s 895us/step - loss: 0.5665
Epoch 62/150
39/39 [==============================] - 0s 921us/step - loss: 0.5660
Epoch 63/150
39/39 [==============================] - 0s 869us/step - loss: 0.5646
Epoch 64/150
39/39 [==============================] - 0s 869us/step - loss: 0.5643
Epoch 65/150
39/39 [==============================] - 0s 844us/step - loss: 0.5641
Epoch 66/150
39/39 [==============================] - 0s 921us/step - loss: 0.5636
Epoch 67/150
39/39 [==============================] - 0s 844us/step - loss: 0.5635
Epoch 68/150
39/39 [==============================] - 0s 818us/step - loss: 0.5636
Epoch 69/150
39/39 [==============================] - 0s 895us/step - loss: 0.5626
Epoch 70/150
39/39 [==============================] - 0s 844us/step - loss: 0.5629
Epoch 71/150
39/39 [==============================] - 0s 869us/step - loss: 0.5639
Epoch 72/150
39/39 [==============================] - 0s 895us/step - loss: 0.5627
Epoch 73/150
39/39 [==============================] - 0s 869us/step - loss: 0.5638
Epoch 74/150
39/39 [==============================] - 0s 869us/step - loss: 0.5681
Epoch 75/150
39/39 [==============================] - 0s 869us/step - loss: 0.5718
Epoch 76/150
39/39 [==============================] - 0s 870us/step - loss: 0.5644
Epoch 77/150
39/39 [==============================] - 0s 844us/step - loss: 0.5615
Epoch 78/150
39/39 [==============================] - 0s 895us/step - loss: 0.5615
Epoch 79/150
39/39 [==============================] - 0s 895us/step - loss: 0.5609
Epoch 80/150
39/39 [==============================] - 0s 870us/step - loss: 0.5607
Epoch 81/150
39/39 [==============================] - 0s 895us/step - loss: 0.5592
Epoch 82/150
39/39 [==============================] - 0s 869us/step - loss: 0.5588
Epoch 83/150
39/39 [==============================] - 0s 844us/step - loss: 0.5602
Epoch 84/150
39/39 [==============================] - 0s 895us/step - loss: 0.5619
Epoch 85/150
39/39 [==============================] - 0s 844us/step - loss: 0.5604
Epoch 86/150
39/39 [==============================] - 0s 869us/step - loss: 0.5585
Epoch 87/150
39/39 [==============================] - 0s 895us/step - loss: 0.5594
Epoch 88/150
39/39 [==============================] - 0s 895us/step - loss: 0.5579
Epoch 89/150
39/39 [==============================] - 0s 869us/step - loss: 0.5627
Epoch 90/150
39/39 [==============================] - 0s 869us/step - loss: 0.5610
Epoch 91/150
39/39 [==============================] - 0s 869us/step - loss: 0.5578
Epoch 92/150
39/39 [==============================] - 0s 869us/step - loss: 0.5579
Epoch 93/150
39/39 [==============================] - 0s 895us/step - loss: 0.5569
Epoch 94/150
39/39 [==============================] - 0s 921us/step - loss: 0.5565
Epoch 95/150
39/39 [==============================] - 0s 869us/step - loss: 0.5561
Epoch 96/150
39/39 [==============================] - 0s 869us/step - loss: 0.5585
Epoch 97/150
39/39 [==============================] - 0s 921us/step - loss: 0.5556
Epoch 98/150
39/39 [==============================] - 0s 895us/step - loss: 0.5595
Epoch 99/150
39/39 [==============================] - 0s 869us/step - loss: 0.5557
Epoch 100/150
39/39 [==============================] - 0s 895us/step - loss: 0.5566
Epoch 101/150
39/39 [==============================] - 0s 921us/step - loss: 0.5560
Epoch 102/150
39/39 [==============================] - 0s 895us/step - loss: 0.5546
Epoch 103/150
39/39 [==============================] - 0s 844us/step - loss: 0.5724
Epoch 104/150
39/39 [==============================] - 0s 869us/step - loss: 0.5569
Epoch 105/150
39/39 [==============================] - 0s 844us/step - loss: 0.5540
Epoch 106/150
39/39 [==============================] - 0s 946us/step - loss: 0.5572
Epoch 107/150
39/39 [==============================] - 0s 844us/step - loss: 0.5542
Epoch 108/150
39/39 [==============================] - 0s 895us/step - loss: 0.5545
Epoch 109/150
39/39 [==============================] - 0s 818us/step - loss: 0.5589
Epoch 110/150
39/39 [==============================] - 0s 895us/step - loss: 0.5539
Epoch 111/150
39/39 [==============================] - 0s 895us/step - loss: 0.5571
Epoch 112/150
39/39 [==============================] - 0s 921us/step - loss: 0.5585
Epoch 113/150
39/39 [==============================] - 0s 818us/step - loss: 0.5555
Epoch 114/150
39/39 [==============================] - 0s 869us/step - loss: 0.5569
Epoch 115/150
39/39 [==============================] - 0s 844us/step - loss: 0.5541
Epoch 116/150
39/39 [==============================] - 0s 921us/step - loss: 0.5546
Epoch 117/150
39/39 [==============================] - 0s 946us/step - loss: 0.5536
Epoch 118/150
39/39 [==============================] - 0s 895us/step - loss: 0.5533
Epoch 119/150
39/39 [==============================] - 0s 895us/step - loss: 0.5531
Epoch 120/150
39/39 [==============================] - 0s 921us/step - loss: 0.5534
Epoch 121/150
39/39 [==============================] - 0s 869us/step - loss: 0.5590
Epoch 122/150
39/39 [==============================] - 0s 818us/step - loss: 0.5547
Epoch 123/150
39/39 [==============================] - 0s 844us/step - loss: 0.5519
Epoch 124/150
39/39 [==============================] - 0s 895us/step - loss: 0.5569
Epoch 125/150
39/39 [==============================] - 0s 895us/step - loss: 0.5532
Epoch 126/150
39/39 [==============================] - 0s 895us/step - loss: 0.5511
Epoch 127/150
39/39 [==============================] - 0s 921us/step - loss: 0.5506
Epoch 128/150
39/39 [==============================] - 0s 844us/step - loss: 0.5529
Epoch 129/150
39/39 [==============================] - 0s 844us/step - loss: 0.5549
Epoch 130/150
39/39 [==============================] - 0s 793us/step - loss: 0.5514
Epoch 131/150
39/39 [==============================] - 0s 870us/step - loss: 0.5511
Epoch 132/150
39/39 [==============================] - 0s 844us/step - loss: 0.5522
Epoch 133/150
39/39 [==============================] - 0s 921us/step - loss: 0.5522
Epoch 134/150
39/39 [==============================] - 0s 895us/step - loss: 0.5502
Epoch 135/150
39/39 [==============================] - 0s 972us/step - loss: 0.5511
Epoch 136/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5500
Epoch 137/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5502
Epoch 138/150
39/39 [==============================] - 0s 972us/step - loss: 0.5495
Epoch 139/150
39/39 [==============================] - 0s 972us/step - loss: 0.5504
Epoch 140/150
39/39 [==============================] - 0s 946us/step - loss: 0.5495
Epoch 141/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5510
Epoch 142/150
39/39 [==============================] - 0s 997us/step - loss: 0.5500
Epoch 143/150
39/39 [==============================] - 0s 921us/step - loss: 0.5507
Epoch 144/150
39/39 [==============================] - 0s 972us/step - loss: 0.5494
Epoch 145/150
39/39 [==============================] - 0s 921us/step - loss: 0.5554
Epoch 146/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5497
Epoch 147/150
39/39 [==============================] - 0s 946us/step - loss: 0.5506
Epoch 148/150
39/39 [==============================] - 0s 921us/step - loss: 0.5502
Epoch 149/150
39/39 [==============================] - 0s 997us/step - loss: 0.5472
Epoch 150/150
39/39 [==============================] - 0s 921us/step - loss: 0.5503
###################################################################### Accuracy: 72.75240236515974
Epoch 1/150
39/39 [==============================] - 0s 1ms/step - loss: 0.9738
Epoch 2/150
39/39 [==============================] - 0s 921us/step - loss: 0.9544
Epoch 3/150
39/39 [==============================] - 0s 895us/step - loss: 0.8909
Epoch 4/150
39/39 [==============================] - 0s 946us/step - loss: 0.7725
Epoch 5/150
39/39 [==============================] - 0s 869us/step - loss: 0.6767
Epoch 6/150
39/39 [==============================] - 0s 946us/step - loss: 0.6342
Epoch 7/150
39/39 [==============================] - 0s 869us/step - loss: 0.6259
Epoch 8/150
39/39 [==============================] - 0s 793us/step - loss: 0.6209
Epoch 9/150
39/39 [==============================] - 0s 818us/step - loss: 0.6191
Epoch 10/150
39/39 [==============================] - 0s 767us/step - loss: 0.6141
Epoch 11/150
39/39 [==============================] - 0s 869us/step - loss: 0.6112
Epoch 12/150
39/39 [==============================] - 0s 819us/step - loss: 0.6093
Epoch 13/150
39/39 [==============================] - 0s 793us/step - loss: 0.6060
Epoch 14/150
39/39 [==============================] - 0s 844us/step - loss: 0.6054
Epoch 15/150
39/39 [==============================] - 0s 895us/step - loss: 0.6039
Epoch 16/150
39/39 [==============================] - 0s 767us/step - loss: 0.6025
Epoch 17/150
39/39 [==============================] - 0s 895us/step - loss: 0.6002
Epoch 18/150
39/39 [==============================] - 0s 870us/step - loss: 0.5987
Epoch 19/150
39/39 [==============================] - 0s 818us/step - loss: 0.5980
Epoch 20/150
39/39 [==============================] - 0s 921us/step - loss: 0.5929
Epoch 21/150
39/39 [==============================] - 0s 818us/step - loss: 0.5916
Epoch 22/150
39/39 [==============================] - 0s 895us/step - loss: 0.5913
Epoch 23/150
39/39 [==============================] - 0s 818us/step - loss: 0.5885
Epoch 24/150
39/39 [==============================] - 0s 869us/step - loss: 0.5870
Epoch 25/150
39/39 [==============================] - 0s 921us/step - loss: 0.5862
Epoch 26/150
39/39 [==============================] - 0s 869us/step - loss: 0.5852
Epoch 27/150
39/39 [==============================] - 0s 869us/step - loss: 0.5843
Epoch 28/150
39/39 [==============================] - 0s 997us/step - loss: 0.5828
Epoch 29/150
39/39 [==============================] - 0s 869us/step - loss: 0.5826
Epoch 30/150
39/39 [==============================] - 0s 895us/step - loss: 0.5796
Epoch 31/150
39/39 [==============================] - 0s 869us/step - loss: 0.5811
Epoch 32/150
39/39 [==============================] - 0s 818us/step - loss: 0.5782
Epoch 33/150
39/39 [==============================] - 0s 895us/step - loss: 0.5761
Epoch 34/150
39/39 [==============================] - 0s 895us/step - loss: 0.5745
Epoch 35/150
39/39 [==============================] - 0s 869us/step - loss: 0.5738
Epoch 36/150
39/39 [==============================] - 0s 895us/step - loss: 0.5755
Epoch 37/150
39/39 [==============================] - 0s 921us/step - loss: 0.5725
Epoch 38/150
39/39 [==============================] - 0s 844us/step - loss: 0.5731
Epoch 39/150
39/39 [==============================] - 0s 869us/step - loss: 0.5710
Epoch 40/150
39/39 [==============================] - 0s 844us/step - loss: 0.5700
Epoch 41/150
39/39 [==============================] - 0s 869us/step - loss: 0.5695
Epoch 42/150
39/39 [==============================] - 0s 844us/step - loss: 0.5702
Epoch 43/150
39/39 [==============================] - 0s 869us/step - loss: 0.5729
Epoch 44/150
39/39 [==============================] - 0s 869us/step - loss: 0.5667
Epoch 45/150
39/39 [==============================] - 0s 921us/step - loss: 0.5653
Epoch 46/150
39/39 [==============================] - 0s 844us/step - loss: 0.5648
Epoch 47/150
39/39 [==============================] - 0s 844us/step - loss: 0.5642
Epoch 48/150
39/39 [==============================] - 0s 869us/step - loss: 0.5632
Epoch 49/150
39/39 [==============================] - 0s 895us/step - loss: 0.5633
Epoch 50/150
39/39 [==============================] - 0s 895us/step - loss: 0.5627
Epoch 51/150
39/39 [==============================] - 0s 869us/step - loss: 0.5618
Epoch 52/150
39/39 [==============================] - 0s 844us/step - loss: 0.5600
Epoch 53/150
39/39 [==============================] - 0s 869us/step - loss: 0.5604
Epoch 54/150
39/39 [==============================] - 0s 921us/step - loss: 0.5604
Epoch 55/150
39/39 [==============================] - 0s 895us/step - loss: 0.5595
Epoch 56/150
39/39 [==============================] - 0s 869us/step - loss: 0.5596
Epoch 57/150
39/39 [==============================] - 0s 921us/step - loss: 0.5583
Epoch 58/150
39/39 [==============================] - 0s 844us/step - loss: 0.5588
Epoch 59/150
39/39 [==============================] - 0s 844us/step - loss: 0.5581
Epoch 60/150
39/39 [==============================] - 0s 869us/step - loss: 0.5566
Epoch 61/150
39/39 [==============================] - 0s 869us/step - loss: 0.5569
Epoch 62/150
39/39 [==============================] - 0s 921us/step - loss: 0.5572
Epoch 63/150
39/39 [==============================] - 0s 895us/step - loss: 0.5553
Epoch 64/150
39/39 [==============================] - 0s 844us/step - loss: 0.5565
Epoch 65/150
39/39 [==============================] - 0s 869us/step - loss: 0.5543
Epoch 66/150
39/39 [==============================] - 0s 869us/step - loss: 0.5561
Epoch 67/150
39/39 [==============================] - 0s 895us/step - loss: 0.5545
Epoch 68/150
39/39 [==============================] - 0s 869us/step - loss: 0.5627
Epoch 69/150
39/39 [==============================] - 0s 895us/step - loss: 0.5558
Epoch 70/150
39/39 [==============================] - 0s 895us/step - loss: 0.5546
Epoch 71/150
39/39 [==============================] - 0s 870us/step - loss: 0.5536
Epoch 72/150
39/39 [==============================] - 0s 793us/step - loss: 0.5522
Epoch 73/150
39/39 [==============================] - 0s 844us/step - loss: 0.5544
Epoch 74/150
39/39 [==============================] - 0s 869us/step - loss: 0.5543
Epoch 75/150
39/39 [==============================] - 0s 818us/step - loss: 0.5513
Epoch 76/150
39/39 [==============================] - 0s 895us/step - loss: 0.5528
Epoch 77/150
39/39 [==============================] - 0s 895us/step - loss: 0.5525
Epoch 78/150
39/39 [==============================] - 0s 895us/step - loss: 0.5513
Epoch 79/150
39/39 [==============================] - 0s 921us/step - loss: 0.5517
Epoch 80/150
39/39 [==============================] - 0s 895us/step - loss: 0.5504
Epoch 81/150
39/39 [==============================] - 0s 818us/step - loss: 0.5500
Epoch 82/150
39/39 [==============================] - 0s 844us/step - loss: 0.5488
Epoch 83/150
39/39 [==============================] - 0s 869us/step - loss: 0.5497
Epoch 84/150
39/39 [==============================] - 0s 869us/step - loss: 0.5490
Epoch 85/150
39/39 [==============================] - 0s 869us/step - loss: 0.5474
Epoch 86/150
39/39 [==============================] - 0s 895us/step - loss: 0.5475
Epoch 87/150
39/39 [==============================] - 0s 921us/step - loss: 0.5476
Epoch 88/150
39/39 [==============================] - 0s 895us/step - loss: 0.5458
Epoch 89/150
39/39 [==============================] - 0s 869us/step - loss: 0.5465
Epoch 90/150
39/39 [==============================] - 0s 818us/step - loss: 0.5454
Epoch 91/150
39/39 [==============================] - 0s 895us/step - loss: 0.5441
Epoch 92/150
39/39 [==============================] - 0s 844us/step - loss: 0.5544
Epoch 93/150
39/39 [==============================] - 0s 869us/step - loss: 0.5433
Epoch 94/150
39/39 [==============================] - 0s 818us/step - loss: 0.5433
Epoch 95/150
39/39 [==============================] - 0s 869us/step - loss: 0.5455
Epoch 96/150
39/39 [==============================] - 0s 793us/step - loss: 0.5412
Epoch 97/150
39/39 [==============================] - 0s 869us/step - loss: 0.5428
Epoch 98/150
39/39 [==============================] - 0s 869us/step - loss: 0.5423
Epoch 99/150
39/39 [==============================] - 0s 895us/step - loss: 0.5417
Epoch 100/150
39/39 [==============================] - 0s 844us/step - loss: 0.5417
Epoch 101/150
39/39 [==============================] - 0s 921us/step - loss: 0.5406
Epoch 102/150
39/39 [==============================] - 0s 921us/step - loss: 0.5397
Epoch 103/150
39/39 [==============================] - 0s 895us/step - loss: 0.5402
Epoch 104/150
39/39 [==============================] - 0s 844us/step - loss: 0.5431
Epoch 105/150
39/39 [==============================] - 0s 818us/step - loss: 0.5425
Epoch 106/150
39/39 [==============================] - 0s 818us/step - loss: 0.5413
Epoch 107/150
39/39 [==============================] - 0s 895us/step - loss: 0.5388
Epoch 108/150
39/39 [==============================] - 0s 844us/step - loss: 0.5403
Epoch 109/150
39/39 [==============================] - 0s 844us/step - loss: 0.5428
Epoch 110/150
39/39 [==============================] - 0s 818us/step - loss: 0.5379
Epoch 111/150
39/39 [==============================] - 0s 818us/step - loss: 0.5369
Epoch 112/150
39/39 [==============================] - 0s 818us/step - loss: 0.5365
Epoch 113/150
39/39 [==============================] - 0s 844us/step - loss: 0.5357
Epoch 114/150
39/39 [==============================] - 0s 869us/step - loss: 0.5353
Epoch 115/150
39/39 [==============================] - 0s 895us/step - loss: 0.5368
Epoch 116/150
39/39 [==============================] - 0s 895us/step - loss: 0.5364
Epoch 117/150
39/39 [==============================] - 0s 895us/step - loss: 0.5353
Epoch 118/150
39/39 [==============================] - 0s 869us/step - loss: 0.5344
Epoch 119/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5341
Epoch 120/150
39/39 [==============================] - 0s 895us/step - loss: 0.5341
Epoch 121/150
39/39 [==============================] - 0s 972us/step - loss: 0.5346
Epoch 122/150
39/39 [==============================] - 0s 921us/step - loss: 0.5338
Epoch 123/150
39/39 [==============================] - 0s 870us/step - loss: 0.5361
Epoch 124/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5339
Epoch 125/150
39/39 [==============================] - 0s 869us/step - loss: 0.5326
Epoch 126/150
39/39 [==============================] - 0s 869us/step - loss: 0.5342
Epoch 127/150
39/39 [==============================] - 0s 869us/step - loss: 0.5350
Epoch 128/150
39/39 [==============================] - 0s 844us/step - loss: 0.5337
Epoch 129/150
39/39 [==============================] - 0s 895us/step - loss: 0.5342
Epoch 130/150
39/39 [==============================] - 0s 895us/step - loss: 0.5333
Epoch 131/150
39/39 [==============================] - 0s 844us/step - loss: 0.5351
Epoch 132/150
39/39 [==============================] - 0s 869us/step - loss: 0.5333
Epoch 133/150
39/39 [==============================] - 0s 946us/step - loss: 0.5316
Epoch 134/150
39/39 [==============================] - 0s 895us/step - loss: 0.5326
Epoch 135/150
39/39 [==============================] - 0s 844us/step - loss: 0.5309
Epoch 136/150
39/39 [==============================] - 0s 844us/step - loss: 0.5303
Epoch 137/150
39/39 [==============================] - 0s 895us/step - loss: 0.5300
Epoch 138/150
39/39 [==============================] - 0s 869us/step - loss: 0.5297
Epoch 139/150
39/39 [==============================] - 0s 869us/step - loss: 0.5303
Epoch 140/150
39/39 [==============================] - 0s 869us/step - loss: 0.5284
Epoch 141/150
39/39 [==============================] - 0s 844us/step - loss: 0.5283
Epoch 142/150
39/39 [==============================] - 0s 870us/step - loss: 0.5280
Epoch 143/150
39/39 [==============================] - 0s 921us/step - loss: 0.5283
Epoch 144/150
39/39 [==============================] - 0s 895us/step - loss: 0.5275
Epoch 145/150
39/39 [==============================] - 0s 921us/step - loss: 0.5310
Epoch 146/150
39/39 [==============================] - 0s 844us/step - loss: 0.5319
Epoch 147/150
39/39 [==============================] - 0s 946us/step - loss: 0.5299
Epoch 148/150
39/39 [==============================] - 0s 844us/step - loss: 0.5276
Epoch 149/150
39/39 [==============================] - 0s 895us/step - loss: 0.5266
Epoch 150/150
39/39 [==============================] - 0s 895us/step - loss: 0.5272
###################################################################### Accuracy: 89.82851376975053
Epoch 1/150
39/39 [==============================] - 0s 1ms/step - loss: 1.0182
Epoch 2/150
39/39 [==============================] - 0s 862us/step - loss: 1.0099
Epoch 3/150
39/39 [==============================] - 0s 869us/step - loss: 0.9699
Epoch 4/150
39/39 [==============================] - 0s 869us/step - loss: 0.8620
Epoch 5/150
39/39 [==============================] - 0s 844us/step - loss: 0.7363
Epoch 6/150
39/39 [==============================] - 0s 818us/step - loss: 0.6684
Epoch 7/150
39/39 [==============================] - 0s 793us/step - loss: 0.6499
Epoch 8/150
39/39 [==============================] - 0s 844us/step - loss: 0.6408
Epoch 9/150
39/39 [==============================] - 0s 895us/step - loss: 0.6361
Epoch 10/150
39/39 [==============================] - 0s 895us/step - loss: 0.6322
Epoch 11/150
39/39 [==============================] - 0s 921us/step - loss: 0.6277
Epoch 12/150
39/39 [==============================] - 0s 844us/step - loss: 0.6254
Epoch 13/150
39/39 [==============================] - 0s 844us/step - loss: 0.6226
Epoch 14/150
39/39 [==============================] - 0s 818us/step - loss: 0.6197
Epoch 15/150
39/39 [==============================] - 0s 869us/step - loss: 0.6165
Epoch 16/150
39/39 [==============================] - 0s 895us/step - loss: 0.6150
Epoch 17/150
39/39 [==============================] - 0s 921us/step - loss: 0.6126
Epoch 18/150
39/39 [==============================] - 0s 844us/step - loss: 0.6101
Epoch 19/150
39/39 [==============================] - 0s 844us/step - loss: 0.6076
Epoch 20/150
39/39 [==============================] - 0s 869us/step - loss: 0.6064
Epoch 21/150
39/39 [==============================] - 0s 869us/step - loss: 0.6053
Epoch 22/150
39/39 [==============================] - 0s 921us/step - loss: 0.6040
Epoch 23/150
39/39 [==============================] - 0s 895us/step - loss: 0.6006
Epoch 24/150
39/39 [==============================] - 0s 921us/step - loss: 0.5990
Epoch 25/150
39/39 [==============================] - 0s 921us/step - loss: 0.5976
Epoch 26/150
39/39 [==============================] - 0s 869us/step - loss: 0.6001
Epoch 27/150
39/39 [==============================] - 0s 818us/step - loss: 0.5959
Epoch 28/150
39/39 [==============================] - 0s 869us/step - loss: 0.5935
Epoch 29/150
39/39 [==============================] - 0s 844us/step - loss: 0.5924
Epoch 30/150
39/39 [==============================] - 0s 895us/step - loss: 0.5912
Epoch 31/150
39/39 [==============================] - 0s 869us/step - loss: 0.5883
Epoch 32/150
39/39 [==============================] - 0s 921us/step - loss: 0.5885
Epoch 33/150
39/39 [==============================] - 0s 895us/step - loss: 0.5868
Epoch 34/150
39/39 [==============================] - 0s 921us/step - loss: 0.5862
Epoch 35/150
39/39 [==============================] - 0s 895us/step - loss: 0.5872
Epoch 36/150
39/39 [==============================] - 0s 895us/step - loss: 0.5869
Epoch 37/150
39/39 [==============================] - 0s 793us/step - loss: 0.5837
Epoch 38/150
39/39 [==============================] - 0s 767us/step - loss: 0.5821
Epoch 39/150
39/39 [==============================] - 0s 818us/step - loss: 0.5802
Epoch 40/150
39/39 [==============================] - 0s 844us/step - loss: 0.5789
Epoch 41/150
39/39 [==============================] - 0s 767us/step - loss: 0.5799
Epoch 42/150
39/39 [==============================] - 0s 793us/step - loss: 0.5783
Epoch 43/150
39/39 [==============================] - 0s 844us/step - loss: 0.5775
Epoch 44/150
39/39 [==============================] - 0s 869us/step - loss: 0.5763
Epoch 45/150
39/39 [==============================] - 0s 818us/step - loss: 0.5767
Epoch 46/150
39/39 [==============================] - 0s 844us/step - loss: 0.5754
Epoch 47/150
39/39 [==============================] - 0s 869us/step - loss: 0.5769
Epoch 48/150
39/39 [==============================] - 0s 869us/step - loss: 0.5740
Epoch 49/150
39/39 [==============================] - 0s 869us/step - loss: 0.5729
Epoch 50/150
39/39 [==============================] - 0s 895us/step - loss: 0.5723
Epoch 51/150
39/39 [==============================] - 0s 895us/step - loss: 0.5709
Epoch 52/150
39/39 [==============================] - 0s 895us/step - loss: 0.5714
Epoch 53/150
39/39 [==============================] - 0s 895us/step - loss: 0.5714
Epoch 54/150
39/39 [==============================] - 0s 895us/step - loss: 0.5709
Epoch 55/150
39/39 [==============================] - 0s 818us/step - loss: 0.5699
Epoch 56/150
39/39 [==============================] - 0s 844us/step - loss: 0.5674
Epoch 57/150
39/39 [==============================] - 0s 869us/step - loss: 0.5685
Epoch 58/150
39/39 [==============================] - 0s 921us/step - loss: 0.5674
Epoch 59/150
39/39 [==============================] - 0s 818us/step - loss: 0.5680
Epoch 60/150
39/39 [==============================] - 0s 869us/step - loss: 0.5674
Epoch 61/150
39/39 [==============================] - 0s 818us/step - loss: 0.5666
Epoch 62/150
39/39 [==============================] - 0s 844us/step - loss: 0.5657
Epoch 63/150
39/39 [==============================] - 0s 869us/step - loss: 0.5669
Epoch 64/150
39/39 [==============================] - 0s 895us/step - loss: 0.5651
Epoch 65/150
39/39 [==============================] - 0s 869us/step - loss: 0.5692
Epoch 66/150
39/39 [==============================] - 0s 921us/step - loss: 0.5637
Epoch 67/150
39/39 [==============================] - 0s 895us/step - loss: 0.5622
Epoch 68/150
39/39 [==============================] - 0s 844us/step - loss: 0.5615
Epoch 69/150
39/39 [==============================] - 0s 844us/step - loss: 0.5609
Epoch 70/150
39/39 [==============================] - 0s 895us/step - loss: 0.5609
Epoch 71/150
39/39 [==============================] - 0s 844us/step - loss: 0.5609
Epoch 72/150
39/39 [==============================] - 0s 844us/step - loss: 0.5637
Epoch 73/150
39/39 [==============================] - 0s 869us/step - loss: 0.5595
Epoch 74/150
39/39 [==============================] - 0s 819us/step - loss: 0.5607
Epoch 75/150
39/39 [==============================] - 0s 946us/step - loss: 0.5573
Epoch 76/150
39/39 [==============================] - 0s 844us/step - loss: 0.5584
Epoch 77/150
39/39 [==============================] - 0s 869us/step - loss: 0.5574
Epoch 78/150
39/39 [==============================] - 0s 869us/step - loss: 0.5597
Epoch 79/150
39/39 [==============================] - 0s 869us/step - loss: 0.5585
Epoch 80/150
39/39 [==============================] - 0s 869us/step - loss: 0.5571
Epoch 81/150
39/39 [==============================] - 0s 895us/step - loss: 0.5567
Epoch 82/150
39/39 [==============================] - 0s 895us/step - loss: 0.5555
Epoch 83/150
39/39 [==============================] - 0s 793us/step - loss: 0.5569
Epoch 84/150
39/39 [==============================] - 0s 870us/step - loss: 0.5564
Epoch 85/150
39/39 [==============================] - 0s 844us/step - loss: 0.5556
Epoch 86/150
39/39 [==============================] - 0s 946us/step - loss: 0.5539
Epoch 87/150
39/39 [==============================] - 0s 818us/step - loss: 0.5568
Epoch 88/150
39/39 [==============================] - 0s 870us/step - loss: 0.5538
Epoch 89/150
39/39 [==============================] - 0s 869us/step - loss: 0.5541
Epoch 90/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5520
Epoch 91/150
39/39 [==============================] - 0s 895us/step - loss: 0.5519
Epoch 92/150
39/39 [==============================] - 0s 870us/step - loss: 0.5522
Epoch 93/150
39/39 [==============================] - 0s 895us/step - loss: 0.5504
Epoch 94/150
39/39 [==============================] - 0s 844us/step - loss: 0.5546
Epoch 95/150
39/39 [==============================] - 0s 895us/step - loss: 0.5504
Epoch 96/150
39/39 [==============================] - 0s 921us/step - loss: 0.5507
Epoch 97/150
39/39 [==============================] - 0s 844us/step - loss: 0.5503
Epoch 98/150
39/39 [==============================] - 0s 869us/step - loss: 0.5495
Epoch 99/150
39/39 [==============================] - 0s 972us/step - loss: 0.5497
Epoch 100/150
39/39 [==============================] - 0s 869us/step - loss: 0.5520
Epoch 101/150
39/39 [==============================] - 0s 946us/step - loss: 0.5496
Epoch 102/150
39/39 [==============================] - 0s 895us/step - loss: 0.5477
Epoch 103/150
39/39 [==============================] - 0s 869us/step - loss: 0.5519
Epoch 104/150
39/39 [==============================] - 0s 844us/step - loss: 0.5476
Epoch 105/150
39/39 [==============================] - 0s 844us/step - loss: 0.5473
Epoch 106/150
39/39 [==============================] - 0s 921us/step - loss: 0.5455
Epoch 107/150
39/39 [==============================] - 0s 895us/step - loss: 0.5457
Epoch 108/150
39/39 [==============================] - 0s 921us/step - loss: 0.5454
Epoch 109/150
39/39 [==============================] - 0s 869us/step - loss: 0.5467
Epoch 110/150
39/39 [==============================] - 0s 869us/step - loss: 0.5460
Epoch 111/150
39/39 [==============================] - 0s 818us/step - loss: 0.5448
Epoch 112/150
39/39 [==============================] - 0s 844us/step - loss: 0.5444
Epoch 113/150
39/39 [==============================] - 0s 844us/step - loss: 0.5443
Epoch 114/150
39/39 [==============================] - 0s 844us/step - loss: 0.5452
Epoch 115/150
39/39 [==============================] - 0s 895us/step - loss: 0.5501
Epoch 116/150
39/39 [==============================] - 0s 844us/step - loss: 0.5456
Epoch 117/150
39/39 [==============================] - 0s 844us/step - loss: 0.5492
Epoch 118/150
39/39 [==============================] - 0s 844us/step - loss: 0.5542
Epoch 119/150
39/39 [==============================] - 0s 793us/step - loss: 0.5432
Epoch 120/150
39/39 [==============================] - 0s 869us/step - loss: 0.5447
Epoch 121/150
39/39 [==============================] - 0s 895us/step - loss: 0.5444
Epoch 122/150
39/39 [==============================] - 0s 921us/step - loss: 0.5423
Epoch 123/150
39/39 [==============================] - 0s 921us/step - loss: 0.5408
Epoch 124/150
39/39 [==============================] - 0s 895us/step - loss: 0.5413
Epoch 125/150
39/39 [==============================] - 0s 895us/step - loss: 0.5391
Epoch 126/150
39/39 [==============================] - 0s 793us/step - loss: 0.5438
Epoch 127/150
39/39 [==============================] - 0s 818us/step - loss: 0.5415
Epoch 128/150
39/39 [==============================] - 0s 869us/step - loss: 0.5400
Epoch 129/150
39/39 [==============================] - 0s 793us/step - loss: 0.5382
Epoch 130/150
39/39 [==============================] - 0s 767us/step - loss: 0.5379
Epoch 131/150
39/39 [==============================] - 0s 869us/step - loss: 0.5412
Epoch 132/150
39/39 [==============================] - 0s 818us/step - loss: 0.5394
Epoch 133/150
39/39 [==============================] - 0s 844us/step - loss: 0.5372
Epoch 134/150
39/39 [==============================] - 0s 895us/step - loss: 0.5361
Epoch 135/150
39/39 [==============================] - 0s 895us/step - loss: 0.5356
Epoch 136/150
39/39 [==============================] - 0s 869us/step - loss: 0.5378
Epoch 137/150
39/39 [==============================] - 0s 895us/step - loss: 0.5361
Epoch 138/150
39/39 [==============================] - 0s 895us/step - loss: 0.5343
Epoch 139/150
39/39 [==============================] - 0s 946us/step - loss: 0.5356
Epoch 140/150
39/39 [==============================] - 0s 921us/step - loss: 0.5343
Epoch 141/150
39/39 [==============================] - 0s 793us/step - loss: 0.5339
Epoch 142/150
39/39 [==============================] - 0s 844us/step - loss: 0.5328
Epoch 143/150
39/39 [==============================] - 0s 818us/step - loss: 0.5335
Epoch 144/150
39/39 [==============================] - 0s 870us/step - loss: 0.5347
Epoch 145/150
39/39 [==============================] - 0s 818us/step - loss: 0.5360
Epoch 146/150
39/39 [==============================] - 0s 793us/step - loss: 0.5339
Epoch 147/150
39/39 [==============================] - 0s 895us/step - loss: 0.5329
Epoch 148/150
39/39 [==============================] - 0s 921us/step - loss: 0.5324
Epoch 149/150
39/39 [==============================] - 0s 921us/step - loss: 0.5308
Epoch 150/150
39/39 [==============================] - 0s 895us/step - loss: 0.5304
###################################################################### Accuracy: 74.14538929259979
Epoch 1/150
39/39 [==============================] - 0s 949us/step - loss: 1.0007
Epoch 2/150
39/39 [==============================] - 0s 921us/step - loss: 0.9864
Epoch 3/150
39/39 [==============================] - 0s 997us/step - loss: 0.9410
Epoch 4/150
39/39 [==============================] - 0s 907us/step - loss: 0.8539
Epoch 5/150
39/39 [==============================] - 0s 895us/step - loss: 0.7649
Epoch 6/150
39/39 [==============================] - 0s 844us/step - loss: 0.6967
Epoch 7/150
39/39 [==============================] - 0s 767us/step - loss: 0.6577
Epoch 8/150
39/39 [==============================] - 0s 818us/step - loss: 0.6427
Epoch 9/150
39/39 [==============================] - 0s 895us/step - loss: 0.6333
Epoch 10/150
39/39 [==============================] - 0s 869us/step - loss: 0.6284
Epoch 11/150
39/39 [==============================] - 0s 869us/step - loss: 0.6250
Epoch 12/150
39/39 [==============================] - 0s 844us/step - loss: 0.6246
Epoch 13/150
39/39 [==============================] - 0s 819us/step - loss: 0.6180
Epoch 14/150
39/39 [==============================] - 0s 895us/step - loss: 0.6144
Epoch 15/150
39/39 [==============================] - 0s 895us/step - loss: 0.6115
Epoch 16/150
39/39 [==============================] - 0s 869us/step - loss: 0.6092
Epoch 17/150
39/39 [==============================] - 0s 921us/step - loss: 0.6079
Epoch 18/150
39/39 [==============================] - 0s 921us/step - loss: 0.6058
Epoch 19/150
39/39 [==============================] - 0s 869us/step - loss: 0.6042
Epoch 20/150
39/39 [==============================] - 0s 844us/step - loss: 0.6006
Epoch 21/150
39/39 [==============================] - 0s 869us/step - loss: 0.5988
Epoch 22/150
39/39 [==============================] - 0s 921us/step - loss: 0.5975
Epoch 23/150
39/39 [==============================] - 0s 921us/step - loss: 0.5957
Epoch 24/150
39/39 [==============================] - 0s 869us/step - loss: 0.5929
Epoch 25/150
39/39 [==============================] - 0s 869us/step - loss: 0.5917
Epoch 26/150
39/39 [==============================] - 0s 921us/step - loss: 0.5903
Epoch 27/150
39/39 [==============================] - 0s 895us/step - loss: 0.5891
Epoch 28/150
39/39 [==============================] - 0s 869us/step - loss: 0.5868
Epoch 29/150
39/39 [==============================] - 0s 895us/step - loss: 0.5883
Epoch 30/150
39/39 [==============================] - 0s 895us/step - loss: 0.5850
Epoch 31/150
39/39 [==============================] - 0s 895us/step - loss: 0.5833
Epoch 32/150
39/39 [==============================] - 0s 895us/step - loss: 0.5835
Epoch 33/150
39/39 [==============================] - 0s 844us/step - loss: 0.5812
Epoch 34/150
39/39 [==============================] - 0s 895us/step - loss: 0.5809
Epoch 35/150
39/39 [==============================] - 0s 895us/step - loss: 0.5821
Epoch 36/150
39/39 [==============================] - 0s 895us/step - loss: 0.5789
Epoch 37/150
39/39 [==============================] - 0s 921us/step - loss: 0.5789
Epoch 38/150
39/39 [==============================] - 0s 895us/step - loss: 0.5773
Epoch 39/150
39/39 [==============================] - 0s 895us/step - loss: 0.5769
Epoch 40/150
39/39 [==============================] - 0s 895us/step - loss: 0.5790
Epoch 41/150
39/39 [==============================] - 0s 870us/step - loss: 0.5766
Epoch 42/150
39/39 [==============================] - 0s 895us/step - loss: 0.5756
Epoch 43/150
39/39 [==============================] - 0s 844us/step - loss: 0.5759
Epoch 44/150
39/39 [==============================] - 0s 844us/step - loss: 0.5752
Epoch 45/150
39/39 [==============================] - 0s 895us/step - loss: 0.5730
Epoch 46/150
39/39 [==============================] - 0s 869us/step - loss: 0.5720
Epoch 47/150
39/39 [==============================] - 0s 921us/step - loss: 0.5727
Epoch 48/150
39/39 [==============================] - 0s 869us/step - loss: 0.5710
Epoch 49/150
39/39 [==============================] - 0s 869us/step - loss: 0.5696
Epoch 50/150
39/39 [==============================] - 0s 895us/step - loss: 0.5697
Epoch 51/150
39/39 [==============================] - 0s 869us/step - loss: 0.5690
Epoch 52/150
39/39 [==============================] - 0s 921us/step - loss: 0.5691
Epoch 53/150
39/39 [==============================] - 0s 895us/step - loss: 0.5702
Epoch 54/150
39/39 [==============================] - 0s 869us/step - loss: 0.5697
Epoch 55/150
39/39 [==============================] - 0s 869us/step - loss: 0.5690
Epoch 56/150
39/39 [==============================] - 0s 869us/step - loss: 0.5691
Epoch 57/150
39/39 [==============================] - 0s 895us/step - loss: 0.5679
Epoch 58/150
39/39 [==============================] - 0s 895us/step - loss: 0.5658
Epoch 59/150
39/39 [==============================] - 0s 869us/step - loss: 0.5661
Epoch 60/150
39/39 [==============================] - 0s 972us/step - loss: 0.5657
Epoch 61/150
39/39 [==============================] - 0s 921us/step - loss: 0.5659
Epoch 62/150
39/39 [==============================] - 0s 869us/step - loss: 0.5649
Epoch 63/150
39/39 [==============================] - 0s 844us/step - loss: 0.5636
Epoch 64/150
39/39 [==============================] - 0s 869us/step - loss: 0.5643
Epoch 65/150
39/39 [==============================] - 0s 869us/step - loss: 0.5639
Epoch 66/150
39/39 [==============================] - 0s 895us/step - loss: 0.5628
Epoch 67/150
39/39 [==============================] - 0s 921us/step - loss: 0.5622
Epoch 68/150
39/39 [==============================] - 0s 921us/step - loss: 0.5651
Epoch 69/150
39/39 [==============================] - 0s 921us/step - loss: 0.5654
Epoch 70/150
39/39 [==============================] - 0s 818us/step - loss: 0.5642
Epoch 71/150
39/39 [==============================] - 0s 818us/step - loss: 0.5605
Epoch 72/150
39/39 [==============================] - 0s 793us/step - loss: 0.5610
Epoch 73/150
39/39 [==============================] - 0s 844us/step - loss: 0.5595
Epoch 74/150
39/39 [==============================] - 0s 895us/step - loss: 0.5600
Epoch 75/150
39/39 [==============================] - 0s 844us/step - loss: 0.5584
Epoch 76/150
39/39 [==============================] - 0s 946us/step - loss: 0.5579
Epoch 77/150
39/39 [==============================] - 0s 895us/step - loss: 0.5600
Epoch 78/150
39/39 [==============================] - 0s 895us/step - loss: 0.5568
Epoch 79/150
39/39 [==============================] - 0s 895us/step - loss: 0.5589
Epoch 80/150
39/39 [==============================] - 0s 844us/step - loss: 0.5565
Epoch 81/150
39/39 [==============================] - 0s 844us/step - loss: 0.5563
Epoch 82/150
39/39 [==============================] - 0s 844us/step - loss: 0.5555
Epoch 83/150
39/39 [==============================] - 0s 793us/step - loss: 0.5562
Epoch 84/150
39/39 [==============================] - 0s 793us/step - loss: 0.5555
Epoch 85/150
39/39 [==============================] - 0s 844us/step - loss: 0.5539
Epoch 86/150
39/39 [==============================] - 0s 818us/step - loss: 0.5530
Epoch 87/150
39/39 [==============================] - 0s 818us/step - loss: 0.5551
Epoch 88/150
39/39 [==============================] - 0s 793us/step - loss: 0.5529
Epoch 89/150
39/39 [==============================] - 0s 869us/step - loss: 0.5534
Epoch 90/150
39/39 [==============================] - 0s 818us/step - loss: 0.5527
Epoch 91/150
39/39 [==============================] - 0s 793us/step - loss: 0.5522
Epoch 92/150
39/39 [==============================] - 0s 844us/step - loss: 0.5523
Epoch 93/150
39/39 [==============================] - 0s 869us/step - loss: 0.5517
Epoch 94/150
39/39 [==============================] - 0s 793us/step - loss: 0.5590
Epoch 95/150
39/39 [==============================] - 0s 895us/step - loss: 0.5516
Epoch 96/150
39/39 [==============================] - 0s 921us/step - loss: 0.5515
Epoch 97/150
39/39 [==============================] - 0s 818us/step - loss: 0.5503
Epoch 98/150
39/39 [==============================] - 0s 844us/step - loss: 0.5498
Epoch 99/150
39/39 [==============================] - 0s 895us/step - loss: 0.5567
Epoch 100/150
39/39 [==============================] - 0s 895us/step - loss: 0.5504
Epoch 101/150
39/39 [==============================] - 0s 869us/step - loss: 0.5510
Epoch 102/150
39/39 [==============================] - 0s 869us/step - loss: 0.5520
Epoch 103/150
39/39 [==============================] - 0s 818us/step - loss: 0.5517
Epoch 104/150
39/39 [==============================] - 0s 844us/step - loss: 0.5490
Epoch 105/150
39/39 [==============================] - 0s 844us/step - loss: 0.5476
Epoch 106/150
39/39 [==============================] - 0s 895us/step - loss: 0.5508
Epoch 107/150
39/39 [==============================] - 0s 921us/step - loss: 0.5482
Epoch 108/150
39/39 [==============================] - 0s 818us/step - loss: 0.5463
Epoch 109/150
39/39 [==============================] - 0s 895us/step - loss: 0.5473
Epoch 110/150
39/39 [==============================] - 0s 946us/step - loss: 0.5456
Epoch 111/150
39/39 [==============================] - 0s 869us/step - loss: 0.5451
Epoch 112/150
39/39 [==============================] - 0s 895us/step - loss: 0.5467
Epoch 113/150
39/39 [==============================] - 0s 844us/step - loss: 0.5446
Epoch 114/150
39/39 [==============================] - 0s 921us/step - loss: 0.5446
Epoch 115/150
39/39 [==============================] - 0s 869us/step - loss: 0.5447
Epoch 116/150
39/39 [==============================] - 0s 869us/step - loss: 0.5450
Epoch 117/150
39/39 [==============================] - 0s 869us/step - loss: 0.5491
Epoch 118/150
39/39 [==============================] - 0s 869us/step - loss: 0.5464
Epoch 119/150
39/39 [==============================] - 0s 895us/step - loss: 0.5438
Epoch 120/150
39/39 [==============================] - 0s 895us/step - loss: 0.5452
Epoch 121/150
39/39 [==============================] - 0s 869us/step - loss: 0.5428
Epoch 122/150
39/39 [==============================] - 0s 869us/step - loss: 0.5437
Epoch 123/150
39/39 [==============================] - 0s 869us/step - loss: 0.5483
Epoch 124/150
39/39 [==============================] - 0s 869us/step - loss: 0.5461
Epoch 125/150
39/39 [==============================] - 0s 870us/step - loss: 0.5439
Epoch 126/150
39/39 [==============================] - 0s 844us/step - loss: 0.5436
Epoch 127/150
39/39 [==============================] - 0s 895us/step - loss: 0.5421
Epoch 128/150
39/39 [==============================] - 0s 844us/step - loss: 0.5419
Epoch 129/150
39/39 [==============================] - 0s 946us/step - loss: 0.5412
Epoch 130/150
39/39 [==============================] - 0s 869us/step - loss: 0.5437
Epoch 131/150
39/39 [==============================] - 0s 844us/step - loss: 0.5432
Epoch 132/150
39/39 [==============================] - 0s 895us/step - loss: 0.5405
Epoch 133/150
39/39 [==============================] - 0s 895us/step - loss: 0.5407
Epoch 134/150
39/39 [==============================] - 0s 921us/step - loss: 0.5423
Epoch 135/150
39/39 [==============================] - 0s 869us/step - loss: 0.5433
Epoch 136/150
39/39 [==============================] - 0s 869us/step - loss: 0.5415
Epoch 137/150
39/39 [==============================] - 0s 869us/step - loss: 0.5404
Epoch 138/150
39/39 [==============================] - 0s 895us/step - loss: 0.5404
Epoch 139/150
39/39 [==============================] - 0s 895us/step - loss: 0.5394
Epoch 140/150
39/39 [==============================] - 0s 895us/step - loss: 0.5390
Epoch 141/150
39/39 [==============================] - 0s 869us/step - loss: 0.5403
Epoch 142/150
39/39 [==============================] - 0s 895us/step - loss: 0.5404
Epoch 143/150
39/39 [==============================] - 0s 869us/step - loss: 0.5405
Epoch 144/150
39/39 [==============================] - 0s 895us/step - loss: 0.5386
Epoch 145/150
39/39 [==============================] - 0s 844us/step - loss: 0.5384
Epoch 146/150
39/39 [==============================] - 0s 895us/step - loss: 0.5397
Epoch 147/150
39/39 [==============================] - 0s 844us/step - loss: 0.5391
Epoch 148/150
39/39 [==============================] - 0s 895us/step - loss: 0.5385
Epoch 149/150
39/39 [==============================] - 0s 895us/step - loss: 0.5393
Epoch 150/150
39/39 [==============================] - 0s 895us/step - loss: 0.5380
###################################################################### Accuracy: 73.46531717028512
Epoch 1/10
16/16 [==============================] - 0s 1ms/step - loss: 1.0188
Epoch 2/10
16/16 [==============================] - 0s 1ms/step - loss: 1.0178
Epoch 3/10
16/16 [==============================] - 0s 935us/step - loss: 1.0149
Epoch 4/10
16/16 [==============================] - 0s 1ms/step - loss: 1.0073
Epoch 5/10
16/16 [==============================] - 0s 935us/step - loss: 0.9910
Epoch 6/10
16/16 [==============================] - 0s 997us/step - loss: 0.9600
Epoch 7/10
16/16 [==============================] - 0s 936us/step - loss: 0.9105
Epoch 8/10
16/16 [==============================] - 0s 997us/step - loss: 0.8454
Epoch 9/10
16/16 [==============================] - 0s 935us/step - loss: 0.7799
Epoch 10/10
16/16 [==============================] - 0s 935us/step - loss: 0.7206
###################################################################### Accuracy: 75.92779800491701
Epoch 1/10
16/16 [==============================] - 0s 1ms/step - loss: 0.9855
Epoch 2/10
16/16 [==============================] - 0s 1ms/step - loss: 0.9818
Epoch 3/10
16/16 [==============================] - 0s 962us/step - loss: 0.9733
Epoch 4/10
16/16 [==============================] - 0s 1ms/step - loss: 0.9558
Epoch 5/10
16/16 [==============================] - 0s 997us/step - loss: 0.9194
Epoch 6/10
16/16 [==============================] - 0s 935us/step - loss: 0.8710
Epoch 7/10
16/16 [==============================] - 0s 873us/step - loss: 0.8143
Epoch 8/10
16/16 [==============================] - 0s 935us/step - loss: 0.7761
Epoch 9/10
16/16 [==============================] - 0s 827us/step - loss: 0.7484
Epoch 10/10
16/16 [==============================] - 0s 935us/step - loss: 0.7291
###################################################################### Accuracy: 103.14064782258548
Epoch 1/10
16/16 [==============================] - 0s 2ms/step - loss: 0.9768
Epoch 2/10
16/16 [==============================] - 0s 1ms/step - loss: 0.9753
Epoch 3/10
16/16 [==============================] - 0s 935us/step - loss: 0.9715
Epoch 4/10
16/16 [==============================] - 0s 935us/step - loss: 0.9620
Epoch 5/10
16/16 [==============================] - 0s 873us/step - loss: 0.9427
Epoch 6/10
16/16 [==============================] - 0s 997us/step - loss: 0.9104
Epoch 7/10
16/16 [==============================] - 0s 810us/step - loss: 0.8596
Epoch 8/10
16/16 [==============================] - 0s 935us/step - loss: 0.7929
Epoch 9/10
16/16 [==============================] - 0s 873us/step - loss: 0.7272
Epoch 10/10
16/16 [==============================] - 0s 873us/step - loss: 0.6798
###################################################################### Accuracy: 108.74631675899808
Epoch 1/10
16/16 [==============================] - 0s 1ms/step - loss: 1.0184
Epoch 2/10
16/16 [==============================] - 0s 1ms/step - loss: 1.0163
Epoch 3/10
16/16 [==============================] - 0s 1ms/step - loss: 1.0113
Epoch 4/10
16/16 [==============================] - 0s 997us/step - loss: 0.9998
Epoch 5/10
16/16 [==============================] - 0s 1ms/step - loss: 0.9791
Epoch 6/10
16/16 [==============================] - 0s 997us/step - loss: 0.9426
Epoch 7/10
16/16 [==============================] - 0s 935us/step - loss: 0.8891
Epoch 8/10
16/16 [==============================] - 0s 997us/step - loss: 0.8224
Epoch 9/10
16/16 [==============================] - 0s 936us/step - loss: 0.7555
Epoch 10/10
16/16 [==============================] - 0s 997us/step - loss: 0.6985
###################################################################### Accuracy: 85.89587396089308
Epoch 1/10
16/16 [==============================] - 0s 2ms/step - loss: 1.0006
Epoch 2/10
16/16 [==============================] - 0s 997us/step - loss: 0.9962
Epoch 3/10
16/16 [==============================] - 0s 935us/step - loss: 0.9860
Epoch 4/10
16/16 [==============================] - 0s 935us/step - loss: 0.9669
Epoch 5/10
16/16 [==============================] - 0s 873us/step - loss: 0.9354
Epoch 6/10
16/16 [==============================] - 0s 873us/step - loss: 0.8937
Epoch 7/10
16/16 [==============================] - 0s 873us/step - loss: 0.8384
Epoch 8/10
16/16 [==============================] - 0s 997us/step - loss: 0.7814
Epoch 9/10
16/16 [==============================] - 0s 935us/step - loss: 0.7264
Epoch 10/10
16/16 [==============================] - 0s 810us/step - loss: 0.6852
###################################################################### Accuracy: 84.44139051359883
Epoch 1/20
16/16 [==============================] - 0s 1ms/step - loss: 1.0185
Epoch 2/20
16/16 [==============================] - 0s 997us/step - loss: 1.0156
Epoch 3/20
16/16 [==============================] - 0s 935us/step - loss: 1.0088
Epoch 4/20
16/16 [==============================] - 0s 935us/step - loss: 0.9935
Epoch 5/20
16/16 [==============================] - 0s 935us/step - loss: 0.9644
Epoch 6/20
16/16 [==============================] - 0s 935us/step - loss: 0.9187
Epoch 7/20
16/16 [==============================] - 0s 935us/step - loss: 0.8599
Epoch 8/20
16/16 [==============================] - 0s 810us/step - loss: 0.7989
Epoch 9/20
16/16 [==============================] - 0s 1ms/step - loss: 0.7508
Epoch 10/20
16/16 [==============================] - 0s 935us/step - loss: 0.7160
Epoch 11/20
16/16 [==============================] - 0s 997us/step - loss: 0.6923
Epoch 12/20
16/16 [==============================] - 0s 873us/step - loss: 0.6723
Epoch 13/20
16/16 [==============================] - 0s 997us/step - loss: 0.6576
Epoch 14/20
16/16 [==============================] - 0s 873us/step - loss: 0.6465
Epoch 15/20
16/16 [==============================] - 0s 997us/step - loss: 0.6385
Epoch 16/20
16/16 [==============================] - 0s 873us/step - loss: 0.6332
Epoch 17/20
16/16 [==============================] - 0s 997us/step - loss: 0.6296
Epoch 18/20
16/16 [==============================] - 0s 935us/step - loss: 0.6268
Epoch 19/20
16/16 [==============================] - 0s 935us/step - loss: 0.6243
Epoch 20/20
16/16 [==============================] - 0s 935us/step - loss: 0.6228
###################################################################### Accuracy: 68.49759054029536
Epoch 1/20
16/16 [==============================] - 0s 1ms/step - loss: 0.9847
Epoch 2/20
16/16 [==============================] - 0s 1ms/step - loss: 0.9805
Epoch 3/20
16/16 [==============================] - 0s 935us/step - loss: 0.9720
Epoch 4/20
16/16 [==============================] - 0s 997us/step - loss: 0.9578
Epoch 5/20
16/16 [==============================] - 0s 935us/step - loss: 0.9331
Epoch 6/20
16/16 [==============================] - 0s 935us/step - loss: 0.8992
Epoch 7/20
16/16 [==============================] - 0s 1ms/step - loss: 0.8595
Epoch 8/20
16/16 [==============================] - 0s 873us/step - loss: 0.8220
Epoch 9/20
16/16 [==============================] - 0s 935us/step - loss: 0.7878
Epoch 10/20
16/16 [==============================] - 0s 998us/step - loss: 0.7594
Epoch 11/20
16/16 [==============================] - ETA: 0s - loss: 0.925 - 0s 935us/step - loss: 0.7331
Epoch 12/20
16/16 [==============================] - 0s 935us/step - loss: 0.7067
Epoch 13/20
16/16 [==============================] - 0s 935us/step - loss: 0.6829
Epoch 14/20
16/16 [==============================] - 0s 997us/step - loss: 0.6639
Epoch 15/20
16/16 [==============================] - 0s 935us/step - loss: 0.6507
Epoch 16/20
16/16 [==============================] - 0s 997us/step - loss: 0.6382
Epoch 17/20
16/16 [==============================] - 0s 997us/step - loss: 0.6305
Epoch 18/20
16/16 [==============================] - 0s 997us/step - loss: 0.6240
Epoch 19/20
16/16 [==============================] - 0s 935us/step - loss: 0.6184
Epoch 20/20
16/16 [==============================] - 0s 997us/step - loss: 0.6146
###################################################################### Accuracy: 75.15627397903731
Epoch 1/20
16/16 [==============================] - 0s 2ms/step - loss: 0.9756
Epoch 2/20
16/16 [==============================] - 0s 1ms/step - loss: 0.9711
Epoch 3/20
16/16 [==============================] - 0s 873us/step - loss: 0.9641
Epoch 4/20
16/16 [==============================] - 0s 873us/step - loss: 0.9501
Epoch 5/20
16/16 [==============================] - 0s 873us/step - loss: 0.9241
Epoch 6/20
16/16 [==============================] - 0s 935us/step - loss: 0.8802
Epoch 7/20
16/16 [==============================] - 0s 873us/step - loss: 0.8206
Epoch 8/20
16/16 [==============================] - 0s 810us/step - loss: 0.7563
Epoch 9/20
16/16 [==============================] - 0s 935us/step - loss: 0.6954
Epoch 10/20
16/16 [==============================] - 0s 935us/step - loss: 0.6535
Epoch 11/20
16/16 [==============================] - 0s 873us/step - loss: 0.6327
Epoch 12/20
16/16 [==============================] - 0s 997us/step - loss: 0.6235
Epoch 13/20
16/16 [==============================] - 0s 935us/step - loss: 0.6188
Epoch 14/20
16/16 [==============================] - 0s 873us/step - loss: 0.6150
Epoch 15/20
16/16 [==============================] - 0s 997us/step - loss: 0.6115
Epoch 16/20
16/16 [==============================] - 0s 997us/step - loss: 0.6088
Epoch 17/20
16/16 [==============================] - 0s 997us/step - loss: 0.6052
Epoch 18/20
16/16 [==============================] - 0s 997us/step - loss: 0.6040
Epoch 19/20
16/16 [==============================] - 0s 997us/step - loss: 0.5999
Epoch 20/20
16/16 [==============================] - 0s 935us/step - loss: 0.5985
###################################################################### Accuracy: 89.67158155361564
Epoch 1/20
16/16 [==============================] - 0s 2ms/step - loss: 1.0181
Epoch 2/20
16/16 [==============================] - 0s 1ms/step - loss: 1.0156
Epoch 3/20
16/16 [==============================] - 0s 878us/step - loss: 1.0095
Epoch 4/20
16/16 [==============================] - 0s 997us/step - loss: 0.9962
Epoch 5/20
16/16 [==============================] - 0s 1ms/step - loss: 0.9705
Epoch 6/20
16/16 [==============================] - 0s 997us/step - loss: 0.9269
Epoch 7/20
16/16 [==============================] - 0s 935us/step - loss: 0.8667
Epoch 8/20
16/16 [==============================] - 0s 997us/step - loss: 0.7975
Epoch 9/20
16/16 [==============================] - 0s 935us/step - loss: 0.7301
Epoch 10/20
16/16 [==============================] - 0s 935us/step - loss: 0.6832
Epoch 11/20
16/16 [==============================] - 0s 873us/step - loss: 0.6646
Epoch 12/20
16/16 [==============================] - 0s 997us/step - loss: 0.6504
Epoch 13/20
16/16 [==============================] - 0s 935us/step - loss: 0.6470
Epoch 14/20
16/16 [==============================] - 0s 997us/step - loss: 0.6422
Epoch 15/20
16/16 [==============================] - 0s 873us/step - loss: 0.6398
Epoch 16/20
16/16 [==============================] - 0s 810us/step - loss: 0.6368
Epoch 17/20
16/16 [==============================] - 0s 935us/step - loss: 0.6342
Epoch 18/20
16/16 [==============================] - 0s 997us/step - loss: 0.6318
Epoch 19/20
16/16 [==============================] - 0s 997us/step - loss: 0.6302
Epoch 20/20
16/16 [==============================] - 0s 1ms/step - loss: 0.6280
###################################################################### Accuracy: 72.14026481434503
Epoch 1/20
16/16 [==============================] - 0s 1ms/step - loss: 1.0001
Epoch 2/20
16/16 [==============================] - 0s 997us/step - loss: 0.9937
Epoch 3/20
16/16 [==============================] - 0s 873us/step - loss: 0.9807
Epoch 4/20
16/16 [==============================] - 0s 997us/step - loss: 0.9601
Epoch 5/20
16/16 [==============================] - 0s 935us/step - loss: 0.9293
Epoch 6/20
16/16 [==============================] - 0s 935us/step - loss: 0.8864
Epoch 7/20
16/16 [==============================] - 0s 935us/step - loss: 0.8385
Epoch 8/20
16/16 [==============================] - 0s 935us/step - loss: 0.7924
Epoch 9/20
16/16 [==============================] - 0s 997us/step - loss: 0.7502
Epoch 10/20
16/16 [==============================] - 0s 997us/step - loss: 0.7145
Epoch 11/20
16/16 [==============================] - 0s 935us/step - loss: 0.6811
Epoch 12/20
16/16 [==============================] - 0s 997us/step - loss: 0.6602
Epoch 13/20
16/16 [==============================] - 0s 935us/step - loss: 0.6448
Epoch 14/20
16/16 [==============================] - 0s 997us/step - loss: 0.6369
Epoch 15/20
16/16 [==============================] - 0s 998us/step - loss: 0.6336
Epoch 16/20
16/16 [==============================] - 0s 997us/step - loss: 0.6285
Epoch 17/20
16/16 [==============================] - 0s 873us/step - loss: 0.6260
Epoch 18/20
16/16 [==============================] - 0s 935us/step - loss: 0.6229
Epoch 19/20
16/16 [==============================] - 0s 935us/step - loss: 0.6190
Epoch 20/20
16/16 [==============================] - 0s 997us/step - loss: 0.6163
###################################################################### Accuracy: 73.25855480758476
Epoch 1/50
16/16 [==============================] - 0s 1ms/step - loss: 1.0186
Epoch 2/50
16/16 [==============================] - 0s 997us/step - loss: 1.0167
Epoch 3/50
16/16 [==============================] - 0s 873us/step - loss: 1.0123
Epoch 4/50
16/16 [==============================] - 0s 873us/step - loss: 1.0029
Epoch 5/50
16/16 [==============================] - 0s 1ms/step - loss: 0.9851
Epoch 6/50
16/16 [==============================] - 0s 935us/step - loss: 0.9533
Epoch 7/50
16/16 [==============================] - 0s 935us/step - loss: 0.9034
Epoch 8/50
16/16 [==============================] - 0s 997us/step - loss: 0.8419
Epoch 9/50
16/16 [==============================] - 0s 935us/step - loss: 0.7760
Epoch 10/50
16/16 [==============================] - 0s 1ms/step - loss: 0.7188
Epoch 11/50
16/16 [==============================] - 0s 935us/step - loss: 0.6777
Epoch 12/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6584
Epoch 13/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6495
Epoch 14/50
16/16 [==============================] - 0s 997us/step - loss: 0.6446
Epoch 15/50
16/16 [==============================] - 0s 935us/step - loss: 0.6416
Epoch 16/50
16/16 [==============================] - 0s 997us/step - loss: 0.6384
Epoch 17/50
16/16 [==============================] - 0s 873us/step - loss: 0.6364
Epoch 18/50
16/16 [==============================] - 0s 935us/step - loss: 0.6344
Epoch 19/50
16/16 [==============================] - 0s 935us/step - loss: 0.6323
Epoch 20/50
16/16 [==============================] - 0s 935us/step - loss: 0.6307
Epoch 21/50
16/16 [==============================] - 0s 935us/step - loss: 0.6292
Epoch 22/50
16/16 [==============================] - 0s 935us/step - loss: 0.6277
Epoch 23/50
16/16 [==============================] - 0s 997us/step - loss: 0.6271
Epoch 24/50
16/16 [==============================] - 0s 997us/step - loss: 0.6262
Epoch 25/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6246
Epoch 26/50
16/16 [==============================] - 0s 997us/step - loss: 0.6241
Epoch 27/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6221
Epoch 28/50
16/16 [==============================] - 0s 997us/step - loss: 0.6212
Epoch 29/50
16/16 [==============================] - 0s 935us/step - loss: 0.6204
Epoch 30/50
16/16 [==============================] - 0s 997us/step - loss: 0.6203
Epoch 31/50
16/16 [==============================] - 0s 997us/step - loss: 0.6195
Epoch 32/50
16/16 [==============================] - 0s 997us/step - loss: 0.6184
Epoch 33/50
16/16 [==============================] - 0s 997us/step - loss: 0.6173
Epoch 34/50
16/16 [==============================] - 0s 873us/step - loss: 0.6170
Epoch 35/50
16/16 [==============================] - 0s 810us/step - loss: 0.6158
Epoch 36/50
16/16 [==============================] - 0s 810us/step - loss: 0.6156
Epoch 37/50
16/16 [==============================] - 0s 873us/step - loss: 0.6145
Epoch 38/50
16/16 [==============================] - 0s 873us/step - loss: 0.6137
Epoch 39/50
16/16 [==============================] - 0s 935us/step - loss: 0.6129
Epoch 40/50
16/16 [==============================] - 0s 872us/step - loss: 0.6121
Epoch 41/50
16/16 [==============================] - 0s 873us/step - loss: 0.6118
Epoch 42/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6110
Epoch 43/50
16/16 [==============================] - 0s 935us/step - loss: 0.6103
Epoch 44/50
16/16 [==============================] - 0s 873us/step - loss: 0.6089
Epoch 45/50
16/16 [==============================] - 0s 873us/step - loss: 0.6081
Epoch 46/50
16/16 [==============================] - 0s 997us/step - loss: 0.6071
Epoch 47/50
16/16 [==============================] - 0s 997us/step - loss: 0.6062
Epoch 48/50
16/16 [==============================] - 0s 873us/step - loss: 0.6054
Epoch 49/50
16/16 [==============================] - 0s 935us/step - loss: 0.6046
Epoch 50/50
16/16 [==============================] - 0s 935us/step - loss: 0.6051
###################################################################### Accuracy: 70.55178645388847
Epoch 1/50
16/16 [==============================] - 0s 2ms/step - loss: 0.9867
Epoch 2/50
16/16 [==============================] - 0s 997us/step - loss: 0.9847
Epoch 3/50
16/16 [==============================] - 0s 873us/step - loss: 0.9807
Epoch 4/50
16/16 [==============================] - 0s 1ms/step - loss: 0.9720
Epoch 5/50
16/16 [==============================] - 0s 873us/step - loss: 0.9554
Epoch 6/50
16/16 [==============================] - 0s 935us/step - loss: 0.9267
Epoch 7/50
16/16 [==============================] - 0s 873us/step - loss: 0.8866
Epoch 8/50
16/16 [==============================] - 0s 935us/step - loss: 0.8355
Epoch 9/50
16/16 [==============================] - 0s 935us/step - loss: 0.7794
Epoch 10/50
16/16 [==============================] - 0s 873us/step - loss: 0.7251
Epoch 11/50
16/16 [==============================] - 0s 935us/step - loss: 0.6843
Epoch 12/50
16/16 [==============================] - 0s 935us/step - loss: 0.6600
Epoch 13/50
16/16 [==============================] - 0s 935us/step - loss: 0.6451
Epoch 14/50
16/16 [==============================] - 0s 935us/step - loss: 0.6378
Epoch 15/50
16/16 [==============================] - 0s 873us/step - loss: 0.6341
Epoch 16/50
16/16 [==============================] - 0s 873us/step - loss: 0.6315
Epoch 17/50
16/16 [==============================] - 0s 873us/step - loss: 0.6256
Epoch 18/50
16/16 [==============================] - 0s 935us/step - loss: 0.6228
Epoch 19/50
16/16 [==============================] - 0s 873us/step - loss: 0.6190
Epoch 20/50
16/16 [==============================] - 0s 873us/step - loss: 0.6177
Epoch 21/50
16/16 [==============================] - 0s 935us/step - loss: 0.6128
Epoch 22/50
16/16 [==============================] - 0s 810us/step - loss: 0.6113
Epoch 23/50
16/16 [==============================] - 0s 935us/step - loss: 0.6070
Epoch 24/50
16/16 [==============================] - 0s 935us/step - loss: 0.6052
Epoch 25/50
16/16 [==============================] - 0s 935us/step - loss: 0.6022
Epoch 26/50
16/16 [==============================] - 0s 997us/step - loss: 0.5998
Epoch 27/50
16/16 [==============================] - 0s 997us/step - loss: 0.5981
Epoch 28/50
16/16 [==============================] - 0s 935us/step - loss: 0.5962
Epoch 29/50
16/16 [==============================] - 0s 873us/step - loss: 0.5944
Epoch 30/50
16/16 [==============================] - 0s 873us/step - loss: 0.5916
Epoch 31/50
16/16 [==============================] - 0s 997us/step - loss: 0.5904
Epoch 32/50
16/16 [==============================] - 0s 997us/step - loss: 0.5892
Epoch 33/50
16/16 [==============================] - 0s 1ms/step - loss: 0.5867
Epoch 34/50
16/16 [==============================] - 0s 935us/step - loss: 0.5859
Epoch 35/50
16/16 [==============================] - 0s 997us/step - loss: 0.5858
Epoch 36/50
16/16 [==============================] - 0s 997us/step - loss: 0.5823
Epoch 37/50
16/16 [==============================] - 0s 935us/step - loss: 0.5822
Epoch 38/50
16/16 [==============================] - 0s 873us/step - loss: 0.5808
Epoch 39/50
16/16 [==============================] - 0s 997us/step - loss: 0.5800
Epoch 40/50
16/16 [==============================] - 0s 997us/step - loss: 0.5788
Epoch 41/50
16/16 [==============================] - 0s 935us/step - loss: 0.5790
Epoch 42/50
16/16 [==============================] - 0s 997us/step - loss: 0.5767
Epoch 43/50
16/16 [==============================] - 0s 873us/step - loss: 0.5757
Epoch 44/50
16/16 [==============================] - 0s 935us/step - loss: 0.5750
Epoch 45/50
16/16 [==============================] - 0s 873us/step - loss: 0.5752
Epoch 46/50
16/16 [==============================] - 0s 935us/step - loss: 0.5737
Epoch 47/50
16/16 [==============================] - 0s 935us/step - loss: 0.5730
Epoch 48/50
16/16 [==============================] - 0s 997us/step - loss: 0.5721
Epoch 49/50
16/16 [==============================] - 0s 997us/step - loss: 0.5727
Epoch 50/50
16/16 [==============================] - 0s 997us/step - loss: 0.5717
###################################################################### Accuracy: 71.58708389754075
Epoch 1/50
16/16 [==============================] - 0s 1ms/step - loss: 0.9760
Epoch 2/50
16/16 [==============================] - 0s 997us/step - loss: 0.9732
Epoch 3/50
16/16 [==============================] - 0s 935us/step - loss: 0.9671
Epoch 4/50
16/16 [==============================] - 0s 873us/step - loss: 0.9548
Epoch 5/50
16/16 [==============================] - 0s 935us/step - loss: 0.9298
Epoch 6/50
16/16 [==============================] - 0s 873us/step - loss: 0.8876
Epoch 7/50
16/16 [==============================] - 0s 997us/step - loss: 0.8277
Epoch 8/50
16/16 [==============================] - 0s 935us/step - loss: 0.7586
Epoch 9/50
16/16 [==============================] - 0s 935us/step - loss: 0.6996
Epoch 10/50
16/16 [==============================] - 0s 935us/step - loss: 0.6640
Epoch 11/50
16/16 [==============================] - 0s 997us/step - loss: 0.6441
Epoch 12/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6327
Epoch 13/50
16/16 [==============================] - 0s 935us/step - loss: 0.6279
Epoch 14/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6243
Epoch 15/50
16/16 [==============================] - 0s 935us/step - loss: 0.6231
Epoch 16/50
16/16 [==============================] - 0s 997us/step - loss: 0.6215
Epoch 17/50
16/16 [==============================] - 0s 873us/step - loss: 0.6200
Epoch 18/50
16/16 [==============================] - 0s 873us/step - loss: 0.6180
Epoch 19/50
16/16 [==============================] - 0s 935us/step - loss: 0.6169
Epoch 20/50
16/16 [==============================] - 0s 997us/step - loss: 0.6161
Epoch 21/50
16/16 [==============================] - 0s 935us/step - loss: 0.6135
Epoch 22/50
16/16 [==============================] - 0s 997us/step - loss: 0.6122
Epoch 23/50
16/16 [==============================] - 0s 935us/step - loss: 0.6119
Epoch 24/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6103
Epoch 25/50
16/16 [==============================] - 0s 935us/step - loss: 0.6089
Epoch 26/50
16/16 [==============================] - 0s 935us/step - loss: 0.6075
Epoch 27/50
16/16 [==============================] - 0s 935us/step - loss: 0.6061
Epoch 28/50
16/16 [==============================] - 0s 997us/step - loss: 0.6047
Epoch 29/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6039
Epoch 30/50
16/16 [==============================] - 0s 997us/step - loss: 0.6028
Epoch 31/50
16/16 [==============================] - 0s 997us/step - loss: 0.6009
Epoch 32/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6007
Epoch 33/50
16/16 [==============================] - 0s 997us/step - loss: 0.5987
Epoch 34/50
16/16 [==============================] - 0s 935us/step - loss: 0.5981
Epoch 35/50
16/16 [==============================] - 0s 873us/step - loss: 0.5967
Epoch 36/50
16/16 [==============================] - 0s 935us/step - loss: 0.5965
Epoch 37/50
16/16 [==============================] - 0s 935us/step - loss: 0.5950
Epoch 38/50
16/16 [==============================] - 0s 873us/step - loss: 0.5938
Epoch 39/50
16/16 [==============================] - 0s 935us/step - loss: 0.5922
Epoch 40/50
16/16 [==============================] - 0s 935us/step - loss: 0.5903
Epoch 41/50
16/16 [==============================] - 0s 935us/step - loss: 0.5906
Epoch 42/50
16/16 [==============================] - 0s 997us/step - loss: 0.5895
Epoch 43/50
16/16 [==============================] - 0s 872us/step - loss: 0.5874
Epoch 44/50
16/16 [==============================] - 0s 1ms/step - loss: 0.5865
Epoch 45/50
16/16 [==============================] - 0s 873us/step - loss: 0.5850
Epoch 46/50
16/16 [==============================] - 0s 997us/step - loss: 0.5846
Epoch 47/50
16/16 [==============================] - 0s 997us/step - loss: 0.5824
Epoch 48/50
16/16 [==============================] - 0s 997us/step - loss: 0.5821
Epoch 49/50
16/16 [==============================] - 0s 873us/step - loss: 0.5817
Epoch 50/50
16/16 [==============================] - 0s 997us/step - loss: 0.5823
###################################################################### Accuracy: 89.92417960202916
Epoch 1/50
16/16 [==============================] - 0s 2ms/step - loss: 1.0189
Epoch 2/50
16/16 [==============================] - 0s 997us/step - loss: 1.0168
Epoch 3/50
16/16 [==============================] - 0s 873us/step - loss: 1.0127
Epoch 4/50
16/16 [==============================] - 0s 873us/step - loss: 1.0034
Epoch 5/50
16/16 [==============================] - 0s 935us/step - loss: 0.9837
Epoch 6/50
16/16 [==============================] - 0s 997us/step - loss: 0.9509
Epoch 7/50
16/16 [==============================] - 0s 935us/step - loss: 0.9047
Epoch 8/50
16/16 [==============================] - 0s 935us/step - loss: 0.8487
Epoch 9/50
16/16 [==============================] - 0s 873us/step - loss: 0.7978
Epoch 10/50
16/16 [==============================] - 0s 873us/step - loss: 0.7576
Epoch 11/50
16/16 [==============================] - 0s 935us/step - loss: 0.7243
Epoch 12/50
16/16 [==============================] - 0s 935us/step - loss: 0.6952
Epoch 13/50
16/16 [==============================] - 0s 935us/step - loss: 0.6748
Epoch 14/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6629
Epoch 15/50
16/16 [==============================] - 0s 935us/step - loss: 0.6540
Epoch 16/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6489
Epoch 17/50
16/16 [==============================] - 0s 935us/step - loss: 0.6446
Epoch 18/50
16/16 [==============================] - 0s 997us/step - loss: 0.6415
Epoch 19/50
16/16 [==============================] - 0s 935us/step - loss: 0.6416
Epoch 20/50
16/16 [==============================] - 0s 935us/step - loss: 0.6370
Epoch 21/50
16/16 [==============================] - 0s 935us/step - loss: 0.6350
Epoch 22/50
16/16 [==============================] - 0s 997us/step - loss: 0.6329
Epoch 23/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6314
Epoch 24/50
16/16 [==============================] - 0s 935us/step - loss: 0.6300
Epoch 25/50
16/16 [==============================] - 0s 997us/step - loss: 0.6294
Epoch 26/50
16/16 [==============================] - 0s 997us/step - loss: 0.6289
Epoch 27/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6258
Epoch 28/50
16/16 [==============================] - 0s 935us/step - loss: 0.6248
Epoch 29/50
16/16 [==============================] - 0s 935us/step - loss: 0.6239
Epoch 30/50
16/16 [==============================] - 0s 2ms/step - loss: 0.6233
Epoch 31/50
16/16 [==============================] - 0s 997us/step - loss: 0.6211
Epoch 32/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6210
Epoch 33/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6190
Epoch 34/50
16/16 [==============================] - 0s 935us/step - loss: 0.6189
Epoch 35/50
16/16 [==============================] - 0s 873us/step - loss: 0.6175
Epoch 36/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6164
Epoch 37/50
16/16 [==============================] - 0s 873us/step - loss: 0.6160
Epoch 38/50
16/16 [==============================] - 0s 873us/step - loss: 0.6149
Epoch 39/50
16/16 [==============================] - 0s 997us/step - loss: 0.6134
Epoch 40/50
16/16 [==============================] - 0s 873us/step - loss: 0.6122
Epoch 41/50
16/16 [==============================] - 0s 873us/step - loss: 0.6119
Epoch 42/50
16/16 [==============================] - 0s 997us/step - loss: 0.6107
Epoch 43/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6104
Epoch 44/50
16/16 [==============================] - 0s 873us/step - loss: 0.6083
Epoch 45/50
16/16 [==============================] - 0s 935us/step - loss: 0.6083
Epoch 46/50
16/16 [==============================] - 0s 873us/step - loss: 0.6064
Epoch 47/50
16/16 [==============================] - 0s 935us/step - loss: 0.6075
Epoch 48/50
16/16 [==============================] - 0s 873us/step - loss: 0.6059
Epoch 49/50
16/16 [==============================] - 0s 935us/step - loss: 0.6055
Epoch 50/50
16/16 [==============================] - 0s 873us/step - loss: 0.6037
###################################################################### Accuracy: 73.25756665703602
Epoch 1/50
16/16 [==============================] - 0s 2ms/step - loss: 1.0018
Epoch 2/50
16/16 [==============================] - 0s 941us/step - loss: 0.9995
Epoch 3/50
16/16 [==============================] - 0s 997us/step - loss: 0.9940
Epoch 4/50
16/16 [==============================] - 0s 935us/step - loss: 0.9811
Epoch 5/50
16/16 [==============================] - 0s 997us/step - loss: 0.9570
Epoch 6/50
16/16 [==============================] - 0s 997us/step - loss: 0.9218
Epoch 7/50
16/16 [==============================] - 0s 935us/step - loss: 0.8745
Epoch 8/50
16/16 [==============================] - 0s 997us/step - loss: 0.8225
Epoch 9/50
16/16 [==============================] - 0s 873us/step - loss: 0.7709
Epoch 10/50
16/16 [==============================] - 0s 935us/step - loss: 0.7268
Epoch 11/50
16/16 [==============================] - 0s 997us/step - loss: 0.6920
Epoch 12/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6669
Epoch 13/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6498
Epoch 14/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6408
Epoch 15/50
16/16 [==============================] - 0s 935us/step - loss: 0.6352
Epoch 16/50
16/16 [==============================] - 0s 935us/step - loss: 0.6311
Epoch 17/50
16/16 [==============================] - 0s 997us/step - loss: 0.6274
Epoch 18/50
16/16 [==============================] - 0s 935us/step - loss: 0.6257
Epoch 19/50
16/16 [==============================] - 0s 935us/step - loss: 0.6231
Epoch 20/50
16/16 [==============================] - 0s 935us/step - loss: 0.6215
Epoch 21/50
16/16 [==============================] - 0s 873us/step - loss: 0.6200
Epoch 22/50
16/16 [==============================] - 0s 997us/step - loss: 0.6166
Epoch 23/50
16/16 [==============================] - 0s 997us/step - loss: 0.6145
Epoch 24/50
16/16 [==============================] - 0s 997us/step - loss: 0.6127
Epoch 25/50
16/16 [==============================] - 0s 935us/step - loss: 0.6113
Epoch 26/50
16/16 [==============================] - 0s 935us/step - loss: 0.6102
Epoch 27/50
16/16 [==============================] - 0s 997us/step - loss: 0.6087
Epoch 28/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6066
Epoch 29/50
16/16 [==============================] - 0s 935us/step - loss: 0.6059
Epoch 30/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6033
Epoch 31/50
16/16 [==============================] - 0s 873us/step - loss: 0.6019
Epoch 32/50
16/16 [==============================] - 0s 997us/step - loss: 0.6008
Epoch 33/50
16/16 [==============================] - 0s 935us/step - loss: 0.5995
Epoch 34/50
16/16 [==============================] - 0s 1ms/step - loss: 0.5985
Epoch 35/50
16/16 [==============================] - 0s 997us/step - loss: 0.5969
Epoch 36/50
16/16 [==============================] - 0s 997us/step - loss: 0.5958
Epoch 37/50
16/16 [==============================] - 0s 935us/step - loss: 0.5942
Epoch 38/50
16/16 [==============================] - 0s 873us/step - loss: 0.5926
Epoch 39/50
16/16 [==============================] - 0s 935us/step - loss: 0.5914
Epoch 40/50
16/16 [==============================] - 0s 1ms/step - loss: 0.5902
Epoch 41/50
16/16 [==============================] - 0s 935us/step - loss: 0.5903
Epoch 42/50
16/16 [==============================] - 0s 935us/step - loss: 0.5893
Epoch 43/50
16/16 [==============================] - 0s 935us/step - loss: 0.5876
Epoch 44/50
16/16 [==============================] - 0s 873us/step - loss: 0.5861
Epoch 45/50
16/16 [==============================] - ETA: 0s - loss: 0.565 - 0s 998us/step - loss: 0.5857
Epoch 46/50
16/16 [==============================] - 0s 997us/step - loss: 0.5836
Epoch 47/50
16/16 [==============================] - 0s 935us/step - loss: 0.5831
Epoch 48/50
16/16 [==============================] - 0s 1ms/step - loss: 0.5825
Epoch 49/50
16/16 [==============================] - 0s 873us/step - loss: 0.5828
Epoch 50/50
16/16 [==============================] - 0s 810us/step - loss: 0.5802
###################################################################### Accuracy: 71.47280970997403
Epoch 1/100
16/16 [==============================] - 0s 1ms/step - loss: 1.0191
Epoch 2/100
16/16 [==============================] - 0s 997us/step - loss: 1.0173
Epoch 3/100
16/16 [==============================] - 0s 997us/step - loss: 1.0123
Epoch 4/100
16/16 [==============================] - 0s 1ms/step - loss: 1.0002
Epoch 5/100
16/16 [==============================] - 0s 997us/step - loss: 0.9770
Epoch 6/100
16/16 [==============================] - 0s 997us/step - loss: 0.9374
Epoch 7/100
16/16 [==============================] - 0s 873us/step - loss: 0.8820
Epoch 8/100
16/16 [==============================] - 0s 997us/step - loss: 0.8190
Epoch 9/100
16/16 [==============================] - 0s 810us/step - loss: 0.7575
Epoch 10/100
16/16 [==============================] - 0s 935us/step - loss: 0.7047
Epoch 11/100
16/16 [==============================] - 0s 935us/step - loss: 0.6714
Epoch 12/100
16/16 [==============================] - 0s 997us/step - loss: 0.6518
Epoch 13/100
16/16 [==============================] - 0s 997us/step - loss: 0.6402
Epoch 14/100
16/16 [==============================] - 0s 935us/step - loss: 0.6362
Epoch 15/100
16/16 [==============================] - 0s 935us/step - loss: 0.6313
Epoch 16/100
16/16 [==============================] - 0s 935us/step - loss: 0.6290
Epoch 17/100
16/16 [==============================] - 0s 935us/step - loss: 0.6252
Epoch 18/100
16/16 [==============================] - 0s 1ms/step - loss: 0.6243
Epoch 19/100
16/16 [==============================] - 0s 997us/step - loss: 0.6223
Epoch 20/100
16/16 [==============================] - 0s 997us/step - loss: 0.6187
Epoch 21/100
16/16 [==============================] - 0s 997us/step - loss: 0.6173
Epoch 22/100
16/16 [==============================] - 0s 873us/step - loss: 0.6151
Epoch 23/100
16/16 [==============================] - 0s 935us/step - loss: 0.6119
Epoch 24/100
16/16 [==============================] - 0s 935us/step - loss: 0.6103
Epoch 25/100
16/16 [==============================] - 0s 997us/step - loss: 0.6079
Epoch 26/100
16/16 [==============================] - 0s 935us/step - loss: 0.6058
Epoch 27/100
16/16 [==============================] - 0s 873us/step - loss: 0.6034
Epoch 28/100
16/16 [==============================] - 0s 935us/step - loss: 0.6043
Epoch 29/100
16/16 [==============================] - 0s 873us/step - loss: 0.5997
Epoch 30/100
16/16 [==============================] - 0s 873us/step - loss: 0.5976
Epoch 31/100
16/16 [==============================] - 0s 873us/step - loss: 0.5968
Epoch 32/100
16/16 [==============================] - 0s 810us/step - loss: 0.5943
Epoch 33/100
16/16 [==============================] - 0s 935us/step - loss: 0.5919
Epoch 34/100
16/16 [==============================] - 0s 935us/step - loss: 0.5908
Epoch 35/100
16/16 [==============================] - 0s 873us/step - loss: 0.5904
Epoch 36/100
16/16 [==============================] - 0s 935us/step - loss: 0.5873
Epoch 37/100
16/16 [==============================] - 0s 873us/step - loss: 0.5852
Epoch 38/100
16/16 [==============================] - 0s 935us/step - loss: 0.5841
Epoch 39/100
16/16 [==============================] - 0s 873us/step - loss: 0.5821
Epoch 40/100
16/16 [==============================] - 0s 873us/step - loss: 0.5803
Epoch 41/100
16/16 [==============================] - 0s 997us/step - loss: 0.5790
Epoch 42/100
16/16 [==============================] - 0s 935us/step - loss: 0.5779
Epoch 43/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5765
Epoch 44/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5755
Epoch 45/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5736
Epoch 46/100
16/16 [==============================] - 0s 997us/step - loss: 0.5734
Epoch 47/100
16/16 [==============================] - 0s 935us/step - loss: 0.5721
Epoch 48/100
16/16 [==============================] - 0s 935us/step - loss: 0.5708
Epoch 49/100
16/16 [==============================] - 0s 997us/step - loss: 0.5703
Epoch 50/100
16/16 [==============================] - 0s 997us/step - loss: 0.5702
Epoch 51/100
16/16 [==============================] - 0s 935us/step - loss: 0.5689
Epoch 52/100
16/16 [==============================] - 0s 997us/step - loss: 0.5682
Epoch 53/100
16/16 [==============================] - 0s 997us/step - loss: 0.5678
Epoch 54/100
16/16 [==============================] - 0s 998us/step - loss: 0.5665
Epoch 55/100
16/16 [==============================] - 0s 935us/step - loss: 0.5661
Epoch 56/100
16/16 [==============================] - 0s 935us/step - loss: 0.5653
Epoch 57/100
16/16 [==============================] - 0s 935us/step - loss: 0.5651
Epoch 58/100
16/16 [==============================] - 0s 873us/step - loss: 0.5662
Epoch 59/100
16/16 [==============================] - 0s 997us/step - loss: 0.5652
Epoch 60/100
16/16 [==============================] - 0s 997us/step - loss: 0.5636
Epoch 61/100
16/16 [==============================] - 0s 873us/step - loss: 0.5635
Epoch 62/100
16/16 [==============================] - 0s 997us/step - loss: 0.5632
Epoch 63/100
16/16 [==============================] - 0s 873us/step - loss: 0.5645
Epoch 64/100
16/16 [==============================] - 0s 997us/step - loss: 0.5617
Epoch 65/100
16/16 [==============================] - 0s 935us/step - loss: 0.5607
Epoch 66/100
16/16 [==============================] - 0s 998us/step - loss: 0.5622
Epoch 67/100
16/16 [==============================] - 0s 873us/step - loss: 0.5599
Epoch 68/100
16/16 [==============================] - 0s 997us/step - loss: 0.5603
Epoch 69/100
16/16 [==============================] - 0s 935us/step - loss: 0.5612
Epoch 70/100
16/16 [==============================] - 0s 997us/step - loss: 0.5595
Epoch 71/100
16/16 [==============================] - 0s 935us/step - loss: 0.5614
Epoch 72/100
16/16 [==============================] - 0s 997us/step - loss: 0.5577
Epoch 73/100
16/16 [==============================] - 0s 997us/step - loss: 0.5580
Epoch 74/100
16/16 [==============================] - 0s 997us/step - loss: 0.5566
Epoch 75/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5565
Epoch 76/100
16/16 [==============================] - 0s 997us/step - loss: 0.5563
Epoch 77/100
16/16 [==============================] - 0s 997us/step - loss: 0.5567
Epoch 78/100
16/16 [==============================] - 0s 935us/step - loss: 0.5554
Epoch 79/100
16/16 [==============================] - 0s 997us/step - loss: 0.5547
Epoch 80/100
16/16 [==============================] - 0s 935us/step - loss: 0.5542
Epoch 81/100
16/16 [==============================] - 0s 997us/step - loss: 0.5541
Epoch 82/100
16/16 [==============================] - 0s 935us/step - loss: 0.5547
Epoch 83/100
16/16 [==============================] - 0s 997us/step - loss: 0.5535
Epoch 84/100
16/16 [==============================] - 0s 873us/step - loss: 0.5530
Epoch 85/100
16/16 [==============================] - 0s 997us/step - loss: 0.5522
Epoch 86/100
16/16 [==============================] - 0s 935us/step - loss: 0.5519
Epoch 87/100
16/16 [==============================] - 0s 810us/step - loss: 0.5519
Epoch 88/100
16/16 [==============================] - 0s 997us/step - loss: 0.5520
Epoch 89/100
16/16 [==============================] - 0s 935us/step - loss: 0.5518
Epoch 90/100
16/16 [==============================] - 0s 873us/step - loss: 0.5511
Epoch 91/100
16/16 [==============================] - 0s 935us/step - loss: 0.5508
Epoch 92/100
16/16 [==============================] - 0s 935us/step - loss: 0.5500
Epoch 93/100
16/16 [==============================] - 0s 873us/step - loss: 0.5511
Epoch 94/100
16/16 [==============================] - 0s 997us/step - loss: 0.5502
Epoch 95/100
16/16 [==============================] - 0s 873us/step - loss: 0.5494
Epoch 96/100
16/16 [==============================] - 0s 810us/step - loss: 0.5494
Epoch 97/100
16/16 [==============================] - 0s 935us/step - loss: 0.5494
Epoch 98/100
16/16 [==============================] - 0s 935us/step - loss: 0.5486
Epoch 99/100
16/16 [==============================] - 0s 935us/step - loss: 0.5479
Epoch 100/100
16/16 [==============================] - 0s 997us/step - loss: 0.5485
###################################################################### Accuracy: 72.08416503033311
Epoch 1/100
16/16 [==============================] - 0s 2ms/step - loss: 0.9850
Epoch 2/100
16/16 [==============================] - 0s 997us/step - loss: 0.9810
Epoch 3/100
16/16 [==============================] - 0s 935us/step - loss: 0.9729
Epoch 4/100
16/16 [==============================] - 0s 997us/step - loss: 0.9551
Epoch 5/100
16/16 [==============================] - 0s 997us/step - loss: 0.9234
Epoch 6/100
16/16 [==============================] - 0s 1ms/step - loss: 0.8765
Epoch 7/100
16/16 [==============================] - 0s 873us/step - loss: 0.8155
Epoch 8/100
16/16 [==============================] - 0s 873us/step - loss: 0.7582
Epoch 9/100
16/16 [==============================] - 0s 873us/step - loss: 0.7115
Epoch 10/100
16/16 [==============================] - 0s 873us/step - loss: 0.6821
Epoch 11/100
16/16 [==============================] - 0s 873us/step - loss: 0.6616
Epoch 12/100
16/16 [==============================] - 0s 997us/step - loss: 0.6487
Epoch 13/100
16/16 [==============================] - 0s 810us/step - loss: 0.6423
Epoch 14/100
16/16 [==============================] - 0s 935us/step - loss: 0.6394
Epoch 15/100
16/16 [==============================] - 0s 935us/step - loss: 0.6380
Epoch 16/100
16/16 [==============================] - 0s 935us/step - loss: 0.6333
Epoch 17/100
16/16 [==============================] - 0s 935us/step - loss: 0.6305
Epoch 18/100
16/16 [==============================] - 0s 997us/step - loss: 0.6281
Epoch 19/100
16/16 [==============================] - 0s 873us/step - loss: 0.6255
Epoch 20/100
16/16 [==============================] - 0s 935us/step - loss: 0.6236
Epoch 21/100
16/16 [==============================] - 0s 935us/step - loss: 0.6219
Epoch 22/100
16/16 [==============================] - 0s 935us/step - loss: 0.6190
Epoch 23/100
16/16 [==============================] - 0s 997us/step - loss: 0.6172
Epoch 24/100
16/16 [==============================] - 0s 997us/step - loss: 0.6148
Epoch 25/100
16/16 [==============================] - 0s 935us/step - loss: 0.6143
Epoch 26/100
16/16 [==============================] - 0s 935us/step - loss: 0.6122
Epoch 27/100
16/16 [==============================] - 0s 997us/step - loss: 0.6092
Epoch 28/100
16/16 [==============================] - 0s 935us/step - loss: 0.6075
Epoch 29/100
16/16 [==============================] - 0s 1ms/step - loss: 0.6053
Epoch 30/100
16/16 [==============================] - 0s 935us/step - loss: 0.6040
Epoch 31/100
16/16 [==============================] - 0s 997us/step - loss: 0.6038
Epoch 32/100
16/16 [==============================] - 0s 935us/step - loss: 0.6026
Epoch 33/100
16/16 [==============================] - 0s 935us/step - loss: 0.6001
Epoch 34/100
16/16 [==============================] - 0s 935us/step - loss: 0.5988
Epoch 35/100
16/16 [==============================] - 0s 935us/step - loss: 0.5978
Epoch 36/100
16/16 [==============================] - 0s 997us/step - loss: 0.5961
Epoch 37/100
16/16 [==============================] - 0s 935us/step - loss: 0.5939
Epoch 38/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5936
Epoch 39/100
16/16 [==============================] - 0s 935us/step - loss: 0.5932
Epoch 40/100
16/16 [==============================] - 0s 997us/step - loss: 0.5906
Epoch 41/100
16/16 [==============================] - 0s 997us/step - loss: 0.5900
Epoch 42/100
16/16 [==============================] - 0s 997us/step - loss: 0.5886
Epoch 43/100
16/16 [==============================] - 0s 935us/step - loss: 0.5887
Epoch 44/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5874
Epoch 45/100
16/16 [==============================] - 0s 935us/step - loss: 0.5864
Epoch 46/100
16/16 [==============================] - 0s 935us/step - loss: 0.5850
Epoch 47/100
16/16 [==============================] - 0s 935us/step - loss: 0.5842
Epoch 48/100
16/16 [==============================] - 0s 935us/step - loss: 0.5835
Epoch 49/100
16/16 [==============================] - 0s 935us/step - loss: 0.5819
Epoch 50/100
16/16 [==============================] - 0s 873us/step - loss: 0.5817
Epoch 51/100
16/16 [==============================] - 0s 997us/step - loss: 0.5820
Epoch 52/100
16/16 [==============================] - 0s 873us/step - loss: 0.5808
Epoch 53/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5792
Epoch 54/100
16/16 [==============================] - 0s 997us/step - loss: 0.5790
Epoch 55/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5787
Epoch 56/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5773
Epoch 57/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5775
Epoch 58/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5772
Epoch 59/100
16/16 [==============================] - 0s 873us/step - loss: 0.5761
Epoch 60/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5749
Epoch 61/100
16/16 [==============================] - 0s 873us/step - loss: 0.5746
Epoch 62/100
16/16 [==============================] - 0s 997us/step - loss: 0.5746
Epoch 63/100
16/16 [==============================] - 0s 873us/step - loss: 0.5736
Epoch 64/100
16/16 [==============================] - 0s 997us/step - loss: 0.5732
Epoch 65/100
16/16 [==============================] - ETA: 0s - loss: 0.541 - 0s 1ms/step - loss: 0.5749
Epoch 66/100
16/16 [==============================] - 0s 997us/step - loss: 0.5742
Epoch 67/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5722
Epoch 68/100
16/16 [==============================] - 0s 997us/step - loss: 0.5725
Epoch 69/100
16/16 [==============================] - 0s 997us/step - loss: 0.5719
Epoch 70/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5710
Epoch 71/100
16/16 [==============================] - 0s 997us/step - loss: 0.5703
Epoch 72/100
16/16 [==============================] - 0s 997us/step - loss: 0.5703
Epoch 73/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5700
Epoch 74/100
16/16 [==============================] - 0s 935us/step - loss: 0.5698
Epoch 75/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5696
Epoch 76/100
16/16 [==============================] - 0s 997us/step - loss: 0.5693
Epoch 77/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5700
Epoch 78/100
16/16 [==============================] - 0s 935us/step - loss: 0.5688
Epoch 79/100
16/16 [==============================] - 0s 873us/step - loss: 0.5678
Epoch 80/100
16/16 [==============================] - 0s 997us/step - loss: 0.5687
Epoch 81/100
16/16 [==============================] - 0s 873us/step - loss: 0.5678
Epoch 82/100
16/16 [==============================] - 0s 935us/step - loss: 0.5670
Epoch 83/100
16/16 [==============================] - 0s 935us/step - loss: 0.5663
Epoch 84/100
16/16 [==============================] - 0s 935us/step - loss: 0.5662
Epoch 85/100
16/16 [==============================] - 0s 935us/step - loss: 0.5661
Epoch 86/100
16/16 [==============================] - 0s 935us/step - loss: 0.5654
Epoch 87/100
16/16 [==============================] - 0s 873us/step - loss: 0.5656
Epoch 88/100
16/16 [==============================] - 0s 997us/step - loss: 0.5663
Epoch 89/100
16/16 [==============================] - 0s 873us/step - loss: 0.5650
Epoch 90/100
16/16 [==============================] - 0s 935us/step - loss: 0.5647
Epoch 91/100
16/16 [==============================] - 0s 997us/step - loss: 0.5657
Epoch 92/100
16/16 [==============================] - 0s 810us/step - loss: 0.5662
Epoch 93/100
16/16 [==============================] - 0s 873us/step - loss: 0.5651
Epoch 94/100
16/16 [==============================] - 0s 935us/step - loss: 0.5658
Epoch 95/100
16/16 [==============================] - 0s 872us/step - loss: 0.5636
Epoch 96/100
16/16 [==============================] - 0s 873us/step - loss: 0.5630
Epoch 97/100
16/16 [==============================] - 0s 935us/step - loss: 0.5632
Epoch 98/100
16/16 [==============================] - 0s 935us/step - loss: 0.5629
Epoch 99/100
16/16 [==============================] - 0s 873us/step - loss: 0.5632
Epoch 100/100
16/16 [==============================] - 0s 935us/step - loss: 0.5622
###################################################################### Accuracy: 73.74531590805057
Epoch 1/100
16/16 [==============================] - 0s 1ms/step - loss: 0.9764
Epoch 2/100
16/16 [==============================] - 0s 1ms/step - loss: 0.9739
Epoch 3/100
16/16 [==============================] - 0s 997us/step - loss: 0.9679
Epoch 4/100
16/16 [==============================] - 0s 1ms/step - loss: 0.9551
Epoch 5/100
16/16 [==============================] - 0s 935us/step - loss: 0.9297
Epoch 6/100
16/16 [==============================] - 0s 935us/step - loss: 0.8939
Epoch 7/100
16/16 [==============================] - 0s 935us/step - loss: 0.8401
Epoch 8/100
16/16 [==============================] - 0s 997us/step - loss: 0.7837
Epoch 9/100
16/16 [==============================] - 0s 935us/step - loss: 0.7211
Epoch 10/100
16/16 [==============================] - 0s 935us/step - loss: 0.6731
Epoch 11/100
16/16 [==============================] - 0s 1ms/step - loss: 0.6432
Epoch 12/100
16/16 [==============================] - 0s 935us/step - loss: 0.6317
Epoch 13/100
16/16 [==============================] - 0s 997us/step - loss: 0.6242
Epoch 14/100
16/16 [==============================] - 0s 1ms/step - loss: 0.6205
Epoch 15/100
16/16 [==============================] - 0s 997us/step - loss: 0.6170
Epoch 16/100
16/16 [==============================] - 0s 873us/step - loss: 0.6158
Epoch 17/100
16/16 [==============================] - 0s 935us/step - loss: 0.6122
Epoch 18/100
16/16 [==============================] - 0s 997us/step - loss: 0.6098
Epoch 19/100
16/16 [==============================] - 0s 935us/step - loss: 0.6085
Epoch 20/100
16/16 [==============================] - 0s 997us/step - loss: 0.6068
Epoch 21/100
16/16 [==============================] - 0s 935us/step - loss: 0.6031
Epoch 22/100
16/16 [==============================] - 0s 935us/step - loss: 0.6012
Epoch 23/100
16/16 [==============================] - 0s 997us/step - loss: 0.5983
Epoch 24/100
16/16 [==============================] - 0s 935us/step - loss: 0.5966
Epoch 25/100
16/16 [==============================] - 0s 935us/step - loss: 0.5955
Epoch 26/100
16/16 [==============================] - 0s 873us/step - loss: 0.5937
Epoch 27/100
16/16 [==============================] - 0s 935us/step - loss: 0.5929
Epoch 28/100
16/16 [==============================] - 0s 997us/step - loss: 0.5900
Epoch 29/100
16/16 [==============================] - 0s 935us/step - loss: 0.5884
Epoch 30/100
16/16 [==============================] - 0s 873us/step - loss: 0.5868
Epoch 31/100
16/16 [==============================] - 0s 873us/step - loss: 0.5856
Epoch 32/100
16/16 [==============================] - 0s 997us/step - loss: 0.5842
Epoch 33/100
16/16 [==============================] - 0s 935us/step - loss: 0.5826
Epoch 34/100
16/16 [==============================] - 0s 873us/step - loss: 0.5807
Epoch 35/100
16/16 [==============================] - 0s 935us/step - loss: 0.5798
Epoch 36/100
16/16 [==============================] - 0s 935us/step - loss: 0.5777
Epoch 37/100
16/16 [==============================] - 0s 935us/step - loss: 0.5757
Epoch 38/100
16/16 [==============================] - 0s 935us/step - loss: 0.5748
Epoch 39/100
16/16 [==============================] - 0s 935us/step - loss: 0.5742
Epoch 40/100
16/16 [==============================] - 0s 935us/step - loss: 0.5726
Epoch 41/100
16/16 [==============================] - 0s 873us/step - loss: 0.5713
Epoch 42/100
16/16 [==============================] - 0s 997us/step - loss: 0.5685
Epoch 43/100
16/16 [==============================] - 0s 935us/step - loss: 0.5685
Epoch 44/100
16/16 [==============================] - 0s 935us/step - loss: 0.5661
Epoch 45/100
16/16 [==============================] - 0s 935us/step - loss: 0.5659
Epoch 46/100
16/16 [==============================] - 0s 935us/step - loss: 0.5648
Epoch 47/100
16/16 [==============================] - 0s 997us/step - loss: 0.5649
Epoch 48/100
16/16 [==============================] - 0s 935us/step - loss: 0.5627
Epoch 49/100
16/16 [==============================] - 0s 873us/step - loss: 0.5640
Epoch 50/100
16/16 [==============================] - 0s 997us/step - loss: 0.5617
Epoch 51/100
16/16 [==============================] - 0s 935us/step - loss: 0.5601
Epoch 52/100
16/16 [==============================] - 0s 997us/step - loss: 0.5591
Epoch 53/100
16/16 [==============================] - 0s 997us/step - loss: 0.5596
Epoch 54/100
16/16 [==============================] - 0s 997us/step - loss: 0.5583
Epoch 55/100
16/16 [==============================] - 0s 935us/step - loss: 0.5577
Epoch 56/100
16/16 [==============================] - 0s 935us/step - loss: 0.5575
Epoch 57/100
16/16 [==============================] - 0s 935us/step - loss: 0.5557
Epoch 58/100
16/16 [==============================] - 0s 935us/step - loss: 0.5561
Epoch 59/100
16/16 [==============================] - 0s 935us/step - loss: 0.5573
Epoch 60/100
16/16 [==============================] - 0s 873us/step - loss: 0.5556
Epoch 61/100
16/16 [==============================] - ETA: 0s - loss: 0.641 - 0s 997us/step - loss: 0.5552
Epoch 62/100
16/16 [==============================] - 0s 935us/step - loss: 0.5539
Epoch 63/100
16/16 [==============================] - 0s 873us/step - loss: 0.5529
Epoch 64/100
16/16 [==============================] - 0s 873us/step - loss: 0.5533
Epoch 65/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5527
Epoch 66/100
16/16 [==============================] - 0s 873us/step - loss: 0.5517
Epoch 67/100
16/16 [==============================] - 0s 935us/step - loss: 0.5539
Epoch 68/100
16/16 [==============================] - 0s 873us/step - loss: 0.5510
Epoch 69/100
16/16 [==============================] - 0s 935us/step - loss: 0.5511
Epoch 70/100
16/16 [==============================] - 0s 935us/step - loss: 0.5512
Epoch 71/100
16/16 [==============================] - 0s 935us/step - loss: 0.5507
Epoch 72/100
16/16 [==============================] - 0s 935us/step - loss: 0.5507
Epoch 73/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5498
Epoch 74/100
16/16 [==============================] - 0s 935us/step - loss: 0.5488
Epoch 75/100
16/16 [==============================] - 0s 935us/step - loss: 0.5484
Epoch 76/100
16/16 [==============================] - 0s 935us/step - loss: 0.5487
Epoch 77/100
16/16 [==============================] - 0s 997us/step - loss: 0.5485
Epoch 78/100
16/16 [==============================] - 0s 935us/step - loss: 0.5476
Epoch 79/100
16/16 [==============================] - 0s 873us/step - loss: 0.5474
Epoch 80/100
16/16 [==============================] - 0s 873us/step - loss: 0.5473
Epoch 81/100
16/16 [==============================] - ETA: 0s - loss: 0.557 - 0s 935us/step - loss: 0.5480
Epoch 82/100
16/16 [==============================] - 0s 935us/step - loss: 0.5474
Epoch 83/100
16/16 [==============================] - 0s 997us/step - loss: 0.5460
Epoch 84/100
16/16 [==============================] - 0s 935us/step - loss: 0.5464
Epoch 85/100
16/16 [==============================] - 0s 997us/step - loss: 0.5457
Epoch 86/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5459
Epoch 87/100
16/16 [==============================] - 0s 935us/step - loss: 0.5454
Epoch 88/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5449
Epoch 89/100
16/16 [==============================] - 0s 997us/step - loss: 0.5446
Epoch 90/100
16/16 [==============================] - 0s 935us/step - loss: 0.5449
Epoch 91/100
16/16 [==============================] - 0s 873us/step - loss: 0.5444
Epoch 92/100
16/16 [==============================] - 0s 997us/step - loss: 0.5442
Epoch 93/100
16/16 [==============================] - 0s 997us/step - loss: 0.5443
Epoch 94/100
16/16 [==============================] - 0s 997us/step - loss: 0.5436
Epoch 95/100
16/16 [==============================] - 0s 997us/step - loss: 0.5441
Epoch 96/100
16/16 [==============================] - 0s 935us/step - loss: 0.5443
Epoch 97/100
16/16 [==============================] - 0s 997us/step - loss: 0.5429
Epoch 98/100
16/16 [==============================] - 0s 873us/step - loss: 0.5433
Epoch 99/100
16/16 [==============================] - 0s 997us/step - loss: 0.5427
Epoch 100/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5421
###################################################################### Accuracy: 88.26108673135506
Epoch 1/100
16/16 [==============================] - 0s 1ms/step - loss: 1.0175
Epoch 2/100
16/16 [==============================] - 0s 997us/step - loss: 1.0127
Epoch 3/100
16/16 [==============================] - 0s 935us/step - loss: 1.0027
Epoch 4/100
16/16 [==============================] - 0s 1ms/step - loss: 0.9824
Epoch 5/100
16/16 [==============================] - 0s 997us/step - loss: 0.9496
Epoch 6/100
16/16 [==============================] - 0s 873us/step - loss: 0.9018
Epoch 7/100
16/16 [==============================] - 0s 997us/step - loss: 0.8420
Epoch 8/100
16/16 [==============================] - 0s 997us/step - loss: 0.7815
Epoch 9/100
16/16 [==============================] - 0s 997us/step - loss: 0.7324
Epoch 10/100
16/16 [==============================] - 0s 872us/step - loss: 0.6986
Epoch 11/100
16/16 [==============================] - 0s 935us/step - loss: 0.6782
Epoch 12/100
16/16 [==============================] - 0s 935us/step - loss: 0.6633
Epoch 13/100
16/16 [==============================] - 0s 935us/step - loss: 0.6520
Epoch 14/100
16/16 [==============================] - 0s 997us/step - loss: 0.6448
Epoch 15/100
16/16 [==============================] - 0s 935us/step - loss: 0.6426
Epoch 16/100
16/16 [==============================] - 0s 997us/step - loss: 0.6385
Epoch 17/100
16/16 [==============================] - 0s 935us/step - loss: 0.6380
Epoch 18/100
16/16 [==============================] - 0s 935us/step - loss: 0.6337
Epoch 19/100
16/16 [==============================] - 0s 873us/step - loss: 0.6306
Epoch 20/100
16/16 [==============================] - 0s 935us/step - loss: 0.6293
Epoch 21/100
16/16 [==============================] - 0s 935us/step - loss: 0.6267
Epoch 22/100
16/16 [==============================] - 0s 998us/step - loss: 0.6251
Epoch 23/100
16/16 [==============================] - 0s 935us/step - loss: 0.6240
Epoch 24/100
16/16 [==============================] - 0s 997us/step - loss: 0.6222
Epoch 25/100
16/16 [==============================] - 0s 997us/step - loss: 0.6204
Epoch 26/100
16/16 [==============================] - 0s 935us/step - loss: 0.6190
Epoch 27/100
16/16 [==============================] - 0s 1ms/step - loss: 0.6169
Epoch 28/100
16/16 [==============================] - 0s 873us/step - loss: 0.6161
Epoch 29/100
16/16 [==============================] - 0s 997us/step - loss: 0.6147
Epoch 30/100
16/16 [==============================] - 0s 873us/step - loss: 0.6127
Epoch 31/100
16/16 [==============================] - 0s 997us/step - loss: 0.6119
Epoch 32/100
16/16 [==============================] - 0s 997us/step - loss: 0.6103
Epoch 33/100
16/16 [==============================] - 0s 935us/step - loss: 0.6084
Epoch 34/100
16/16 [==============================] - 0s 935us/step - loss: 0.6077
Epoch 35/100
16/16 [==============================] - 0s 997us/step - loss: 0.6074
Epoch 36/100
16/16 [==============================] - 0s 997us/step - loss: 0.6061
Epoch 37/100
16/16 [==============================] - 0s 873us/step - loss: 0.6045
Epoch 38/100
16/16 [==============================] - 0s 997us/step - loss: 0.6039
Epoch 39/100
16/16 [==============================] - 0s 873us/step - loss: 0.6026
Epoch 40/100
16/16 [==============================] - 0s 935us/step - loss: 0.6016
Epoch 41/100
16/16 [==============================] - 0s 935us/step - loss: 0.6003
Epoch 42/100
16/16 [==============================] - 0s 935us/step - loss: 0.5998
Epoch 43/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5994
Epoch 44/100
16/16 [==============================] - 0s 873us/step - loss: 0.5981
Epoch 45/100
16/16 [==============================] - 0s 997us/step - loss: 0.5970
Epoch 46/100
16/16 [==============================] - 0s 935us/step - loss: 0.5979
Epoch 47/100
16/16 [==============================] - 0s 997us/step - loss: 0.5957
Epoch 48/100
16/16 [==============================] - 0s 935us/step - loss: 0.5952
Epoch 49/100
16/16 [==============================] - 0s 935us/step - loss: 0.5941
Epoch 50/100
16/16 [==============================] - 0s 997us/step - loss: 0.5930
Epoch 51/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5924
Epoch 52/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5915
Epoch 53/100
16/16 [==============================] - 0s 935us/step - loss: 0.5909
Epoch 54/100
16/16 [==============================] - 0s 810us/step - loss: 0.5913
Epoch 55/100
16/16 [==============================] - 0s 997us/step - loss: 0.5901
Epoch 56/100
16/16 [==============================] - 0s 935us/step - loss: 0.5898
Epoch 57/100
16/16 [==============================] - 0s 997us/step - loss: 0.5885
Epoch 58/100
16/16 [==============================] - 0s 997us/step - loss: 0.5896
Epoch 59/100
16/16 [==============================] - 0s 997us/step - loss: 0.5883
Epoch 60/100
16/16 [==============================] - 0s 998us/step - loss: 0.5871
Epoch 61/100
16/16 [==============================] - 0s 997us/step - loss: 0.5865
Epoch 62/100
16/16 [==============================] - 0s 935us/step - loss: 0.5867
Epoch 63/100
16/16 [==============================] - 0s 1000us/step - loss: 0.5864
Epoch 64/100
16/16 [==============================] - 0s 997us/step - loss: 0.5854
Epoch 65/100
16/16 [==============================] - 0s 997us/step - loss: 0.5843
Epoch 66/100
16/16 [==============================] - 0s 997us/step - loss: 0.5841
Epoch 67/100
16/16 [==============================] - 0s 935us/step - loss: 0.5835
Epoch 68/100
16/16 [==============================] - 0s 997us/step - loss: 0.5842
Epoch 69/100
16/16 [==============================] - 0s 873us/step - loss: 0.5822
Epoch 70/100
16/16 [==============================] - 0s 810us/step - loss: 0.5820
Epoch 71/100
16/16 [==============================] - 0s 873us/step - loss: 0.5821
Epoch 72/100
16/16 [==============================] - 0s 935us/step - loss: 0.5816
Epoch 73/100
16/16 [==============================] - 0s 873us/step - loss: 0.5811
Epoch 74/100
16/16 [==============================] - 0s 935us/step - loss: 0.5813
Epoch 75/100
16/16 [==============================] - 0s 997us/step - loss: 0.5803
Epoch 76/100
16/16 [==============================] - 0s 873us/step - loss: 0.5794
Epoch 77/100
16/16 [==============================] - 0s 997us/step - loss: 0.5805
Epoch 78/100
16/16 [==============================] - 0s 873us/step - loss: 0.5795
Epoch 79/100
16/16 [==============================] - 0s 935us/step - loss: 0.5779
Epoch 80/100
16/16 [==============================] - 0s 935us/step - loss: 0.5779
Epoch 81/100
16/16 [==============================] - 0s 935us/step - loss: 0.5778
Epoch 82/100
16/16 [==============================] - 0s 873us/step - loss: 0.5770
Epoch 83/100
16/16 [==============================] - 0s 997us/step - loss: 0.5767
Epoch 84/100
16/16 [==============================] - 0s 935us/step - loss: 0.5767
Epoch 85/100
16/16 [==============================] - 0s 997us/step - loss: 0.5758
Epoch 86/100
16/16 [==============================] - 0s 935us/step - loss: 0.5758
Epoch 87/100
16/16 [==============================] - 0s 873us/step - loss: 0.5746
Epoch 88/100
16/16 [==============================] - 0s 873us/step - loss: 0.5743
Epoch 89/100
16/16 [==============================] - 0s 935us/step - loss: 0.5746
Epoch 90/100
16/16 [==============================] - 0s 997us/step - loss: 0.5741
Epoch 91/100
16/16 [==============================] - 0s 810us/step - loss: 0.5732
Epoch 92/100
16/16 [==============================] - 0s 873us/step - loss: 0.5740
Epoch 93/100
16/16 [==============================] - 0s 935us/step - loss: 0.5730
Epoch 94/100
16/16 [==============================] - 0s 873us/step - loss: 0.5720
Epoch 95/100
16/16 [==============================] - 0s 810us/step - loss: 0.5722
Epoch 96/100
16/16 [==============================] - 0s 935us/step - loss: 0.5707
Epoch 97/100
16/16 [==============================] - 0s 873us/step - loss: 0.5725
Epoch 98/100
16/16 [==============================] - 0s 810us/step - loss: 0.5705
Epoch 99/100
16/16 [==============================] - 0s 810us/step - loss: 0.5706
Epoch 100/100
16/16 [==============================] - 0s 935us/step - loss: 0.5693
###################################################################### Accuracy: 74.5307144909776
Epoch 1/100
16/16 [==============================] - 0s 2ms/step - loss: 1.0020
Epoch 2/100
16/16 [==============================] - 0s 1ms/step - loss: 0.9995
Epoch 3/100
16/16 [==============================] - 0s 997us/step - loss: 0.9945
Epoch 4/100
16/16 [==============================] - 0s 935us/step - loss: 0.9839
Epoch 5/100
16/16 [==============================] - 0s 935us/step - loss: 0.9614
Epoch 6/100
16/16 [==============================] - 0s 997us/step - loss: 0.9211
Epoch 7/100
16/16 [==============================] - 0s 935us/step - loss: 0.8604
Epoch 8/100
16/16 [==============================] - 0s 997us/step - loss: 0.7883
Epoch 9/100
16/16 [==============================] - 0s 935us/step - loss: 0.7231
Epoch 10/100
16/16 [==============================] - 0s 997us/step - loss: 0.6730
Epoch 11/100
16/16 [==============================] - 0s 997us/step - loss: 0.6499
Epoch 12/100
16/16 [==============================] - 0s 997us/step - loss: 0.6385
Epoch 13/100
16/16 [==============================] - 0s 935us/step - loss: 0.6346
Epoch 14/100
16/16 [==============================] - 0s 935us/step - loss: 0.6306
Epoch 15/100
16/16 [==============================] - 0s 997us/step - loss: 0.6266
Epoch 16/100
16/16 [==============================] - 0s 935us/step - loss: 0.6250
Epoch 17/100
16/16 [==============================] - 0s 935us/step - loss: 0.6219
Epoch 18/100
16/16 [==============================] - ETA: 0s - loss: 0.483 - 0s 997us/step - loss: 0.6206
Epoch 19/100
16/16 [==============================] - 0s 872us/step - loss: 0.6177
Epoch 20/100
16/16 [==============================] - 0s 935us/step - loss: 0.6158
Epoch 21/100
16/16 [==============================] - 0s 935us/step - loss: 0.6138
Epoch 22/100
16/16 [==============================] - 0s 935us/step - loss: 0.6118
Epoch 23/100
16/16 [==============================] - 0s 997us/step - loss: 0.6102
Epoch 24/100
16/16 [==============================] - 0s 935us/step - loss: 0.6084
Epoch 25/100
16/16 [==============================] - 0s 873us/step - loss: 0.6065
Epoch 26/100
16/16 [==============================] - 0s 997us/step - loss: 0.6047
Epoch 27/100
16/16 [==============================] - 0s 873us/step - loss: 0.6035
Epoch 28/100
16/16 [==============================] - 0s 997us/step - loss: 0.6009
Epoch 29/100
16/16 [==============================] - 0s 935us/step - loss: 0.5992
Epoch 30/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5980
Epoch 31/100
16/16 [==============================] - 0s 873us/step - loss: 0.5969
Epoch 32/100
16/16 [==============================] - 0s 873us/step - loss: 0.5952
Epoch 33/100
16/16 [==============================] - 0s 997us/step - loss: 0.5926
Epoch 34/100
16/16 [==============================] - 0s 997us/step - loss: 0.5919
Epoch 35/100
16/16 [==============================] - 0s 3ms/step - loss: 0.5914
Epoch 36/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5897
Epoch 37/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5887
Epoch 38/100
16/16 [==============================] - 0s 997us/step - loss: 0.5864
Epoch 39/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5855
Epoch 40/100
16/16 [==============================] - 0s 873us/step - loss: 0.5847
Epoch 41/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5836
Epoch 42/100
16/16 [==============================] - 0s 873us/step - loss: 0.5838
Epoch 43/100
16/16 [==============================] - 0s 935us/step - loss: 0.5814
Epoch 44/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5807
Epoch 45/100
16/16 [==============================] - 0s 935us/step - loss: 0.5791
Epoch 46/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5787
Epoch 47/100
16/16 [==============================] - 0s 935us/step - loss: 0.5779
Epoch 48/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5767
Epoch 49/100
16/16 [==============================] - 0s 873us/step - loss: 0.5761
Epoch 50/100
16/16 [==============================] - 0s 935us/step - loss: 0.5751
Epoch 51/100
16/16 [==============================] - 0s 873us/step - loss: 0.5748
Epoch 52/100
16/16 [==============================] - 0s 873us/step - loss: 0.5758
Epoch 53/100
16/16 [==============================] - 0s 935us/step - loss: 0.5732
Epoch 54/100
16/16 [==============================] - 0s 997us/step - loss: 0.5722
Epoch 55/100
16/16 [==============================] - 0s 810us/step - loss: 0.5715
Epoch 56/100
16/16 [==============================] - 0s 997us/step - loss: 0.5707
Epoch 57/100
16/16 [==============================] - 0s 997us/step - loss: 0.5706
Epoch 58/100
16/16 [==============================] - 0s 997us/step - loss: 0.5693
Epoch 59/100
16/16 [==============================] - 0s 935us/step - loss: 0.5697
Epoch 60/100
16/16 [==============================] - 0s 997us/step - loss: 0.5693
Epoch 61/100
16/16 [==============================] - 0s 935us/step - loss: 0.5683
Epoch 62/100
16/16 [==============================] - 0s 935us/step - loss: 0.5675
Epoch 63/100
16/16 [==============================] - 0s 997us/step - loss: 0.5677
Epoch 64/100
16/16 [==============================] - 0s 997us/step - loss: 0.5658
Epoch 65/100
16/16 [==============================] - 0s 935us/step - loss: 0.5660
Epoch 66/100
16/16 [==============================] - 0s 997us/step - loss: 0.5652
Epoch 67/100
16/16 [==============================] - 0s 810us/step - loss: 0.5646
Epoch 68/100
16/16 [==============================] - 0s 873us/step - loss: 0.5638
Epoch 69/100
16/16 [==============================] - 0s 935us/step - loss: 0.5640
Epoch 70/100
16/16 [==============================] - 0s 997us/step - loss: 0.5625
Epoch 71/100
16/16 [==============================] - 0s 936us/step - loss: 0.5636
Epoch 72/100
16/16 [==============================] - 0s 935us/step - loss: 0.5629
Epoch 73/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5630
Epoch 74/100
16/16 [==============================] - 0s 873us/step - loss: 0.5625
Epoch 75/100
16/16 [==============================] - 0s 873us/step - loss: 0.5609
Epoch 76/100
16/16 [==============================] - 0s 935us/step - loss: 0.5615
Epoch 77/100
16/16 [==============================] - 0s 935us/step - loss: 0.5607
Epoch 78/100
16/16 [==============================] - 0s 997us/step - loss: 0.5609
Epoch 79/100
16/16 [==============================] - 0s 935us/step - loss: 0.5598
Epoch 80/100
16/16 [==============================] - 0s 935us/step - loss: 0.5590
Epoch 81/100
16/16 [==============================] - 0s 935us/step - loss: 0.5593
Epoch 82/100
16/16 [==============================] - 0s 935us/step - loss: 0.5588
Epoch 83/100
16/16 [==============================] - 0s 935us/step - loss: 0.5587
Epoch 84/100
16/16 [==============================] - 0s 935us/step - loss: 0.5579
Epoch 85/100
16/16 [==============================] - 0s 935us/step - loss: 0.5572
Epoch 86/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5567
Epoch 87/100
16/16 [==============================] - 0s 997us/step - loss: 0.5571
Epoch 88/100
16/16 [==============================] - 0s 997us/step - loss: 0.5567
Epoch 89/100
16/16 [==============================] - 0s 997us/step - loss: 0.5561
Epoch 90/100
16/16 [==============================] - 0s 997us/step - loss: 0.5569
Epoch 91/100
16/16 [==============================] - 0s 997us/step - loss: 0.5566
Epoch 92/100
16/16 [==============================] - 0s 997us/step - loss: 0.5556
Epoch 93/100
16/16 [==============================] - 0s 935us/step - loss: 0.5565
Epoch 94/100
16/16 [==============================] - 0s 997us/step - loss: 0.5562
Epoch 95/100
16/16 [==============================] - 0s 997us/step - loss: 0.5546
Epoch 96/100
16/16 [==============================] - 0s 935us/step - loss: 0.5552
Epoch 97/100
16/16 [==============================] - 0s 935us/step - loss: 0.5553
Epoch 98/100
16/16 [==============================] - 0s 935us/step - loss: 0.5548
Epoch 99/100
16/16 [==============================] - 0s 997us/step - loss: 0.5542
Epoch 100/100
16/16 [==============================] - 0s 997us/step - loss: 0.5534
###################################################################### Accuracy: 74.60852231749777
Epoch 1/150
16/16 [==============================] - 0s 2ms/step - loss: 1.0188
Epoch 2/150
16/16 [==============================] - 0s 873us/step - loss: 1.0170
Epoch 3/150
16/16 [==============================] - 0s 935us/step - loss: 1.0131
Epoch 4/150
16/16 [==============================] - 0s 873us/step - loss: 1.0042
Epoch 5/150
16/16 [==============================] - 0s 935us/step - loss: 0.9861
Epoch 6/150
16/16 [==============================] - 0s 997us/step - loss: 0.9571
Epoch 7/150
16/16 [==============================] - 0s 935us/step - loss: 0.9151
Epoch 8/150
16/16 [==============================] - 0s 935us/step - loss: 0.8604
Epoch 9/150
16/16 [==============================] - 0s 935us/step - loss: 0.7981
Epoch 10/150
16/16 [==============================] - 0s 997us/step - loss: 0.7387
Epoch 11/150
16/16 [==============================] - 0s 997us/step - loss: 0.6920
Epoch 12/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6642
Epoch 13/150
16/16 [==============================] - 0s 935us/step - loss: 0.6474
Epoch 14/150
16/16 [==============================] - 0s 935us/step - loss: 0.6399
Epoch 15/150
16/16 [==============================] - 0s 997us/step - loss: 0.6372
Epoch 16/150
16/16 [==============================] - 0s 873us/step - loss: 0.6334
Epoch 17/150
16/16 [==============================] - 0s 935us/step - loss: 0.6305
Epoch 18/150
16/16 [==============================] - 0s 935us/step - loss: 0.6279
Epoch 19/150
16/16 [==============================] - 0s 873us/step - loss: 0.6258
Epoch 20/150
16/16 [==============================] - 0s 997us/step - loss: 0.6231
Epoch 21/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6212
Epoch 22/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6196
Epoch 23/150
16/16 [==============================] - 0s 873us/step - loss: 0.6177
Epoch 24/150
16/16 [==============================] - 0s 935us/step - loss: 0.6156
Epoch 25/150
16/16 [==============================] - 0s 935us/step - loss: 0.6139
Epoch 26/150
16/16 [==============================] - 0s 997us/step - loss: 0.6119
Epoch 27/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6107
Epoch 28/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6091
Epoch 29/150
16/16 [==============================] - 0s 935us/step - loss: 0.6065
Epoch 30/150
16/16 [==============================] - 0s 935us/step - loss: 0.6053
Epoch 31/150
16/16 [==============================] - 0s 935us/step - loss: 0.6041
Epoch 32/150
16/16 [==============================] - 0s 997us/step - loss: 0.6017
Epoch 33/150
16/16 [==============================] - 0s 873us/step - loss: 0.5998
Epoch 34/150
16/16 [==============================] - 0s 997us/step - loss: 0.5983
Epoch 35/150
16/16 [==============================] - 0s 997us/step - loss: 0.5969
Epoch 36/150
16/16 [==============================] - 0s 935us/step - loss: 0.5962
Epoch 37/150
16/16 [==============================] - 0s 997us/step - loss: 0.5942
Epoch 38/150
16/16 [==============================] - 0s 997us/step - loss: 0.5936
Epoch 39/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5913
Epoch 40/150
16/16 [==============================] - 0s 997us/step - loss: 0.5899
Epoch 41/150
16/16 [==============================] - 0s 997us/step - loss: 0.5877
Epoch 42/150
16/16 [==============================] - 0s 873us/step - loss: 0.5872
Epoch 43/150
16/16 [==============================] - 0s 873us/step - loss: 0.5853
Epoch 44/150
16/16 [==============================] - 0s 935us/step - loss: 0.5841
Epoch 45/150
16/16 [==============================] - 0s 873us/step - loss: 0.5823
Epoch 46/150
16/16 [==============================] - 0s 997us/step - loss: 0.5818
Epoch 47/150
16/16 [==============================] - 0s 997us/step - loss: 0.5815
Epoch 48/150
16/16 [==============================] - 0s 935us/step - loss: 0.5798
Epoch 49/150
16/16 [==============================] - 0s 935us/step - loss: 0.5793
Epoch 50/150
16/16 [==============================] - 0s 935us/step - loss: 0.5779
Epoch 51/150
16/16 [==============================] - 0s 873us/step - loss: 0.5766
Epoch 52/150
16/16 [==============================] - 0s 997us/step - loss: 0.5755
Epoch 53/150
16/16 [==============================] - 0s 935us/step - loss: 0.5755
Epoch 54/150
16/16 [==============================] - 0s 935us/step - loss: 0.5732
Epoch 55/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5723
Epoch 56/150
16/16 [==============================] - 0s 997us/step - loss: 0.5724
Epoch 57/150
16/16 [==============================] - 0s 997us/step - loss: 0.5708
Epoch 58/150
16/16 [==============================] - 0s 935us/step - loss: 0.5696
Epoch 59/150
16/16 [==============================] - 0s 997us/step - loss: 0.5688
Epoch 60/150
16/16 [==============================] - 0s 997us/step - loss: 0.5678
Epoch 61/150
16/16 [==============================] - 0s 997us/step - loss: 0.5671
Epoch 62/150
16/16 [==============================] - 0s 935us/step - loss: 0.5663
Epoch 63/150
16/16 [==============================] - 0s 997us/step - loss: 0.5658
Epoch 64/150
16/16 [==============================] - 0s 997us/step - loss: 0.5646
Epoch 65/150
16/16 [==============================] - 0s 873us/step - loss: 0.5643
Epoch 66/150
16/16 [==============================] - 0s 997us/step - loss: 0.5639
Epoch 67/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5623
Epoch 68/150
16/16 [==============================] - 0s 935us/step - loss: 0.5618
Epoch 69/150
16/16 [==============================] - 0s 935us/step - loss: 0.5615
Epoch 70/150
16/16 [==============================] - 0s 935us/step - loss: 0.5611
Epoch 71/150
16/16 [==============================] - 0s 873us/step - loss: 0.5600
Epoch 72/150
16/16 [==============================] - 0s 810us/step - loss: 0.5597
Epoch 73/150
16/16 [==============================] - 0s 873us/step - loss: 0.5586
Epoch 74/150
16/16 [==============================] - 0s 997us/step - loss: 0.5585
Epoch 75/150
16/16 [==============================] - 0s 935us/step - loss: 0.5572
Epoch 76/150
16/16 [==============================] - 0s 935us/step - loss: 0.5570
Epoch 77/150
16/16 [==============================] - 0s 935us/step - loss: 0.5566
Epoch 78/150
16/16 [==============================] - 0s 935us/step - loss: 0.5559
Epoch 79/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5549
Epoch 80/150
16/16 [==============================] - 0s 935us/step - loss: 0.5555
Epoch 81/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5543
Epoch 82/150
16/16 [==============================] - 0s 935us/step - loss: 0.5539
Epoch 83/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5536
Epoch 84/150
16/16 [==============================] - 0s 935us/step - loss: 0.5521
Epoch 85/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5516
Epoch 86/150
16/16 [==============================] - 0s 935us/step - loss: 0.5505
Epoch 87/150
16/16 [==============================] - 0s 935us/step - loss: 0.5511
Epoch 88/150
16/16 [==============================] - 0s 997us/step - loss: 0.5511
Epoch 89/150
16/16 [==============================] - 0s 935us/step - loss: 0.5501
Epoch 90/150
16/16 [==============================] - 0s 873us/step - loss: 0.5499
Epoch 91/150
16/16 [==============================] - 0s 935us/step - loss: 0.5486
Epoch 92/150
16/16 [==============================] - 0s 997us/step - loss: 0.5485
Epoch 93/150
16/16 [==============================] - 0s 997us/step - loss: 0.5497
Epoch 94/150
16/16 [==============================] - 0s 997us/step - loss: 0.5476
Epoch 95/150
16/16 [==============================] - 0s 997us/step - loss: 0.5467
Epoch 96/150
16/16 [==============================] - 0s 997us/step - loss: 0.5468
Epoch 97/150
16/16 [==============================] - 0s 873us/step - loss: 0.5462
Epoch 98/150
16/16 [==============================] - 0s 935us/step - loss: 0.5454
Epoch 99/150
16/16 [==============================] - 0s 935us/step - loss: 0.5455
Epoch 100/150
16/16 [==============================] - 0s 873us/step - loss: 0.5443
Epoch 101/150
16/16 [==============================] - 0s 872us/step - loss: 0.5447
Epoch 102/150
16/16 [==============================] - 0s 997us/step - loss: 0.5444
Epoch 103/150
16/16 [==============================] - 0s 997us/step - loss: 0.5436
Epoch 104/150
16/16 [==============================] - 0s 935us/step - loss: 0.5428
Epoch 105/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5422
Epoch 106/150
16/16 [==============================] - 0s 997us/step - loss: 0.5426
Epoch 107/150
16/16 [==============================] - 0s 997us/step - loss: 0.5423
Epoch 108/150
16/16 [==============================] - 0s 873us/step - loss: 0.5420
Epoch 109/150
16/16 [==============================] - 0s 997us/step - loss: 0.5417
Epoch 110/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5416
Epoch 111/150
16/16 [==============================] - 0s 935us/step - loss: 0.5415
Epoch 112/150
16/16 [==============================] - 0s 873us/step - loss: 0.5408
Epoch 113/150
16/16 [==============================] - 0s 935us/step - loss: 0.5402
Epoch 114/150
16/16 [==============================] - 0s 997us/step - loss: 0.5399
Epoch 115/150
16/16 [==============================] - 0s 935us/step - loss: 0.5405
Epoch 116/150
16/16 [==============================] - 0s 935us/step - loss: 0.5405
Epoch 117/150
16/16 [==============================] - 0s 935us/step - loss: 0.5389
Epoch 118/150
16/16 [==============================] - 0s 810us/step - loss: 0.5380
Epoch 119/150
16/16 [==============================] - 0s 935us/step - loss: 0.5384
Epoch 120/150
16/16 [==============================] - 0s 935us/step - loss: 0.5385
Epoch 121/150
16/16 [==============================] - 0s 935us/step - loss: 0.5371
Epoch 122/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5370
Epoch 123/150
16/16 [==============================] - 0s 997us/step - loss: 0.5368
Epoch 124/150
16/16 [==============================] - 0s 873us/step - loss: 0.5359
Epoch 125/150
16/16 [==============================] - 0s 935us/step - loss: 0.5358
Epoch 126/150
16/16 [==============================] - 0s 935us/step - loss: 0.5357
Epoch 127/150
16/16 [==============================] - 0s 935us/step - loss: 0.5356
Epoch 128/150
16/16 [==============================] - 0s 873us/step - loss: 0.5347
Epoch 129/150
16/16 [==============================] - 0s 997us/step - loss: 0.5355
Epoch 130/150
16/16 [==============================] - 0s 935us/step - loss: 0.5349
Epoch 131/150
16/16 [==============================] - 0s 997us/step - loss: 0.5340
Epoch 132/150
16/16 [==============================] - 0s 873us/step - loss: 0.5336
Epoch 133/150
16/16 [==============================] - 0s 997us/step - loss: 0.5331
Epoch 134/150
16/16 [==============================] - 0s 935us/step - loss: 0.5325
Epoch 135/150
16/16 [==============================] - 0s 997us/step - loss: 0.5323
Epoch 136/150
16/16 [==============================] - 0s 998us/step - loss: 0.5321
Epoch 137/150
16/16 [==============================] - 0s 935us/step - loss: 0.5327
Epoch 138/150
16/16 [==============================] - 0s 997us/step - loss: 0.5335
Epoch 139/150
16/16 [==============================] - 0s 873us/step - loss: 0.5315
Epoch 140/150
16/16 [==============================] - 0s 997us/step - loss: 0.5314
Epoch 141/150
16/16 [==============================] - 0s 873us/step - loss: 0.5317
Epoch 142/150
16/16 [==============================] - 0s 935us/step - loss: 0.5312
Epoch 143/150
16/16 [==============================] - 0s 935us/step - loss: 0.5313
Epoch 144/150
16/16 [==============================] - 0s 935us/step - loss: 0.5311
Epoch 145/150
16/16 [==============================] - 0s 935us/step - loss: 0.5311
Epoch 146/150
16/16 [==============================] - 0s 997us/step - loss: 0.5297
Epoch 147/150
16/16 [==============================] - 0s 935us/step - loss: 0.5294
Epoch 148/150
16/16 [==============================] - 0s 997us/step - loss: 0.5300
Epoch 149/150
16/16 [==============================] - 0s 872us/step - loss: 0.5304
Epoch 150/150
16/16 [==============================] - 0s 935us/step - loss: 0.5284
###################################################################### Accuracy: 72.61707701726945
Epoch 1/150
16/16 [==============================] - 0s 2ms/step - loss: 0.9866
Epoch 2/150
16/16 [==============================] - 0s 998us/step - loss: 0.9860
Epoch 3/150
16/16 [==============================] - 0s 1ms/step - loss: 0.9847
Epoch 4/150
16/16 [==============================] - 0s 997us/step - loss: 0.9809
Epoch 5/150
16/16 [==============================] - 0s 935us/step - loss: 0.9717
Epoch 6/150
16/16 [==============================] - 0s 935us/step - loss: 0.9551
Epoch 7/150
16/16 [==============================] - 0s 935us/step - loss: 0.9277
Epoch 8/150
16/16 [==============================] - 0s 873us/step - loss: 0.8927
Epoch 9/150
16/16 [==============================] - 0s 1ms/step - loss: 0.8539
Epoch 10/150
16/16 [==============================] - 0s 997us/step - loss: 0.8161
Epoch 11/150
16/16 [==============================] - 0s 935us/step - loss: 0.7851
Epoch 12/150
16/16 [==============================] - 0s 997us/step - loss: 0.7632
Epoch 13/150
16/16 [==============================] - 0s 935us/step - loss: 0.7477
Epoch 14/150
16/16 [==============================] - 0s 935us/step - loss: 0.7314
Epoch 15/150
16/16 [==============================] - 0s 935us/step - loss: 0.7133
Epoch 16/150
16/16 [==============================] - 0s 935us/step - loss: 0.6930
Epoch 17/150
16/16 [==============================] - 0s 997us/step - loss: 0.6739
Epoch 18/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6556
Epoch 19/150
16/16 [==============================] - 0s 935us/step - loss: 0.6431
Epoch 20/150
16/16 [==============================] - 0s 997us/step - loss: 0.6343
Epoch 21/150
16/16 [==============================] - 0s 873us/step - loss: 0.6273
Epoch 22/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6226
Epoch 23/150
16/16 [==============================] - 0s 997us/step - loss: 0.6190
Epoch 24/150
16/16 [==============================] - 0s 997us/step - loss: 0.6157
Epoch 25/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6136
Epoch 26/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6102
Epoch 27/150
16/16 [==============================] - 0s 997us/step - loss: 0.6078
Epoch 28/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6053
Epoch 29/150
16/16 [==============================] - 0s 997us/step - loss: 0.6031
Epoch 30/150
16/16 [==============================] - 0s 997us/step - loss: 0.6019
Epoch 31/150
16/16 [==============================] - 0s 935us/step - loss: 0.5994
Epoch 32/150
16/16 [==============================] - 0s 997us/step - loss: 0.5973
Epoch 33/150
16/16 [==============================] - 0s 935us/step - loss: 0.5959
Epoch 34/150
16/16 [==============================] - 0s 997us/step - loss: 0.5941
Epoch 35/150
16/16 [==============================] - 0s 997us/step - loss: 0.5921
Epoch 36/150
16/16 [==============================] - 0s 997us/step - loss: 0.5908
Epoch 37/150
16/16 [==============================] - 0s 935us/step - loss: 0.5895
Epoch 38/150
16/16 [==============================] - 0s 935us/step - loss: 0.5891
Epoch 39/150
16/16 [==============================] - 0s 997us/step - loss: 0.5878
Epoch 40/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5862
Epoch 41/150
16/16 [==============================] - 0s 997us/step - loss: 0.5857
Epoch 42/150
16/16 [==============================] - 0s 997us/step - loss: 0.5839
Epoch 43/150
16/16 [==============================] - 0s 935us/step - loss: 0.5828
Epoch 44/150
16/16 [==============================] - 0s 997us/step - loss: 0.5825
Epoch 45/150
16/16 [==============================] - 0s 935us/step - loss: 0.5813
Epoch 46/150
16/16 [==============================] - 0s 935us/step - loss: 0.5802
Epoch 47/150
16/16 [==============================] - 0s 997us/step - loss: 0.5794
Epoch 48/150
16/16 [==============================] - 0s 935us/step - loss: 0.5789
Epoch 49/150
16/16 [==============================] - 0s 935us/step - loss: 0.5783
Epoch 50/150
16/16 [==============================] - 0s 811us/step - loss: 0.5779
Epoch 51/150
16/16 [==============================] - 0s 997us/step - loss: 0.5775
Epoch 52/150
16/16 [==============================] - 0s 935us/step - loss: 0.5764
Epoch 53/150
16/16 [==============================] - 0s 997us/step - loss: 0.5758
Epoch 54/150
16/16 [==============================] - 0s 997us/step - loss: 0.5752
Epoch 55/150
16/16 [==============================] - 0s 997us/step - loss: 0.5747
Epoch 56/150
16/16 [==============================] - 0s 873us/step - loss: 0.5749
Epoch 57/150
16/16 [==============================] - 0s 810us/step - loss: 0.5742
Epoch 58/150
16/16 [==============================] - 0s 997us/step - loss: 0.5729
Epoch 59/150
16/16 [==============================] - 0s 997us/step - loss: 0.5731
Epoch 60/150
16/16 [==============================] - 0s 873us/step - loss: 0.5742
Epoch 61/150
16/16 [==============================] - 0s 873us/step - loss: 0.5724
Epoch 62/150
16/16 [==============================] - 0s 997us/step - loss: 0.5721
Epoch 63/150
16/16 [==============================] - 0s 873us/step - loss: 0.5709
Epoch 64/150
16/16 [==============================] - 0s 997us/step - loss: 0.5705
Epoch 65/150
16/16 [==============================] - 0s 997us/step - loss: 0.5701
Epoch 66/150
16/16 [==============================] - 0s 935us/step - loss: 0.5695
Epoch 67/150
16/16 [==============================] - 0s 935us/step - loss: 0.5701
Epoch 68/150
16/16 [==============================] - 0s 997us/step - loss: 0.5698
Epoch 69/150
16/16 [==============================] - 0s 935us/step - loss: 0.5684
Epoch 70/150
16/16 [==============================] - 0s 935us/step - loss: 0.5689
Epoch 71/150
16/16 [==============================] - 0s 873us/step - loss: 0.5679
Epoch 72/150
16/16 [==============================] - 0s 997us/step - loss: 0.5690
Epoch 73/150
16/16 [==============================] - 0s 935us/step - loss: 0.5672
Epoch 74/150
16/16 [==============================] - 0s 997us/step - loss: 0.5679
Epoch 75/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5680
Epoch 76/150
16/16 [==============================] - 0s 997us/step - loss: 0.5670
Epoch 77/150
16/16 [==============================] - 0s 997us/step - loss: 0.5664
Epoch 78/150
16/16 [==============================] - 0s 935us/step - loss: 0.5663
Epoch 79/150
16/16 [==============================] - 0s 873us/step - loss: 0.5667
Epoch 80/150
16/16 [==============================] - 0s 935us/step - loss: 0.5662
Epoch 81/150
16/16 [==============================] - 0s 935us/step - loss: 0.5659
Epoch 82/150
16/16 [==============================] - 0s 997us/step - loss: 0.5653
Epoch 83/150
16/16 [==============================] - 0s 997us/step - loss: 0.5650
Epoch 84/150
16/16 [==============================] - 0s 997us/step - loss: 0.5650
Epoch 85/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5647
Epoch 86/150
16/16 [==============================] - 0s 997us/step - loss: 0.5640
Epoch 87/150
16/16 [==============================] - 0s 997us/step - loss: 0.5644
Epoch 88/150
16/16 [==============================] - 0s 997us/step - loss: 0.5635
Epoch 89/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5635
Epoch 90/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5631
Epoch 91/150
16/16 [==============================] - 0s 935us/step - loss: 0.5629
Epoch 92/150
16/16 [==============================] - 0s 997us/step - loss: 0.5635
Epoch 93/150
16/16 [==============================] - 0s 935us/step - loss: 0.5623
Epoch 94/150
16/16 [==============================] - 0s 873us/step - loss: 0.5622
Epoch 95/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5616
Epoch 96/150
16/16 [==============================] - 0s 935us/step - loss: 0.5614
Epoch 97/150
16/16 [==============================] - 0s 935us/step - loss: 0.5611
Epoch 98/150
16/16 [==============================] - 0s 935us/step - loss: 0.5605
Epoch 99/150
16/16 [==============================] - 0s 997us/step - loss: 0.5606
Epoch 100/150
16/16 [==============================] - 0s 997us/step - loss: 0.5606
Epoch 101/150
16/16 [==============================] - 0s 997us/step - loss: 0.5603
Epoch 102/150
16/16 [==============================] - 0s 997us/step - loss: 0.5606
Epoch 103/150
16/16 [==============================] - 0s 997us/step - loss: 0.5593
Epoch 104/150
16/16 [==============================] - 0s 935us/step - loss: 0.5592
Epoch 105/150
16/16 [==============================] - 0s 997us/step - loss: 0.5588
Epoch 106/150
16/16 [==============================] - 0s 997us/step - loss: 0.5586
Epoch 107/150
16/16 [==============================] - 0s 997us/step - loss: 0.5588
Epoch 108/150
16/16 [==============================] - 0s 997us/step - loss: 0.5582
Epoch 109/150
16/16 [==============================] - 0s 935us/step - loss: 0.5587
Epoch 110/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5577
Epoch 111/150
16/16 [==============================] - 0s 997us/step - loss: 0.5576
Epoch 112/150
16/16 [==============================] - 0s 935us/step - loss: 0.5577
Epoch 113/150
16/16 [==============================] - 0s 997us/step - loss: 0.5578
Epoch 114/150
16/16 [==============================] - 0s 935us/step - loss: 0.5569
Epoch 115/150
16/16 [==============================] - 0s 997us/step - loss: 0.5570
Epoch 116/150
16/16 [==============================] - 0s 873us/step - loss: 0.5566
Epoch 117/150
16/16 [==============================] - 0s 997us/step - loss: 0.5560
Epoch 118/150
16/16 [==============================] - 0s 997us/step - loss: 0.5563
Epoch 119/150
16/16 [==============================] - 0s 935us/step - loss: 0.5552
Epoch 120/150
16/16 [==============================] - 0s 935us/step - loss: 0.5556
Epoch 121/150
16/16 [==============================] - 0s 997us/step - loss: 0.5553
Epoch 122/150
16/16 [==============================] - 0s 935us/step - loss: 0.5548
Epoch 123/150
16/16 [==============================] - 0s 810us/step - loss: 0.5557
Epoch 124/150
16/16 [==============================] - 0s 873us/step - loss: 0.5544
Epoch 125/150
16/16 [==============================] - 0s 997us/step - loss: 0.5546
Epoch 126/150
16/16 [==============================] - 0s 873us/step - loss: 0.5543
Epoch 127/150
16/16 [==============================] - 0s 873us/step - loss: 0.5535
Epoch 128/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5539
Epoch 129/150
16/16 [==============================] - 0s 997us/step - loss: 0.5534
Epoch 130/150
16/16 [==============================] - 0s 873us/step - loss: 0.5533
Epoch 131/150
16/16 [==============================] - 0s 935us/step - loss: 0.5530
Epoch 132/150
16/16 [==============================] - 0s 873us/step - loss: 0.5526
Epoch 133/150
16/16 [==============================] - 0s 873us/step - loss: 0.5521
Epoch 134/150
16/16 [==============================] - 0s 873us/step - loss: 0.5525
Epoch 135/150
16/16 [==============================] - 0s 997us/step - loss: 0.5519
Epoch 136/150
16/16 [==============================] - 0s 997us/step - loss: 0.5515
Epoch 137/150
16/16 [==============================] - 0s 935us/step - loss: 0.5509
Epoch 138/150
16/16 [==============================] - 0s 997us/step - loss: 0.5504
Epoch 139/150
16/16 [==============================] - 0s 935us/step - loss: 0.5516
Epoch 140/150
16/16 [==============================] - 0s 997us/step - loss: 0.5498
Epoch 141/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5516
Epoch 142/150
16/16 [==============================] - 0s 997us/step - loss: 0.5495
Epoch 143/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5490
Epoch 144/150
16/16 [==============================] - 0s 935us/step - loss: 0.5489
Epoch 145/150
16/16 [==============================] - 0s 997us/step - loss: 0.5485
Epoch 146/150
16/16 [==============================] - 0s 935us/step - loss: 0.5483
Epoch 147/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5477
Epoch 148/150
16/16 [==============================] - 0s 935us/step - loss: 0.5479
Epoch 149/150
16/16 [==============================] - 0s 935us/step - loss: 0.5491
Epoch 150/150
16/16 [==============================] - 0s 873us/step - loss: 0.5468
###################################################################### Accuracy: 73.00146729512582
Epoch 1/150
16/16 [==============================] - 0s 976us/step - loss: 0.9766
Epoch 2/150
16/16 [==============================] - 0s 976us/step - loss: 0.9750
Epoch 3/150
16/16 [==============================] - 0s 976us/step - loss: 0.9715
Epoch 4/150
16/16 [==============================] - 0s 0s/step - loss: 0.9625
Epoch 5/150
16/16 [==============================] - 0s 976us/step - loss: 0.9461
Epoch 6/150
16/16 [==============================] - 0s 976us/step - loss: 0.9172
Epoch 7/150
16/16 [==============================] - 0s 977us/step - loss: 0.8755
Epoch 8/150
16/16 [==============================] - 0s 976us/step - loss: 0.8222
Epoch 9/150
16/16 [==============================] - 0s 976us/step - loss: 0.7649
Epoch 10/150
16/16 [==============================] - 0s 976us/step - loss: 0.7145
Epoch 11/150
16/16 [==============================] - 0s 976us/step - loss: 0.6775
Epoch 12/150
16/16 [==============================] - 0s 976us/step - loss: 0.6542
Epoch 13/150
16/16 [==============================] - 0s 976us/step - loss: 0.6386
Epoch 14/150
16/16 [==============================] - 0s 976us/step - loss: 0.6305
Epoch 15/150
16/16 [==============================] - 0s 976us/step - loss: 0.6260
Epoch 16/150
16/16 [==============================] - 0s 976us/step - loss: 0.6238
Epoch 17/150
16/16 [==============================] - 0s 0s/step - loss: 0.6215
Epoch 18/150
16/16 [==============================] - 0s 0s/step - loss: 0.6191
Epoch 19/150
16/16 [==============================] - 0s 0s/step - loss: 0.6173
Epoch 20/150
16/16 [==============================] - 0s 0s/step - loss: 0.6158
Epoch 21/150
16/16 [==============================] - 0s 976us/step - loss: 0.6131
Epoch 22/150
16/16 [==============================] - 0s 976us/step - loss: 0.6110
Epoch 23/150
16/16 [==============================] - 0s 976us/step - loss: 0.6095
Epoch 24/150
16/16 [==============================] - 0s 976us/step - loss: 0.6071
Epoch 25/150
16/16 [==============================] - 0s 976us/step - loss: 0.6052
Epoch 26/150
16/16 [==============================] - 0s 976us/step - loss: 0.6040
Epoch 27/150
16/16 [==============================] - 0s 976us/step - loss: 0.6028
Epoch 28/150
16/16 [==============================] - 0s 976us/step - loss: 0.6001
Epoch 29/150
16/16 [==============================] - 0s 976us/step - loss: 0.5996
Epoch 30/150
16/16 [==============================] - 0s 976us/step - loss: 0.5977
Epoch 31/150
16/16 [==============================] - 0s 976us/step - loss: 0.5961
Epoch 32/150
16/16 [==============================] - 0s 976us/step - loss: 0.5952
Epoch 33/150
16/16 [==============================] - 0s 976us/step - loss: 0.5932
Epoch 34/150
16/16 [==============================] - 0s 976us/step - loss: 0.5922
Epoch 35/150
16/16 [==============================] - 0s 0s/step - loss: 0.5915
Epoch 36/150
16/16 [==============================] - 0s 0s/step - loss: 0.5895
Epoch 37/150
16/16 [==============================] - 0s 0s/step - loss: 0.5888
Epoch 38/150
16/16 [==============================] - 0s 0s/step - loss: 0.5877
Epoch 39/150
16/16 [==============================] - 0s 0s/step - loss: 0.5860
Epoch 40/150
16/16 [==============================] - 0s 0s/step - loss: 0.5863
Epoch 41/150
16/16 [==============================] - 0s 0s/step - loss: 0.5842
Epoch 42/150
16/16 [==============================] - 0s 976us/step - loss: 0.5837
Epoch 43/150
16/16 [==============================] - 0s 976us/step - loss: 0.5827
Epoch 44/150
16/16 [==============================] - 0s 976us/step - loss: 0.5819
Epoch 45/150
16/16 [==============================] - 0s 0s/step - loss: 0.5812
Epoch 46/150
16/16 [==============================] - 0s 976us/step - loss: 0.5803
Epoch 47/150
16/16 [==============================] - 0s 976us/step - loss: 0.5804
Epoch 48/150
16/16 [==============================] - 0s 976us/step - loss: 0.5792
Epoch 49/150
16/16 [==============================] - 0s 2ms/step - loss: 0.5786
Epoch 50/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5771
Epoch 51/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5761
Epoch 52/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5757
Epoch 53/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5755
Epoch 54/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5743
Epoch 55/150
16/16 [==============================] - 0s 997us/step - loss: 0.5741
Epoch 56/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5733
Epoch 57/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5726
Epoch 58/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5721
Epoch 59/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5726
Epoch 60/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5714
Epoch 61/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5708
Epoch 62/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5709
Epoch 63/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5705
Epoch 64/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5705
Epoch 65/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5688
Epoch 66/150
16/16 [==============================] - 0s 997us/step - loss: 0.5682
Epoch 67/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5685
Epoch 68/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5676
Epoch 69/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5678
Epoch 70/150
16/16 [==============================] - 0s 997us/step - loss: 0.5672
Epoch 71/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5663
Epoch 72/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5662
Epoch 73/150
16/16 [==============================] - 0s 810us/step - loss: 0.5659
Epoch 74/150
16/16 [==============================] - 0s 997us/step - loss: 0.5652
Epoch 75/150
16/16 [==============================] - 0s 873us/step - loss: 0.5653
Epoch 76/150
16/16 [==============================] - 0s 935us/step - loss: 0.5646
Epoch 77/150
16/16 [==============================] - 0s 935us/step - loss: 0.5638
Epoch 78/150
16/16 [==============================] - 0s 935us/step - loss: 0.5633
Epoch 79/150
16/16 [==============================] - 0s 997us/step - loss: 0.5631
Epoch 80/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5630
Epoch 81/150
16/16 [==============================] - 0s 935us/step - loss: 0.5622
Epoch 82/150
16/16 [==============================] - 0s 935us/step - loss: 0.5622
Epoch 83/150
16/16 [==============================] - 0s 935us/step - loss: 0.5609
Epoch 84/150
16/16 [==============================] - 0s 997us/step - loss: 0.5605
Epoch 85/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5608
Epoch 86/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5597
Epoch 87/150
16/16 [==============================] - 0s 997us/step - loss: 0.5591
Epoch 88/150
16/16 [==============================] - 0s 935us/step - loss: 0.5589
Epoch 89/150
16/16 [==============================] - 0s 998us/step - loss: 0.5586
Epoch 90/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5580
Epoch 91/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5577
Epoch 92/150
16/16 [==============================] - 0s 997us/step - loss: 0.5575
Epoch 93/150
16/16 [==============================] - 0s 997us/step - loss: 0.5570
Epoch 94/150
16/16 [==============================] - 0s 873us/step - loss: 0.5562
Epoch 95/150
16/16 [==============================] - 0s 997us/step - loss: 0.5557
Epoch 96/150
16/16 [==============================] - 0s 873us/step - loss: 0.5554
Epoch 97/150
16/16 [==============================] - 0s 935us/step - loss: 0.5550
Epoch 98/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5541
Epoch 99/150
16/16 [==============================] - 0s 935us/step - loss: 0.5539
Epoch 100/150
16/16 [==============================] - 0s 935us/step - loss: 0.5539
Epoch 101/150
16/16 [==============================] - 0s 935us/step - loss: 0.5528
Epoch 102/150
16/16 [==============================] - 0s 935us/step - loss: 0.5521
Epoch 103/150
16/16 [==============================] - 0s 873us/step - loss: 0.5519
Epoch 104/150
16/16 [==============================] - 0s 935us/step - loss: 0.5525
Epoch 105/150
16/16 [==============================] - 0s 935us/step - loss: 0.5506
Epoch 106/150
16/16 [==============================] - 0s 997us/step - loss: 0.5510
Epoch 107/150
16/16 [==============================] - 0s 997us/step - loss: 0.5508
Epoch 108/150
16/16 [==============================] - 0s 935us/step - loss: 0.5506
Epoch 109/150
16/16 [==============================] - 0s 997us/step - loss: 0.5497
Epoch 110/150
16/16 [==============================] - 0s 873us/step - loss: 0.5489
Epoch 111/150
16/16 [==============================] - 0s 873us/step - loss: 0.5495
Epoch 112/150
16/16 [==============================] - 0s 997us/step - loss: 0.5485
Epoch 113/150
16/16 [==============================] - 0s 997us/step - loss: 0.5481
Epoch 114/150
16/16 [==============================] - 0s 935us/step - loss: 0.5473
Epoch 115/150
16/16 [==============================] - 0s 935us/step - loss: 0.5470
Epoch 116/150
16/16 [==============================] - 0s 873us/step - loss: 0.5466
Epoch 117/150
16/16 [==============================] - 0s 997us/step - loss: 0.5465
Epoch 118/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5452
Epoch 119/150
16/16 [==============================] - 0s 873us/step - loss: 0.5446
Epoch 120/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5448
Epoch 121/150
16/16 [==============================] - 0s 997us/step - loss: 0.5442
Epoch 122/150
16/16 [==============================] - 0s 935us/step - loss: 0.5451
Epoch 123/150
16/16 [==============================] - 0s 935us/step - loss: 0.5430
Epoch 124/150
16/16 [==============================] - 0s 873us/step - loss: 0.5431
Epoch 125/150
16/16 [==============================] - 0s 935us/step - loss: 0.5429
Epoch 126/150
16/16 [==============================] - 0s 935us/step - loss: 0.5424
Epoch 127/150
16/16 [==============================] - 0s 998us/step - loss: 0.5415
Epoch 128/150
16/16 [==============================] - 0s 873us/step - loss: 0.5416
Epoch 129/150
16/16 [==============================] - 0s 997us/step - loss: 0.5402
Epoch 130/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5405
Epoch 131/150
16/16 [==============================] - 0s 873us/step - loss: 0.5395
Epoch 132/150
16/16 [==============================] - 0s 997us/step - loss: 0.5388
Epoch 133/150
16/16 [==============================] - 0s 935us/step - loss: 0.5386
Epoch 134/150
16/16 [==============================] - 0s 935us/step - loss: 0.5385
Epoch 135/150
16/16 [==============================] - 0s 997us/step - loss: 0.5375
Epoch 136/150
16/16 [==============================] - 0s 997us/step - loss: 0.5369
Epoch 137/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5374
Epoch 138/150
16/16 [==============================] - 0s 935us/step - loss: 0.5371
Epoch 139/150
16/16 [==============================] - 0s 873us/step - loss: 0.5358
Epoch 140/150
16/16 [==============================] - 0s 935us/step - loss: 0.5361
Epoch 141/150
16/16 [==============================] - 0s 935us/step - loss: 0.5370
Epoch 142/150
16/16 [==============================] - 0s 997us/step - loss: 0.5350
Epoch 143/150
16/16 [==============================] - 0s 935us/step - loss: 0.5350
Epoch 144/150
16/16 [==============================] - 0s 873us/step - loss: 0.5349
Epoch 145/150
16/16 [==============================] - 0s 997us/step - loss: 0.5335
Epoch 146/150
16/16 [==============================] - 0s 873us/step - loss: 0.5339
Epoch 147/150
16/16 [==============================] - 0s 997us/step - loss: 0.5373
Epoch 148/150
16/16 [==============================] - 0s 873us/step - loss: 0.5338
Epoch 149/150
16/16 [==============================] - 0s 935us/step - loss: 0.5329
Epoch 150/150
16/16 [==============================] - 0s 997us/step - loss: 0.5329
###################################################################### Accuracy: 85.69797684953954
Epoch 1/150
16/16 [==============================] - 0s 1ms/step - loss: 1.0189
Epoch 2/150
16/16 [==============================] - 0s 1ms/step - loss: 1.0178
Epoch 3/150
16/16 [==============================] - 0s 873us/step - loss: 1.0138
Epoch 4/150
16/16 [==============================] - 0s 997us/step - loss: 1.0042
Epoch 5/150
16/16 [==============================] - 0s 997us/step - loss: 0.9842
Epoch 6/150
16/16 [==============================] - 0s 873us/step - loss: 0.9482
Epoch 7/150
16/16 [==============================] - 0s 935us/step - loss: 0.8935
Epoch 8/150
16/16 [==============================] - 0s 997us/step - loss: 0.8261
Epoch 9/150
16/16 [==============================] - 0s 935us/step - loss: 0.7573
Epoch 10/150
16/16 [==============================] - 0s 997us/step - loss: 0.7002
Epoch 11/150
16/16 [==============================] - 0s 935us/step - loss: 0.6701
Epoch 12/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6542
Epoch 13/150
16/16 [==============================] - 0s 935us/step - loss: 0.6475
Epoch 14/150
16/16 [==============================] - 0s 997us/step - loss: 0.6436
Epoch 15/150
16/16 [==============================] - 0s 935us/step - loss: 0.6403
Epoch 16/150
16/16 [==============================] - 0s 873us/step - loss: 0.6377
Epoch 17/150
16/16 [==============================] - 0s 997us/step - loss: 0.6354
Epoch 18/150
16/16 [==============================] - 0s 997us/step - loss: 0.6329
Epoch 19/150
16/16 [==============================] - 0s 997us/step - loss: 0.6304
Epoch 20/150
16/16 [==============================] - 0s 997us/step - loss: 0.6283
Epoch 21/150
16/16 [==============================] - 0s 935us/step - loss: 0.6272
Epoch 22/150
16/16 [==============================] - 0s 997us/step - loss: 0.6260
Epoch 23/150
16/16 [==============================] - 0s 935us/step - loss: 0.6234
Epoch 24/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6218
Epoch 25/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6216
Epoch 26/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6196
Epoch 27/150
16/16 [==============================] - 0s 935us/step - loss: 0.6186
Epoch 28/150
16/16 [==============================] - 0s 935us/step - loss: 0.6169
Epoch 29/150
16/16 [==============================] - 0s 997us/step - loss: 0.6160
Epoch 30/150
16/16 [==============================] - 0s 998us/step - loss: 0.6141
Epoch 31/150
16/16 [==============================] - 0s 997us/step - loss: 0.6136
Epoch 32/150
16/16 [==============================] - 0s 997us/step - loss: 0.6125
Epoch 33/150
16/16 [==============================] - 0s 997us/step - loss: 0.6114
Epoch 34/150
16/16 [==============================] - 0s 873us/step - loss: 0.6106
Epoch 35/150
16/16 [==============================] - 0s 936us/step - loss: 0.6093
Epoch 36/150
16/16 [==============================] - 0s 997us/step - loss: 0.6091
Epoch 37/150
16/16 [==============================] - 0s 873us/step - loss: 0.6088
Epoch 38/150
16/16 [==============================] - 0s 997us/step - loss: 0.6069
Epoch 39/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6067
Epoch 40/150
16/16 [==============================] - 0s 935us/step - loss: 0.6086
Epoch 41/150
16/16 [==============================] - 0s 935us/step - loss: 0.6052
Epoch 42/150
16/16 [==============================] - 0s 935us/step - loss: 0.6048
Epoch 43/150
16/16 [==============================] - 0s 935us/step - loss: 0.6040
Epoch 44/150
16/16 [==============================] - 0s 873us/step - loss: 0.6056
Epoch 45/150
16/16 [==============================] - 0s 873us/step - loss: 0.6030
Epoch 46/150
16/16 [==============================] - 0s 997us/step - loss: 0.6021
Epoch 47/150
16/16 [==============================] - 0s 873us/step - loss: 0.6022
Epoch 48/150
16/16 [==============================] - 0s 935us/step - loss: 0.6017
Epoch 49/150
16/16 [==============================] - 0s 935us/step - loss: 0.6007
Epoch 50/150
16/16 [==============================] - 0s 997us/step - loss: 0.6016
Epoch 51/150
16/16 [==============================] - 0s 997us/step - loss: 0.6017
Epoch 52/150
16/16 [==============================] - 0s 873us/step - loss: 0.5994
Epoch 53/150
16/16 [==============================] - 0s 997us/step - loss: 0.5996
Epoch 54/150
16/16 [==============================] - 0s 935us/step - loss: 0.5987
Epoch 55/150
16/16 [==============================] - 0s 997us/step - loss: 0.5986
Epoch 56/150
16/16 [==============================] - 0s 935us/step - loss: 0.5984
Epoch 57/150
16/16 [==============================] - 0s 935us/step - loss: 0.5973
Epoch 58/150
16/16 [==============================] - 0s 935us/step - loss: 0.5972
Epoch 59/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5975
Epoch 60/150
16/16 [==============================] - 0s 935us/step - loss: 0.5967
Epoch 61/150
16/16 [==============================] - 0s 873us/step - loss: 0.5965
Epoch 62/150
16/16 [==============================] - 0s 935us/step - loss: 0.5960
Epoch 63/150
16/16 [==============================] - 0s 935us/step - loss: 0.5960
Epoch 64/150
16/16 [==============================] - 0s 873us/step - loss: 0.5952
Epoch 65/150
16/16 [==============================] - 0s 997us/step - loss: 0.5955
Epoch 66/150
16/16 [==============================] - 0s 873us/step - loss: 0.5949
Epoch 67/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5943
Epoch 68/150
16/16 [==============================] - 0s 873us/step - loss: 0.5946
Epoch 69/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5959
Epoch 70/150
16/16 [==============================] - 0s 935us/step - loss: 0.5929
Epoch 71/150
16/16 [==============================] - 0s 997us/step - loss: 0.5940
Epoch 72/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5934
Epoch 73/150
16/16 [==============================] - 0s 997us/step - loss: 0.5931
Epoch 74/150
16/16 [==============================] - 0s 935us/step - loss: 0.5933
Epoch 75/150
16/16 [==============================] - 0s 998us/step - loss: 0.5949
Epoch 76/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5920
Epoch 77/150
16/16 [==============================] - 0s 997us/step - loss: 0.5920
Epoch 78/150
16/16 [==============================] - 0s 935us/step - loss: 0.5918
Epoch 79/150
16/16 [==============================] - 0s 997us/step - loss: 0.5915
Epoch 80/150
16/16 [==============================] - 0s 935us/step - loss: 0.5910
Epoch 81/150
16/16 [==============================] - 0s 997us/step - loss: 0.5917
Epoch 82/150
16/16 [==============================] - 0s 935us/step - loss: 0.5889
Epoch 83/150
16/16 [==============================] - 0s 935us/step - loss: 0.5903
Epoch 84/150
16/16 [==============================] - 0s 997us/step - loss: 0.5898
Epoch 85/150
16/16 [==============================] - 0s 935us/step - loss: 0.5896
Epoch 86/150
16/16 [==============================] - 0s 997us/step - loss: 0.5897
Epoch 87/150
16/16 [==============================] - 0s 998us/step - loss: 0.5882
Epoch 88/150
16/16 [==============================] - 0s 997us/step - loss: 0.5876
Epoch 89/150
16/16 [==============================] - 0s 997us/step - loss: 0.5871
Epoch 90/150
16/16 [==============================] - 0s 997us/step - loss: 0.5879
Epoch 91/150
16/16 [==============================] - 0s 997us/step - loss: 0.5884
Epoch 92/150
16/16 [==============================] - 0s 935us/step - loss: 0.5870
Epoch 93/150
16/16 [==============================] - 0s 997us/step - loss: 0.5860
Epoch 94/150
16/16 [==============================] - 0s 997us/step - loss: 0.5864
Epoch 95/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5854
Epoch 96/150
16/16 [==============================] - 0s 935us/step - loss: 0.5858
Epoch 97/150
16/16 [==============================] - 0s 997us/step - loss: 0.5849
Epoch 98/150
16/16 [==============================] - 0s 748us/step - loss: 0.5848
Epoch 99/150
16/16 [==============================] - 0s 935us/step - loss: 0.5855
Epoch 100/150
16/16 [==============================] - 0s 997us/step - loss: 0.5841
Epoch 101/150
16/16 [==============================] - 0s 873us/step - loss: 0.5836
Epoch 102/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5837
Epoch 103/150
16/16 [==============================] - 0s 873us/step - loss: 0.5829
Epoch 104/150
16/16 [==============================] - 0s 872us/step - loss: 0.5838
Epoch 105/150
16/16 [==============================] - 0s 996us/step - loss: 0.5827
Epoch 106/150
16/16 [==============================] - 0s 935us/step - loss: 0.5824
Epoch 107/150
16/16 [==============================] - 0s 935us/step - loss: 0.5819
Epoch 108/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5817
Epoch 109/150
16/16 [==============================] - 0s 935us/step - loss: 0.5809
Epoch 110/150
16/16 [==============================] - 0s 935us/step - loss: 0.5807
Epoch 111/150
16/16 [==============================] - 0s 935us/step - loss: 0.5807
Epoch 112/150
16/16 [==============================] - 0s 935us/step - loss: 0.5806
Epoch 113/150
16/16 [==============================] - 0s 935us/step - loss: 0.5802
Epoch 114/150
16/16 [==============================] - 0s 935us/step - loss: 0.5806
Epoch 115/150
16/16 [==============================] - 0s 935us/step - loss: 0.5801
Epoch 116/150
16/16 [==============================] - 0s 935us/step - loss: 0.5786
Epoch 117/150
16/16 [==============================] - 0s 935us/step - loss: 0.5788
Epoch 118/150
16/16 [==============================] - 0s 997us/step - loss: 0.5812
Epoch 119/150
16/16 [==============================] - 0s 873us/step - loss: 0.5781
Epoch 120/150
16/16 [==============================] - 0s 935us/step - loss: 0.5772
Epoch 121/150
16/16 [==============================] - 0s 997us/step - loss: 0.5774
Epoch 122/150
16/16 [==============================] - 0s 935us/step - loss: 0.5776
Epoch 123/150
16/16 [==============================] - 0s 935us/step - loss: 0.5774
Epoch 124/150
16/16 [==============================] - 0s 935us/step - loss: 0.5769
Epoch 125/150
16/16 [==============================] - 0s 873us/step - loss: 0.5766
Epoch 126/150
16/16 [==============================] - 0s 935us/step - loss: 0.5761
Epoch 127/150
16/16 [==============================] - 0s 997us/step - loss: 0.5758
Epoch 128/150
16/16 [==============================] - 0s 935us/step - loss: 0.5752
Epoch 129/150
16/16 [==============================] - 0s 935us/step - loss: 0.5753
Epoch 130/150
16/16 [==============================] - 0s 935us/step - loss: 0.5747
Epoch 131/150
16/16 [==============================] - 0s 997us/step - loss: 0.5751
Epoch 132/150
16/16 [==============================] - 0s 935us/step - loss: 0.5755
Epoch 133/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5766
Epoch 134/150
16/16 [==============================] - 0s 873us/step - loss: 0.5744
Epoch 135/150
16/16 [==============================] - 0s 873us/step - loss: 0.5732
Epoch 136/150
16/16 [==============================] - 0s 873us/step - loss: 0.5744
Epoch 137/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5730
Epoch 138/150
16/16 [==============================] - 0s 935us/step - loss: 0.5724
Epoch 139/150
16/16 [==============================] - 0s 873us/step - loss: 0.5731
Epoch 140/150
16/16 [==============================] - 0s 997us/step - loss: 0.5716
Epoch 141/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5716
Epoch 142/150
16/16 [==============================] - 0s 935us/step - loss: 0.5708
Epoch 143/150
16/16 [==============================] - 0s 997us/step - loss: 0.5701
Epoch 144/150
16/16 [==============================] - 0s 997us/step - loss: 0.5704
Epoch 145/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5702
Epoch 146/150
16/16 [==============================] - 0s 997us/step - loss: 0.5699
Epoch 147/150
16/16 [==============================] - 0s 997us/step - loss: 0.5698
Epoch 148/150
16/16 [==============================] - 0s 935us/step - loss: 0.5688
Epoch 149/150
16/16 [==============================] - 0s 935us/step - loss: 0.5677
Epoch 150/150
16/16 [==============================] - 0s 935us/step - loss: 0.5670
###################################################################### Accuracy: 76.33771403102408
Epoch 1/150
16/16 [==============================] - 0s 2ms/step - loss: 1.0018
Epoch 2/150
16/16 [==============================] - 0s 997us/step - loss: 0.9985
Epoch 3/150
16/16 [==============================] - 0s 935us/step - loss: 0.9938
Epoch 4/150
16/16 [==============================] - 0s 997us/step - loss: 0.9835
Epoch 5/150
16/16 [==============================] - 0s 1ms/step - loss: 0.9668
Epoch 6/150
16/16 [==============================] - 0s 997us/step - loss: 0.9395
Epoch 7/150
16/16 [==============================] - 0s 935us/step - loss: 0.9024
Epoch 8/150
16/16 [==============================] - 0s 997us/step - loss: 0.8619
Epoch 9/150
16/16 [==============================] - 0s 935us/step - loss: 0.8202
Epoch 10/150
16/16 [==============================] - 0s 873us/step - loss: 0.7892
Epoch 11/150
16/16 [==============================] - 0s 873us/step - loss: 0.7669
Epoch 12/150
16/16 [==============================] - 0s 997us/step - loss: 0.7491
Epoch 13/150
16/16 [==============================] - 0s 935us/step - loss: 0.7368
Epoch 14/150
16/16 [==============================] - 0s 935us/step - loss: 0.7252
Epoch 15/150
16/16 [==============================] - 0s 1ms/step - loss: 0.7166
Epoch 16/150
16/16 [==============================] - 0s 997us/step - loss: 0.7077
Epoch 17/150
16/16 [==============================] - 0s 997us/step - loss: 0.7004
Epoch 18/150
16/16 [==============================] - 0s 935us/step - loss: 0.6931
Epoch 19/150
16/16 [==============================] - 0s 997us/step - loss: 0.6872
Epoch 20/150
16/16 [==============================] - 0s 935us/step - loss: 0.6808
Epoch 21/150
16/16 [==============================] - 0s 935us/step - loss: 0.6758
Epoch 22/150
16/16 [==============================] - 0s 935us/step - loss: 0.6711
Epoch 23/150
16/16 [==============================] - 0s 997us/step - loss: 0.6683
Epoch 24/150
16/16 [==============================] - 0s 935us/step - loss: 0.6625
Epoch 25/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6620
Epoch 26/150
16/16 [==============================] - 0s 873us/step - loss: 0.6578
Epoch 27/150
16/16 [==============================] - 0s 997us/step - loss: 0.6523
Epoch 28/150
16/16 [==============================] - 0s 997us/step - loss: 0.6506
Epoch 29/150
16/16 [==============================] - 0s 997us/step - loss: 0.6486
Epoch 30/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6457
Epoch 31/150
16/16 [==============================] - 0s 997us/step - loss: 0.6428
Epoch 32/150
16/16 [==============================] - 0s 997us/step - loss: 0.6408
Epoch 33/150
16/16 [==============================] - 0s 935us/step - loss: 0.6381
Epoch 34/150
16/16 [==============================] - 0s 997us/step - loss: 0.6364
Epoch 35/150
16/16 [==============================] - 0s 935us/step - loss: 0.6341
Epoch 36/150
16/16 [==============================] - 0s 873us/step - loss: 0.6329
Epoch 37/150
16/16 [==============================] - 0s 935us/step - loss: 0.6309
Epoch 38/150
16/16 [==============================] - 0s 873us/step - loss: 0.6291
Epoch 39/150
16/16 [==============================] - 0s 935us/step - loss: 0.6271
Epoch 40/150
16/16 [==============================] - 0s 935us/step - loss: 0.6258
Epoch 41/150
16/16 [==============================] - 0s 935us/step - loss: 0.6249
Epoch 42/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6237
Epoch 43/150
16/16 [==============================] - 0s 810us/step - loss: 0.6211
Epoch 44/150
16/16 [==============================] - 0s 997us/step - loss: 0.6201
Epoch 45/150
16/16 [==============================] - 0s 935us/step - loss: 0.6184
Epoch 46/150
16/16 [==============================] - 0s 997us/step - loss: 0.6192
Epoch 47/150
16/16 [==============================] - 0s 997us/step - loss: 0.6165
Epoch 48/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6145
Epoch 49/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6142
Epoch 50/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6122
Epoch 51/150
16/16 [==============================] - 0s 997us/step - loss: 0.6111
Epoch 52/150
16/16 [==============================] - 0s 997us/step - loss: 0.6108
Epoch 53/150
16/16 [==============================] - 0s 935us/step - loss: 0.6085
Epoch 54/150
16/16 [==============================] - 0s 935us/step - loss: 0.6080
Epoch 55/150
16/16 [==============================] - 0s 935us/step - loss: 0.6067
Epoch 56/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6059
Epoch 57/150
16/16 [==============================] - 0s 935us/step - loss: 0.6058
Epoch 58/150
16/16 [==============================] - 0s 997us/step - loss: 0.6046
Epoch 59/150
16/16 [==============================] - 0s 997us/step - loss: 0.6047
Epoch 60/150
16/16 [==============================] - 0s 997us/step - loss: 0.6032
Epoch 61/150
16/16 [==============================] - 0s 873us/step - loss: 0.6017
Epoch 62/150
16/16 [==============================] - 0s 935us/step - loss: 0.6008
Epoch 63/150
16/16 [==============================] - 0s 1ms/step - loss: 0.6013
Epoch 64/150
16/16 [==============================] - 0s 997us/step - loss: 0.5990
Epoch 65/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5985
Epoch 66/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5980
Epoch 67/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5966
Epoch 68/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5963
Epoch 69/150
16/16 [==============================] - 0s 873us/step - loss: 0.5970
Epoch 70/150
16/16 [==============================] - 0s 873us/step - loss: 0.5952
Epoch 71/150
16/16 [==============================] - 0s 997us/step - loss: 0.5942
Epoch 72/150
16/16 [==============================] - 0s 997us/step - loss: 0.5933
Epoch 73/150
16/16 [==============================] - 0s 873us/step - loss: 0.5932
Epoch 74/150
16/16 [==============================] - 0s 873us/step - loss: 0.5925
Epoch 75/150
16/16 [==============================] - 0s 997us/step - loss: 0.5913
Epoch 76/150
16/16 [==============================] - 0s 935us/step - loss: 0.5909
Epoch 77/150
16/16 [==============================] - 0s 997us/step - loss: 0.5907
Epoch 78/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5899
Epoch 79/150
16/16 [==============================] - 0s 935us/step - loss: 0.5892
Epoch 80/150
16/16 [==============================] - 0s 997us/step - loss: 0.5896
Epoch 81/150
16/16 [==============================] - 0s 997us/step - loss: 0.5894
Epoch 82/150
16/16 [==============================] - 0s 997us/step - loss: 0.5880
Epoch 83/150
16/16 [==============================] - 0s 997us/step - loss: 0.5874
Epoch 84/150
16/16 [==============================] - 0s 997us/step - loss: 0.5874
Epoch 85/150
16/16 [==============================] - 0s 810us/step - loss: 0.5862
Epoch 86/150
16/16 [==============================] - 0s 873us/step - loss: 0.5870
Epoch 87/150
16/16 [==============================] - 0s 935us/step - loss: 0.5858
Epoch 88/150
16/16 [==============================] - 0s 935us/step - loss: 0.5867
Epoch 89/150
16/16 [==============================] - 0s 935us/step - loss: 0.5847
Epoch 90/150
16/16 [==============================] - 0s 935us/step - loss: 0.5840
Epoch 91/150
16/16 [==============================] - 0s 997us/step - loss: 0.5846
Epoch 92/150
16/16 [==============================] - 0s 997us/step - loss: 0.5832
Epoch 93/150
16/16 [==============================] - 0s 873us/step - loss: 0.5831
Epoch 94/150
16/16 [==============================] - 0s 873us/step - loss: 0.5828
Epoch 95/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5825
Epoch 96/150
16/16 [==============================] - 0s 997us/step - loss: 0.5821
Epoch 97/150
16/16 [==============================] - 0s 935us/step - loss: 0.5820
Epoch 98/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5811
Epoch 99/150
16/16 [==============================] - 0s 935us/step - loss: 0.5807
Epoch 100/150
16/16 [==============================] - 0s 873us/step - loss: 0.5809
Epoch 101/150
16/16 [==============================] - 0s 997us/step - loss: 0.5797
Epoch 102/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5804
Epoch 103/150
16/16 [==============================] - 0s 997us/step - loss: 0.5795
Epoch 104/150
16/16 [==============================] - 0s 935us/step - loss: 0.5791
Epoch 105/150
16/16 [==============================] - 0s 935us/step - loss: 0.5788
Epoch 106/150
16/16 [==============================] - 0s 935us/step - loss: 0.5790
Epoch 107/150
16/16 [==============================] - 0s 935us/step - loss: 0.5777
Epoch 108/150
16/16 [==============================] - 0s 873us/step - loss: 0.5772
Epoch 109/150
16/16 [==============================] - 0s 935us/step - loss: 0.5776
Epoch 110/150
16/16 [==============================] - 0s 873us/step - loss: 0.5762
Epoch 111/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5765
Epoch 112/150
16/16 [==============================] - 0s 935us/step - loss: 0.5761
Epoch 113/150
16/16 [==============================] - 0s 997us/step - loss: 0.5754
Epoch 114/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5757
Epoch 115/150
16/16 [==============================] - 0s 997us/step - loss: 0.5752
Epoch 116/150
16/16 [==============================] - 0s 997us/step - loss: 0.5747
Epoch 117/150
16/16 [==============================] - 0s 997us/step - loss: 0.5743
Epoch 118/150
16/16 [==============================] - 0s 997us/step - loss: 0.5738
Epoch 119/150
16/16 [==============================] - 0s 935us/step - loss: 0.5740
Epoch 120/150
16/16 [==============================] - 0s 873us/step - loss: 0.5730
Epoch 121/150
16/16 [==============================] - 0s 935us/step - loss: 0.5736
Epoch 122/150
16/16 [==============================] - 0s 935us/step - loss: 0.5724
Epoch 123/150
16/16 [==============================] - 0s 873us/step - loss: 0.5724
Epoch 124/150
16/16 [==============================] - 0s 873us/step - loss: 0.5716
Epoch 125/150
16/16 [==============================] - 0s 748us/step - loss: 0.5709
Epoch 126/150
16/16 [==============================] - 0s 935us/step - loss: 0.5704
Epoch 127/150
16/16 [==============================] - 0s 997us/step - loss: 0.5703
Epoch 128/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5692
Epoch 129/150
16/16 [==============================] - 0s 873us/step - loss: 0.5692
Epoch 130/150
16/16 [==============================] - 0s 935us/step - loss: 0.5686
Epoch 131/150
16/16 [==============================] - 0s 873us/step - loss: 0.5682
Epoch 132/150
16/16 [==============================] - 0s 997us/step - loss: 0.5676
Epoch 133/150
16/16 [==============================] - 0s 935us/step - loss: 0.5667
Epoch 134/150
16/16 [==============================] - 0s 997us/step - loss: 0.5672
Epoch 135/150
16/16 [==============================] - 0s 873us/step - loss: 0.5673
Epoch 136/150
16/16 [==============================] - 0s 935us/step - loss: 0.5648
Epoch 137/150
16/16 [==============================] - 0s 873us/step - loss: 0.5642
Epoch 138/150
16/16 [==============================] - 0s 997us/step - loss: 0.5639
Epoch 139/150
16/16 [==============================] - 0s 935us/step - loss: 0.5635
Epoch 140/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5635
Epoch 141/150
16/16 [==============================] - 0s 997us/step - loss: 0.5632
Epoch 142/150
16/16 [==============================] - 0s 997us/step - loss: 0.5617
Epoch 143/150
16/16 [==============================] - 0s 997us/step - loss: 0.5616
Epoch 144/150
16/16 [==============================] - 0s 935us/step - loss: 0.5621
Epoch 145/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5598
Epoch 146/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5601
Epoch 147/150
16/16 [==============================] - 0s 935us/step - loss: 0.5606
Epoch 148/150
16/16 [==============================] - 0s 997us/step - loss: 0.5594
Epoch 149/150
16/16 [==============================] - 0s 935us/step - loss: 0.5584
Epoch 150/150
16/16 [==============================] - 0s 997us/step - loss: 0.5586
###################################################################### Accuracy: 72.4300514766623
Epoch 1/10
13/13 [==============================] - 0s 2ms/step - loss: 1.0185
Epoch 2/10
13/13 [==============================] - 0s 997us/step - loss: 1.0169
Epoch 3/10
13/13 [==============================] - 0s 921us/step - loss: 1.0134
Epoch 4/10
13/13 [==============================] - 0s 1ms/step - loss: 1.0060
Epoch 5/10
13/13 [==============================] - 0s 997us/step - loss: 0.9907
Epoch 6/10
13/13 [==============================] - 0s 997us/step - loss: 0.9660
Epoch 7/10
13/13 [==============================] - 0s 921us/step - loss: 0.9274
Epoch 8/10
13/13 [==============================] - 0s 921us/step - loss: 0.8783
Epoch 9/10
13/13 [==============================] - 0s 997us/step - loss: 0.8199
Epoch 10/10
13/13 [==============================] - 0s 844us/step - loss: 0.7625
###################################################################### Accuracy: 79.78159827850915
Epoch 1/10
13/13 [==============================] - 0s 2ms/step - loss: 0.9860
Epoch 2/10
13/13 [==============================] - 0s 997us/step - loss: 0.9841
Epoch 3/10
13/13 [==============================] - 0s 921us/step - loss: 0.9806
Epoch 4/10
13/13 [==============================] - 0s 997us/step - loss: 0.9739
Epoch 5/10
13/13 [==============================] - 0s 997us/step - loss: 0.9608
Epoch 6/10
13/13 [==============================] - 0s 921us/step - loss: 0.9380
Epoch 7/10
13/13 [==============================] - 0s 1ms/step - loss: 0.9076
Epoch 8/10
13/13 [==============================] - 0s 921us/step - loss: 0.8714
Epoch 9/10
13/13 [==============================] - 0s 997us/step - loss: 0.8351
Epoch 10/10
13/13 [==============================] - 0s 997us/step - loss: 0.8050
###################################################################### Accuracy: 64.46730588816527
Epoch 1/10
13/13 [==============================] - 0s 2ms/step - loss: 0.9767
Epoch 2/10
13/13 [==============================] - 0s 921us/step - loss: 0.9754
Epoch 3/10
13/13 [==============================] - 0s 997us/step - loss: 0.9734
Epoch 4/10
13/13 [==============================] - 0s 997us/step - loss: 0.9701
Epoch 5/10
13/13 [==============================] - 0s 1ms/step - loss: 0.9642
Epoch 6/10
13/13 [==============================] - 0s 997us/step - loss: 0.9539
Epoch 7/10
13/13 [==============================] - 0s 921us/step - loss: 0.9379
Epoch 8/10
13/13 [==============================] - 0s 997us/step - loss: 0.9140
Epoch 9/10
13/13 [==============================] - 0s 997us/step - loss: 0.8860
Epoch 10/10
13/13 [==============================] - 0s 997us/step - loss: 0.8574
###################################################################### Accuracy: 81.60663320116993
Epoch 1/10
13/13 [==============================] - 0s 2ms/step - loss: 1.0189
Epoch 2/10
13/13 [==============================] - 0s 997us/step - loss: 1.0182
Epoch 3/10
13/13 [==============================] - 0s 1ms/step - loss: 1.0164
Epoch 4/10
13/13 [==============================] - 0s 921us/step - loss: 1.0110
Epoch 5/10
13/13 [==============================] - 0s 997us/step - loss: 0.9990
Epoch 6/10
13/13 [==============================] - 0s 1ms/step - loss: 0.9751
Epoch 7/10
13/13 [==============================] - 0s 997us/step - loss: 0.9377
Epoch 8/10
13/13 [==============================] - 0s 921us/step - loss: 0.8841
Epoch 9/10
13/13 [==============================] - 0s 997us/step - loss: 0.8215
Epoch 10/10
13/13 [==============================] - 0s 921us/step - loss: 0.7684
###################################################################### Accuracy: 102.24596138995149
Epoch 1/10
13/13 [==============================] - 0s 2ms/step - loss: 1.0020
Epoch 2/10
13/13 [==============================] - 0s 997us/step - loss: 0.9999
Epoch 3/10
13/13 [==============================] - 0s 914us/step - loss: 0.9957
Epoch 4/10
13/13 [==============================] - 0s 1ms/step - loss: 0.9872
Epoch 5/10
13/13 [==============================] - 0s 997us/step - loss: 0.9719
Epoch 6/10
13/13 [==============================] - 0s 997us/step - loss: 0.9467
Epoch 7/10
13/13 [==============================] - 0s 997us/step - loss: 0.9073
Epoch 8/10
13/13 [==============================] - 0s 997us/step - loss: 0.8596
Epoch 9/10
13/13 [==============================] - 0s 1ms/step - loss: 0.8090
Epoch 10/10
13/13 [==============================] - 0s 997us/step - loss: 0.7640
###################################################################### Accuracy: 103.76883016528481
Epoch 1/20
13/13 [==============================] - 0s 1ms/step - loss: 1.0177
Epoch 2/20
13/13 [==============================] - 0s 998us/step - loss: 1.0147
Epoch 3/20
13/13 [==============================] - 0s 920us/step - loss: 1.0096
Epoch 4/20
13/13 [==============================] - 0s 921us/step - loss: 0.9999
Epoch 5/20
13/13 [==============================] - 0s 921us/step - loss: 0.9841
Epoch 6/20
13/13 [==============================] - 0s 921us/step - loss: 0.9587
Epoch 7/20
13/13 [==============================] - 0s 921us/step - loss: 0.9219
Epoch 8/20
13/13 [==============================] - 0s 997us/step - loss: 0.8743
Epoch 9/20
13/13 [==============================] - 0s 997us/step - loss: 0.8210
Epoch 10/20
13/13 [==============================] - 0s 998us/step - loss: 0.7670
Epoch 11/20
13/13 [==============================] - 0s 921us/step - loss: 0.7216
Epoch 12/20
13/13 [==============================] - 0s 1ms/step - loss: 0.6907
Epoch 13/20
13/13 [==============================] - 0s 1ms/step - loss: 0.6667
Epoch 14/20
13/13 [==============================] - 0s 997us/step - loss: 0.6554
Epoch 15/20
13/13 [==============================] - 0s 997us/step - loss: 0.6472
Epoch 16/20
13/13 [==============================] - 0s 1ms/step - loss: 0.6430
Epoch 17/20
13/13 [==============================] - 0s 921us/step - loss: 0.6381
Epoch 18/20
13/13 [==============================] - 0s 844us/step - loss: 0.6355
Epoch 19/20
13/13 [==============================] - 0s 844us/step - loss: 0.6333
Epoch 20/20
13/13 [==============================] - 0s 997us/step - loss: 0.6309
###################################################################### Accuracy: 69.20707804191281
Epoch 1/20
13/13 [==============================] - 0s 2ms/step - loss: 0.9865
Epoch 2/20
13/13 [==============================] - 0s 921us/step - loss: 0.9851
Epoch 3/20
13/13 [==============================] - 0s 986us/step - loss: 0.9829
Epoch 4/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9788
Epoch 5/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9695
Epoch 6/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9517
Epoch 7/20
13/13 [==============================] - 0s 921us/step - loss: 0.9239
Epoch 8/20
13/13 [==============================] - 0s 921us/step - loss: 0.8840
Epoch 9/20
13/13 [==============================] - 0s 921us/step - loss: 0.8325
Epoch 10/20
13/13 [==============================] - 0s 921us/step - loss: 0.7769
Epoch 11/20
13/13 [==============================] - 0s 997us/step - loss: 0.7258
Epoch 12/20
13/13 [==============================] - 0s 997us/step - loss: 0.6898
Epoch 13/20
13/13 [==============================] - 0s 921us/step - loss: 0.6631
Epoch 14/20
13/13 [==============================] - 0s 921us/step - loss: 0.6505
Epoch 15/20
13/13 [==============================] - 0s 921us/step - loss: 0.6440
Epoch 16/20
13/13 [==============================] - 0s 921us/step - loss: 0.6418
Epoch 17/20
13/13 [==============================] - 0s 997us/step - loss: 0.6377
Epoch 18/20
13/13 [==============================] - 0s 1ms/step - loss: 0.6350
Epoch 19/20
13/13 [==============================] - 0s 997us/step - loss: 0.6334
Epoch 20/20
13/13 [==============================] - 0s 1ms/step - loss: 0.6312
###################################################################### Accuracy: 74.71929572289032
Epoch 1/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9763
Epoch 2/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9739
Epoch 3/20
13/13 [==============================] - 0s 921us/step - loss: 0.9697
Epoch 4/20
13/13 [==============================] - 0s 997us/step - loss: 0.9613
Epoch 5/20
13/13 [==============================] - 0s 997us/step - loss: 0.9462
Epoch 6/20
13/13 [==============================] - 0s 997us/step - loss: 0.9206
Epoch 7/20
13/13 [==============================] - 0s 921us/step - loss: 0.8833
Epoch 8/20
13/13 [==============================] - 0s 921us/step - loss: 0.8324
Epoch 9/20
13/13 [==============================] - 0s 921us/step - loss: 0.7795
Epoch 10/20
13/13 [==============================] - 0s 997us/step - loss: 0.7289
Epoch 11/20
13/13 [==============================] - 0s 921us/step - loss: 0.6890
Epoch 12/20
13/13 [==============================] - 0s 844us/step - loss: 0.6629
Epoch 13/20
13/13 [==============================] - 0s 920us/step - loss: 0.6469
Epoch 14/20
13/13 [==============================] - 0s 997us/step - loss: 0.6346
Epoch 15/20
13/13 [==============================] - 0s 997us/step - loss: 0.6275
Epoch 16/20
13/13 [==============================] - 0s 997us/step - loss: 0.6238
Epoch 17/20
13/13 [==============================] - 0s 920us/step - loss: 0.6203
Epoch 18/20
13/13 [==============================] - 0s 921us/step - loss: 0.6181
Epoch 19/20
13/13 [==============================] - 0s 997us/step - loss: 0.6159
Epoch 20/20
13/13 [==============================] - 0s 997us/step - loss: 0.6138
###################################################################### Accuracy: 92.41427401894178
Epoch 1/20
13/13 [==============================] - 0s 2ms/step - loss: 1.0161
Epoch 2/20
13/13 [==============================] - 0s 997us/step - loss: 1.0115
Epoch 3/20
13/13 [==============================] - 0s 921us/step - loss: 1.0036
Epoch 4/20
13/13 [==============================] - 0s 997us/step - loss: 0.9904
Epoch 5/20
13/13 [==============================] - 0s 921us/step - loss: 0.9686
Epoch 6/20
13/13 [==============================] - 0s 997us/step - loss: 0.9400
Epoch 7/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9011
Epoch 8/20
13/13 [==============================] - 0s 997us/step - loss: 0.8547
Epoch 9/20
13/13 [==============================] - 0s 997us/step - loss: 0.8033
Epoch 10/20
13/13 [==============================] - 0s 997us/step - loss: 0.7542
Epoch 11/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7137
Epoch 12/20
13/13 [==============================] - 0s 1ms/step - loss: 0.6843
Epoch 13/20
13/13 [==============================] - 0s 1ms/step - loss: 0.6663
Epoch 14/20
13/13 [==============================] - 0s 997us/step - loss: 0.6568
Epoch 15/20
13/13 [==============================] - 0s 997us/step - loss: 0.6493
Epoch 16/20
13/13 [==============================] - 0s 921us/step - loss: 0.6442
Epoch 17/20
13/13 [==============================] - 0s 997us/step - loss: 0.6402
Epoch 18/20
13/13 [==============================] - 0s 997us/step - loss: 0.6373
Epoch 19/20
13/13 [==============================] - 0s 997us/step - loss: 0.6337
Epoch 20/20
13/13 [==============================] - 0s 921us/step - loss: 0.6303
###################################################################### Accuracy: 72.21246416972181
Epoch 1/20
13/13 [==============================] - 0s 1ms/step - loss: 1.0018
Epoch 2/20
13/13 [==============================] - 0s 921us/step - loss: 0.9994
Epoch 3/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9947
Epoch 4/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9849
Epoch 5/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9683
Epoch 6/20
13/13 [==============================] - 0s 923us/step - loss: 0.9445
Epoch 7/20
13/13 [==============================] - 0s 997us/step - loss: 0.9153
Epoch 8/20
13/13 [==============================] - 0s 844us/step - loss: 0.8831
Epoch 9/20
13/13 [==============================] - 0s 997us/step - loss: 0.8561
Epoch 10/20
13/13 [==============================] - 0s 997us/step - loss: 0.8375
Epoch 11/20
13/13 [==============================] - 0s 997us/step - loss: 0.8225
Epoch 12/20
13/13 [==============================] - 0s 997us/step - loss: 0.8126
Epoch 13/20
13/13 [==============================] - 0s 1ms/step - loss: 0.8016
Epoch 14/20
13/13 [==============================] - 0s 997us/step - loss: 0.7936
Epoch 15/20
13/13 [==============================] - 0s 921us/step - loss: 0.7840
Epoch 16/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7736
Epoch 17/20
13/13 [==============================] - 0s 844us/step - loss: 0.7617
Epoch 18/20
13/13 [==============================] - 0s 997us/step - loss: 0.7476
Epoch 19/20
13/13 [==============================] - 0s 997us/step - loss: 0.7320
Epoch 20/20
13/13 [==============================] - 0s 997us/step - loss: 0.7174
###################################################################### Accuracy: 73.12006893014612
Epoch 1/50
13/13 [==============================] - 0s 2ms/step - loss: 1.0182
Epoch 2/50
13/13 [==============================] - 0s 997us/step - loss: 1.0162
Epoch 3/50
13/13 [==============================] - 0s 867us/step - loss: 1.0127
Epoch 4/50
13/13 [==============================] - 0s 997us/step - loss: 1.0051
Epoch 5/50
13/13 [==============================] - 0s 921us/step - loss: 0.9913
Epoch 6/50
13/13 [==============================] - 0s 844us/step - loss: 0.9673
Epoch 7/50
13/13 [==============================] - 0s 921us/step - loss: 0.9339
Epoch 8/50
13/13 [==============================] - 0s 844us/step - loss: 0.8903
Epoch 9/50
13/13 [==============================] - 0s 1ms/step - loss: 0.8414
Epoch 10/50
13/13 [==============================] - 0s 997us/step - loss: 0.7895
Epoch 11/50
13/13 [==============================] - 0s 997us/step - loss: 0.7442
Epoch 12/50
13/13 [==============================] - 0s 997us/step - loss: 0.7094
Epoch 13/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6782
Epoch 14/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6578
Epoch 15/50
13/13 [==============================] - 0s 997us/step - loss: 0.6443
Epoch 16/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6343
Epoch 17/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6281
Epoch 18/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6236
Epoch 19/50
13/13 [==============================] - 0s 997us/step - loss: 0.6198
Epoch 20/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6170
Epoch 21/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6146
Epoch 22/50
13/13 [==============================] - 0s 997us/step - loss: 0.6115
Epoch 23/50
13/13 [==============================] - 0s 997us/step - loss: 0.6086
Epoch 24/50
13/13 [==============================] - 0s 997us/step - loss: 0.6064
Epoch 25/50
13/13 [==============================] - 0s 921us/step - loss: 0.6039
Epoch 26/50
13/13 [==============================] - 0s 997us/step - loss: 0.6017
Epoch 27/50
13/13 [==============================] - 0s 921us/step - loss: 0.5993
Epoch 28/50
13/13 [==============================] - 0s 920us/step - loss: 0.5975
Epoch 29/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5945
Epoch 30/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5930
Epoch 31/50
13/13 [==============================] - 0s 997us/step - loss: 0.5906
Epoch 32/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5890
Epoch 33/50
13/13 [==============================] - 0s 921us/step - loss: 0.5871
Epoch 34/50
13/13 [==============================] - 0s 921us/step - loss: 0.5852
Epoch 35/50
13/13 [==============================] - 0s 921us/step - loss: 0.5840
Epoch 36/50
13/13 [==============================] - 0s 997us/step - loss: 0.5822
Epoch 37/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5813
Epoch 38/50
13/13 [==============================] - 0s 997us/step - loss: 0.5794
Epoch 39/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5784
Epoch 40/50
13/13 [==============================] - 0s 920us/step - loss: 0.5766
Epoch 41/50
13/13 [==============================] - 0s 921us/step - loss: 0.5757
Epoch 42/50
13/13 [==============================] - 0s 921us/step - loss: 0.5746
Epoch 43/50
13/13 [==============================] - 0s 997us/step - loss: 0.5731
Epoch 44/50
13/13 [==============================] - 0s 997us/step - loss: 0.5737
Epoch 45/50
13/13 [==============================] - 0s 997us/step - loss: 0.5717
Epoch 46/50
13/13 [==============================] - 0s 997us/step - loss: 0.5711
Epoch 47/50
13/13 [==============================] - 0s 921us/step - loss: 0.5695
Epoch 48/50
13/13 [==============================] - 0s 997us/step - loss: 0.5685
Epoch 49/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5676
Epoch 50/50
13/13 [==============================] - 0s 997us/step - loss: 0.5665
###################################################################### Accuracy: 69.86734291292655
Epoch 1/50
13/13 [==============================] - 0s 1ms/step - loss: 0.9854
Epoch 2/50
13/13 [==============================] - 0s 997us/step - loss: 0.9828
Epoch 3/50
13/13 [==============================] - 0s 998us/step - loss: 0.9783
Epoch 4/50
13/13 [==============================] - 0s 921us/step - loss: 0.9704
Epoch 5/50
13/13 [==============================] - 0s 1ms/step - loss: 0.9574
Epoch 6/50
13/13 [==============================] - 0s 921us/step - loss: 0.9365
Epoch 7/50
13/13 [==============================] - 0s 997us/step - loss: 0.9075
Epoch 8/50
13/13 [==============================] - 0s 844us/step - loss: 0.8663
Epoch 9/50
13/13 [==============================] - 0s 844us/step - loss: 0.8185
Epoch 10/50
13/13 [==============================] - 0s 920us/step - loss: 0.7705
Epoch 11/50
13/13 [==============================] - 0s 997us/step - loss: 0.7290
Epoch 12/50
13/13 [==============================] - 0s 920us/step - loss: 0.6986
Epoch 13/50
13/13 [==============================] - 0s 997us/step - loss: 0.6743
Epoch 14/50
13/13 [==============================] - 0s 921us/step - loss: 0.6577
Epoch 15/50
13/13 [==============================] - 0s 997us/step - loss: 0.6463
Epoch 16/50
13/13 [==============================] - 0s 997us/step - loss: 0.6400
Epoch 17/50
13/13 [==============================] - 0s 921us/step - loss: 0.6354
Epoch 18/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6317
Epoch 19/50
13/13 [==============================] - 0s 997us/step - loss: 0.6290
Epoch 20/50
13/13 [==============================] - 0s 844us/step - loss: 0.6256
Epoch 21/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6229
Epoch 22/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6199
Epoch 23/50
13/13 [==============================] - ETA: 0s - loss: 0.555 - 0s 1ms/step - loss: 0.6179
Epoch 24/50
13/13 [==============================] - 0s 997us/step - loss: 0.6146
Epoch 25/50
13/13 [==============================] - 0s 921us/step - loss: 0.6124
Epoch 26/50
13/13 [==============================] - 0s 997us/step - loss: 0.6098
Epoch 27/50
13/13 [==============================] - 0s 921us/step - loss: 0.6077
Epoch 28/50
13/13 [==============================] - 0s 921us/step - loss: 0.6056
Epoch 29/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6037
Epoch 30/50
13/13 [==============================] - 0s 997us/step - loss: 0.6006
Epoch 31/50
13/13 [==============================] - 0s 921us/step - loss: 0.5987
Epoch 32/50
13/13 [==============================] - 0s 921us/step - loss: 0.5968
Epoch 33/50
13/13 [==============================] - 0s 997us/step - loss: 0.5951
Epoch 34/50
13/13 [==============================] - 0s 997us/step - loss: 0.5934
Epoch 35/50
13/13 [==============================] - 0s 997us/step - loss: 0.5915
Epoch 36/50
13/13 [==============================] - 0s 997us/step - loss: 0.5897
Epoch 37/50
13/13 [==============================] - 0s 997us/step - loss: 0.5890
Epoch 38/50
13/13 [==============================] - 0s 997us/step - loss: 0.5877
Epoch 39/50
13/13 [==============================] - 0s 997us/step - loss: 0.5880
Epoch 40/50
13/13 [==============================] - 0s 921us/step - loss: 0.5849
Epoch 41/50
13/13 [==============================] - 0s 997us/step - loss: 0.5836
Epoch 42/50
13/13 [==============================] - 0s 997us/step - loss: 0.5826
Epoch 43/50
13/13 [==============================] - 0s 998us/step - loss: 0.5816
Epoch 44/50
13/13 [==============================] - 0s 997us/step - loss: 0.5815
Epoch 45/50
13/13 [==============================] - 0s 921us/step - loss: 0.5800
Epoch 46/50
13/13 [==============================] - 0s 921us/step - loss: 0.5785
Epoch 47/50
13/13 [==============================] - 0s 997us/step - loss: 0.5778
Epoch 48/50
13/13 [==============================] - 0s 921us/step - loss: 0.5775
Epoch 49/50
13/13 [==============================] - 0s 921us/step - loss: 0.5762
Epoch 50/50
13/13 [==============================] - 0s 920us/step - loss: 0.5762
###################################################################### Accuracy: 71.91260617207294
Epoch 1/50
13/13 [==============================] - 0s 2ms/step - loss: 0.9760
Epoch 2/50
13/13 [==============================] - 0s 997us/step - loss: 0.9739
Epoch 3/50
13/13 [==============================] - 0s 921us/step - loss: 0.9695
Epoch 4/50
13/13 [==============================] - 0s 921us/step - loss: 0.9604
Epoch 5/50
13/13 [==============================] - 0s 997us/step - loss: 0.9447
Epoch 6/50
13/13 [==============================] - 0s 844us/step - loss: 0.9179
Epoch 7/50
13/13 [==============================] - 0s 997us/step - loss: 0.8817
Epoch 8/50
13/13 [==============================] - 0s 997us/step - loss: 0.8326
Epoch 9/50
13/13 [==============================] - 0s 921us/step - loss: 0.7797
Epoch 10/50
13/13 [==============================] - 0s 921us/step - loss: 0.7269
Epoch 11/50
13/13 [==============================] - 0s 997us/step - loss: 0.6867
Epoch 12/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6560
Epoch 13/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6390
Epoch 14/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6283
Epoch 15/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6226
Epoch 16/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6184
Epoch 17/50
13/13 [==============================] - 0s 997us/step - loss: 0.6143
Epoch 18/50
13/13 [==============================] - 0s 997us/step - loss: 0.6117
Epoch 19/50
13/13 [==============================] - 0s 997us/step - loss: 0.6095
Epoch 20/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6054
Epoch 21/50
13/13 [==============================] - 0s 997us/step - loss: 0.6026
Epoch 22/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5999
Epoch 23/50
13/13 [==============================] - 0s 997us/step - loss: 0.5980
Epoch 24/50
13/13 [==============================] - 0s 997us/step - loss: 0.5958
Epoch 25/50
13/13 [==============================] - 0s 997us/step - loss: 0.5938
Epoch 26/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5918
Epoch 27/50
13/13 [==============================] - 0s 921us/step - loss: 0.5901
Epoch 28/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5884
Epoch 29/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5873
Epoch 30/50
13/13 [==============================] - 0s 921us/step - loss: 0.5852
Epoch 31/50
13/13 [==============================] - 0s 921us/step - loss: 0.5834
Epoch 32/50
13/13 [==============================] - 0s 921us/step - loss: 0.5820
Epoch 33/50
13/13 [==============================] - 0s 920us/step - loss: 0.5815
Epoch 34/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5798
Epoch 35/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5800
Epoch 36/50
13/13 [==============================] - 0s 921us/step - loss: 0.5776
Epoch 37/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5765
Epoch 38/50
13/13 [==============================] - 0s 997us/step - loss: 0.5757
Epoch 39/50
13/13 [==============================] - 0s 920us/step - loss: 0.5749
Epoch 40/50
13/13 [==============================] - 0s 921us/step - loss: 0.5735
Epoch 41/50
13/13 [==============================] - 0s 997us/step - loss: 0.5730
Epoch 42/50
13/13 [==============================] - 0s 997us/step - loss: 0.5722
Epoch 43/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5711
Epoch 44/50
13/13 [==============================] - 0s 921us/step - loss: 0.5705
Epoch 45/50
13/13 [==============================] - 0s 997us/step - loss: 0.5693
Epoch 46/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5688
Epoch 47/50
13/13 [==============================] - 0s 997us/step - loss: 0.5678
Epoch 48/50
13/13 [==============================] - 0s 997us/step - loss: 0.5672
Epoch 49/50
13/13 [==============================] - 0s 921us/step - loss: 0.5669
Epoch 50/50
13/13 [==============================] - 0s 997us/step - loss: 0.5654
###################################################################### Accuracy: 88.20697274019935
Epoch 1/50
13/13 [==============================] - 0s 959us/step - loss: 1.0186
Epoch 2/50
13/13 [==============================] - 0s 997us/step - loss: 1.0175
Epoch 3/50
13/13 [==============================] - 0s 979us/step - loss: 1.0149
Epoch 4/50
13/13 [==============================] - 0s 1ms/step - loss: 1.0089
Epoch 5/50
13/13 [==============================] - 0s 997us/step - loss: 0.9969
Epoch 6/50
13/13 [==============================] - 0s 1ms/step - loss: 0.9772
Epoch 7/50
13/13 [==============================] - 0s 997us/step - loss: 0.9483
Epoch 8/50
13/13 [==============================] - 0s 997us/step - loss: 0.9094
Epoch 9/50
13/13 [==============================] - 0s 844us/step - loss: 0.8686
Epoch 10/50
13/13 [==============================] - 0s 997us/step - loss: 0.8243
Epoch 11/50
13/13 [==============================] - 0s 997us/step - loss: 0.7875
Epoch 12/50
13/13 [==============================] - 0s 921us/step - loss: 0.7571
Epoch 13/50
13/13 [==============================] - 0s 921us/step - loss: 0.7277
Epoch 14/50
13/13 [==============================] - 0s 921us/step - loss: 0.7059
Epoch 15/50
13/13 [==============================] - 0s 997us/step - loss: 0.6864
Epoch 16/50
13/13 [==============================] - 0s 920us/step - loss: 0.6709
Epoch 17/50
13/13 [==============================] - 0s 997us/step - loss: 0.6614
Epoch 18/50
13/13 [==============================] - 0s 997us/step - loss: 0.6534
Epoch 19/50
13/13 [==============================] - 0s 921us/step - loss: 0.6479
Epoch 20/50
13/13 [==============================] - 0s 997us/step - loss: 0.6446
Epoch 21/50
13/13 [==============================] - 0s 844us/step - loss: 0.6407
Epoch 22/50
13/13 [==============================] - 0s 921us/step - loss: 0.6385
Epoch 23/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6361
Epoch 24/50
13/13 [==============================] - 0s 997us/step - loss: 0.6344
Epoch 25/50
13/13 [==============================] - 0s 921us/step - loss: 0.6322
Epoch 26/50
13/13 [==============================] - 0s 997us/step - loss: 0.6312
Epoch 27/50
13/13 [==============================] - 0s 921us/step - loss: 0.6292
Epoch 28/50
13/13 [==============================] - 0s 921us/step - loss: 0.6283
Epoch 29/50
13/13 [==============================] - 0s 921us/step - loss: 0.6270
Epoch 30/50
13/13 [==============================] - 0s 997us/step - loss: 0.6258
Epoch 31/50
13/13 [==============================] - 0s 997us/step - loss: 0.6232
Epoch 32/50
13/13 [==============================] - 0s 844us/step - loss: 0.6219
Epoch 33/50
13/13 [==============================] - 0s 997us/step - loss: 0.6207
Epoch 34/50
13/13 [==============================] - 0s 921us/step - loss: 0.6192
Epoch 35/50
13/13 [==============================] - 0s 921us/step - loss: 0.6182
Epoch 36/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6162
Epoch 37/50
13/13 [==============================] - 0s 920us/step - loss: 0.6150
Epoch 38/50
13/13 [==============================] - 0s 921us/step - loss: 0.6140
Epoch 39/50
13/13 [==============================] - 0s 997us/step - loss: 0.6127
Epoch 40/50
13/13 [==============================] - 0s 844us/step - loss: 0.6116
Epoch 41/50
13/13 [==============================] - 0s 997us/step - loss: 0.6100
Epoch 42/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6103
Epoch 43/50
13/13 [==============================] - 0s 997us/step - loss: 0.6079
Epoch 44/50
13/13 [==============================] - 0s 921us/step - loss: 0.6073
Epoch 45/50
13/13 [==============================] - 0s 997us/step - loss: 0.6057
Epoch 46/50
13/13 [==============================] - 0s 997us/step - loss: 0.6047
Epoch 47/50
13/13 [==============================] - 0s 997us/step - loss: 0.6041
Epoch 48/50
13/13 [==============================] - 0s 921us/step - loss: 0.6025
Epoch 49/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6023
Epoch 50/50
13/13 [==============================] - 0s 921us/step - loss: 0.6007
###################################################################### Accuracy: 73.37948659228782
Epoch 1/50
13/13 [==============================] - 0s 2ms/step - loss: 1.0018
Epoch 2/50
13/13 [==============================] - 0s 997us/step - loss: 0.9996
Epoch 3/50
13/13 [==============================] - 0s 997us/step - loss: 0.9953
Epoch 4/50
13/13 [==============================] - 0s 921us/step - loss: 0.9870
Epoch 5/50
13/13 [==============================] - 0s 997us/step - loss: 0.9732
Epoch 6/50
13/13 [==============================] - 0s 844us/step - loss: 0.9489
Epoch 7/50
13/13 [==============================] - 0s 997us/step - loss: 0.9184
Epoch 8/50
13/13 [==============================] - 0s 997us/step - loss: 0.8817
Epoch 9/50
13/13 [==============================] - 0s 997us/step - loss: 0.8462
Epoch 10/50
13/13 [==============================] - 0s 844us/step - loss: 0.8137
Epoch 11/50
13/13 [==============================] - 0s 921us/step - loss: 0.7841
Epoch 12/50
13/13 [==============================] - 0s 1ms/step - loss: 0.7588
Epoch 13/50
13/13 [==============================] - 0s 921us/step - loss: 0.7342
Epoch 14/50
13/13 [==============================] - 0s 1ms/step - loss: 0.7098
Epoch 15/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6902
Epoch 16/50
13/13 [==============================] - 0s 921us/step - loss: 0.6707
Epoch 17/50
13/13 [==============================] - 0s 997us/step - loss: 0.6542
Epoch 18/50
13/13 [==============================] - 0s 997us/step - loss: 0.6435
Epoch 19/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6337
Epoch 20/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6272
Epoch 21/50
13/13 [==============================] - 0s 997us/step - loss: 0.6217
Epoch 22/50
13/13 [==============================] - 0s 921us/step - loss: 0.6176
Epoch 23/50
13/13 [==============================] - 0s 921us/step - loss: 0.6141
Epoch 24/50
13/13 [==============================] - 0s 997us/step - loss: 0.6113
Epoch 25/50
13/13 [==============================] - 0s 997us/step - loss: 0.6081
Epoch 26/50
13/13 [==============================] - 0s 997us/step - loss: 0.6057
Epoch 27/50
13/13 [==============================] - 0s 921us/step - loss: 0.6035
Epoch 28/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6017
Epoch 29/50
13/13 [==============================] - 0s 997us/step - loss: 0.6000
Epoch 30/50
13/13 [==============================] - ETA: 0s - loss: 0.469 - 0s 1ms/step - loss: 0.5977
Epoch 31/50
13/13 [==============================] - 0s 997us/step - loss: 0.5974
Epoch 32/50
13/13 [==============================] - 0s 921us/step - loss: 0.5942
Epoch 33/50
13/13 [==============================] - 0s 997us/step - loss: 0.5927
Epoch 34/50
13/13 [==============================] - 0s 921us/step - loss: 0.5913
Epoch 35/50
13/13 [==============================] - 0s 997us/step - loss: 0.5905
Epoch 36/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5885
Epoch 37/50
13/13 [==============================] - 0s 997us/step - loss: 0.5883
Epoch 38/50
13/13 [==============================] - 0s 844us/step - loss: 0.5858
Epoch 39/50
13/13 [==============================] - 0s 921us/step - loss: 0.5848
Epoch 40/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5834
Epoch 41/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5829
Epoch 42/50
13/13 [==============================] - 0s 997us/step - loss: 0.5819
Epoch 43/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5802
Epoch 44/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5798
Epoch 45/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5789
Epoch 46/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5783
Epoch 47/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5785
Epoch 48/50
13/13 [==============================] - 0s 997us/step - loss: 0.5778
Epoch 49/50
13/13 [==============================] - 0s 997us/step - loss: 0.5751
Epoch 50/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5748
###################################################################### Accuracy: 71.54203672005522
Epoch 1/100
13/13 [==============================] - 0s 2ms/step - loss: 1.0185
Epoch 2/100
13/13 [==============================] - 0s 997us/step - loss: 1.0168
Epoch 3/100
13/13 [==============================] - 0s 921us/step - loss: 1.0136
Epoch 4/100
13/13 [==============================] - 0s 921us/step - loss: 1.0055
Epoch 5/100
13/13 [==============================] - 0s 844us/step - loss: 0.9900
Epoch 6/100
13/13 [==============================] - 0s 979us/step - loss: 0.9665
Epoch 7/100
13/13 [==============================] - 0s 1ms/step - loss: 0.9351
Epoch 8/100
13/13 [==============================] - 0s 921us/step - loss: 0.9004
Epoch 9/100
13/13 [==============================] - 0s 998us/step - loss: 0.8712
Epoch 10/100
13/13 [==============================] - 0s 997us/step - loss: 0.8499
Epoch 11/100
13/13 [==============================] - 0s 921us/step - loss: 0.8344
Epoch 12/100
13/13 [==============================] - 0s 997us/step - loss: 0.8224
Epoch 13/100
13/13 [==============================] - ETA: 0s - loss: 1.031 - 0s 1ms/step - loss: 0.8111
Epoch 14/100
13/13 [==============================] - 0s 997us/step - loss: 0.8018
Epoch 15/100
13/13 [==============================] - 0s 844us/step - loss: 0.7933
Epoch 16/100
13/13 [==============================] - 0s 997us/step - loss: 0.7854
Epoch 17/100
13/13 [==============================] - 0s 921us/step - loss: 0.7780
Epoch 18/100
13/13 [==============================] - 0s 921us/step - loss: 0.7715
Epoch 19/100
13/13 [==============================] - 0s 921us/step - loss: 0.7650
Epoch 20/100
13/13 [==============================] - 0s 921us/step - loss: 0.7584
Epoch 21/100
13/13 [==============================] - 0s 997us/step - loss: 0.7527
Epoch 22/100
13/13 [==============================] - 0s 921us/step - loss: 0.7468
Epoch 23/100
13/13 [==============================] - 0s 844us/step - loss: 0.7413
Epoch 24/100
13/13 [==============================] - 0s 1ms/step - loss: 0.7354
Epoch 25/100
13/13 [==============================] - 0s 844us/step - loss: 0.7302
Epoch 26/100
13/13 [==============================] - 0s 920us/step - loss: 0.7246
Epoch 27/100
13/13 [==============================] - 0s 997us/step - loss: 0.7197
Epoch 28/100
13/13 [==============================] - 0s 997us/step - loss: 0.7143
Epoch 29/100
13/13 [==============================] - 0s 997us/step - loss: 0.7092
Epoch 30/100
13/13 [==============================] - 0s 998us/step - loss: 0.7044
Epoch 31/100
13/13 [==============================] - 0s 921us/step - loss: 0.6996
Epoch 32/100
13/13 [==============================] - 0s 997us/step - loss: 0.6952
Epoch 33/100
13/13 [==============================] - 0s 997us/step - loss: 0.6902
Epoch 34/100
13/13 [==============================] - 0s 997us/step - loss: 0.6857
Epoch 35/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6822
Epoch 36/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6771
Epoch 37/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6734
Epoch 38/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6690
Epoch 39/100
13/13 [==============================] - 0s 2ms/step - loss: 0.6649
Epoch 40/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6614
Epoch 41/100
13/13 [==============================] - ETA: 0s - loss: 0.722 - 0s 1ms/step - loss: 0.6580
Epoch 42/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6542
Epoch 43/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6510
Epoch 44/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6476
Epoch 45/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6459
Epoch 46/100
13/13 [==============================] - 0s 997us/step - loss: 0.6424
Epoch 47/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6390
Epoch 48/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6361
Epoch 49/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6332
Epoch 50/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6308
Epoch 51/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6285
Epoch 52/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6253
Epoch 53/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6241
Epoch 54/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6212
Epoch 55/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6194
Epoch 56/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6166
Epoch 57/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6154
Epoch 58/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6133
Epoch 59/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6104
Epoch 60/100
13/13 [==============================] - 0s 997us/step - loss: 0.6100
Epoch 61/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6070
Epoch 62/100
13/13 [==============================] - 0s 997us/step - loss: 0.6047
Epoch 63/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6036
Epoch 64/100
13/13 [==============================] - 0s 921us/step - loss: 0.6025
Epoch 65/100
13/13 [==============================] - 0s 997us/step - loss: 0.5994
Epoch 66/100
13/13 [==============================] - 0s 997us/step - loss: 0.5978
Epoch 67/100
13/13 [==============================] - 0s 997us/step - loss: 0.5969
Epoch 68/100
13/13 [==============================] - 0s 997us/step - loss: 0.5948
Epoch 69/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5936
Epoch 70/100
13/13 [==============================] - 0s 2ms/step - loss: 0.5913
Epoch 71/100
13/13 [==============================] - 0s 997us/step - loss: 0.5896
Epoch 72/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5879
Epoch 73/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5871
Epoch 74/100
13/13 [==============================] - 0s 920us/step - loss: 0.5854
Epoch 75/100
13/13 [==============================] - 0s 997us/step - loss: 0.5839
Epoch 76/100
13/13 [==============================] - 0s 844us/step - loss: 0.5826
Epoch 77/100
13/13 [==============================] - 0s 921us/step - loss: 0.5821
Epoch 78/100
13/13 [==============================] - 0s 997us/step - loss: 0.5799
Epoch 79/100
13/13 [==============================] - 0s 921us/step - loss: 0.5791
Epoch 80/100
13/13 [==============================] - 0s 844us/step - loss: 0.5790
Epoch 81/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5769
Epoch 82/100
13/13 [==============================] - 0s 921us/step - loss: 0.5765
Epoch 83/100
13/13 [==============================] - 0s 997us/step - loss: 0.5742
Epoch 84/100
13/13 [==============================] - 0s 921us/step - loss: 0.5741
Epoch 85/100
13/13 [==============================] - 0s 921us/step - loss: 0.5731
Epoch 86/100
13/13 [==============================] - 0s 921us/step - loss: 0.5715
Epoch 87/100
13/13 [==============================] - 0s 844us/step - loss: 0.5708
Epoch 88/100
13/13 [==============================] - 0s 921us/step - loss: 0.5692
Epoch 89/100
13/13 [==============================] - 0s 921us/step - loss: 0.5684
Epoch 90/100
13/13 [==============================] - 0s 844us/step - loss: 0.5679
Epoch 91/100
13/13 [==============================] - 0s 844us/step - loss: 0.5678
Epoch 92/100
13/13 [==============================] - 0s 921us/step - loss: 0.5663
Epoch 93/100
13/13 [==============================] - 0s 997us/step - loss: 0.5666
Epoch 94/100
13/13 [==============================] - 0s 997us/step - loss: 0.5649
Epoch 95/100
13/13 [==============================] - 0s 997us/step - loss: 0.5633
Epoch 96/100
13/13 [==============================] - 0s 997us/step - loss: 0.5631
Epoch 97/100
13/13 [==============================] - 0s 997us/step - loss: 0.5622
Epoch 98/100
13/13 [==============================] - 0s 997us/step - loss: 0.5613
Epoch 99/100
13/13 [==============================] - 0s 997us/step - loss: 0.5630
Epoch 100/100
13/13 [==============================] - 0s 997us/step - loss: 0.5594
###################################################################### Accuracy: 74.60107771207875
Epoch 1/100
13/13 [==============================] - 0s 1ms/step - loss: 0.9872
Epoch 2/100
13/13 [==============================] - 0s 1ms/step - loss: 0.9864
Epoch 3/100
13/13 [==============================] - 0s 843us/step - loss: 0.9857
Epoch 4/100
13/13 [==============================] - 0s 844us/step - loss: 0.9830
Epoch 5/100
13/13 [==============================] - 0s 617us/step - loss: 0.9766
Epoch 6/100
13/13 [==============================] - 0s 1ms/step - loss: 0.9638
Epoch 7/100
13/13 [==============================] - 0s 1ms/step - loss: 0.9404
Epoch 8/100
13/13 [==============================] - 0s 1ms/step - loss: 0.9053
Epoch 9/100
13/13 [==============================] - 0s 1ms/step - loss: 0.8599
Epoch 10/100
13/13 [==============================] - 0s 1ms/step - loss: 0.8044
Epoch 11/100
13/13 [==============================] - 0s 1ms/step - loss: 0.7520
Epoch 12/100
13/13 [==============================] - 0s 1ms/step - loss: 0.7077
Epoch 13/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6763
Epoch 14/100
13/13 [==============================] - 0s 2ms/step - loss: 0.6587
Epoch 15/100
13/13 [==============================] - 0s 920us/step - loss: 0.6510
Epoch 16/100
13/13 [==============================] - 0s 921us/step - loss: 0.6454
Epoch 17/100
13/13 [==============================] - 0s 844us/step - loss: 0.6412
Epoch 18/100
13/13 [==============================] - 0s 588us/step - loss: 0.6389
Epoch 19/100
13/13 [==============================] - 0s 893us/step - loss: 0.6361
Epoch 20/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6335
Epoch 21/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6318
Epoch 22/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6300
Epoch 23/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6281
Epoch 24/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6258
Epoch 25/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6236
Epoch 26/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6218
Epoch 27/100
13/13 [==============================] - 0s 2ms/step - loss: 0.6195
Epoch 28/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6181
Epoch 29/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6154
Epoch 30/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6143
Epoch 31/100
13/13 [==============================] - 0s 3ms/step - loss: 0.6121
Epoch 32/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6106
Epoch 33/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6087
Epoch 34/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6072
Epoch 35/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6059
Epoch 36/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6049
Epoch 37/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6034
Epoch 38/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6021
Epoch 39/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6008
Epoch 40/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5996
Epoch 41/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5978
Epoch 42/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5967
Epoch 43/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5964
Epoch 44/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5944
Epoch 45/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5948
Epoch 46/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5921
Epoch 47/100
13/13 [==============================] - 0s 921us/step - loss: 0.5906
Epoch 48/100
13/13 [==============================] - 0s 997us/step - loss: 0.5906
Epoch 49/100
13/13 [==============================] - 0s 921us/step - loss: 0.5894
Epoch 50/100
13/13 [==============================] - 0s 844us/step - loss: 0.5870
Epoch 51/100
13/13 [==============================] - 0s 844us/step - loss: 0.5862
Epoch 52/100
13/13 [==============================] - 0s 844us/step - loss: 0.5853
Epoch 53/100
13/13 [==============================] - 0s 997us/step - loss: 0.5835
Epoch 54/100
13/13 [==============================] - 0s 997us/step - loss: 0.5825
Epoch 55/100
13/13 [==============================] - 0s 921us/step - loss: 0.5821
Epoch 56/100
13/13 [==============================] - 0s 921us/step - loss: 0.5812
Epoch 57/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5796
Epoch 58/100
13/13 [==============================] - 0s 844us/step - loss: 0.5785
Epoch 59/100
13/13 [==============================] - 0s 921us/step - loss: 0.5781
Epoch 60/100
13/13 [==============================] - 0s 921us/step - loss: 0.5765
Epoch 61/100
13/13 [==============================] - 0s 921us/step - loss: 0.5765
Epoch 62/100
13/13 [==============================] - 0s 921us/step - loss: 0.5746
Epoch 63/100
13/13 [==============================] - 0s 998us/step - loss: 0.5737
Epoch 64/100
13/13 [==============================] - 0s 921us/step - loss: 0.5733
Epoch 65/100
13/13 [==============================] - 0s 921us/step - loss: 0.5720
Epoch 66/100
13/13 [==============================] - 0s 921us/step - loss: 0.5723
Epoch 67/100
13/13 [==============================] - 0s 921us/step - loss: 0.5707
Epoch 68/100
13/13 [==============================] - 0s 844us/step - loss: 0.5698
Epoch 69/100
13/13 [==============================] - 0s 844us/step - loss: 0.5688
Epoch 70/100
13/13 [==============================] - 0s 921us/step - loss: 0.5679
Epoch 71/100
13/13 [==============================] - 0s 921us/step - loss: 0.5682
Epoch 72/100
13/13 [==============================] - 0s 921us/step - loss: 0.5670
Epoch 73/100
13/13 [==============================] - 0s 921us/step - loss: 0.5660
Epoch 74/100
13/13 [==============================] - 0s 844us/step - loss: 0.5654
Epoch 75/100
13/13 [==============================] - 0s 921us/step - loss: 0.5667
Epoch 76/100
13/13 [==============================] - 0s 920us/step - loss: 0.5644
Epoch 77/100
13/13 [==============================] - 0s 997us/step - loss: 0.5637
Epoch 78/100
13/13 [==============================] - 0s 997us/step - loss: 0.5626
Epoch 79/100
13/13 [==============================] - 0s 845us/step - loss: 0.5628
Epoch 80/100
13/13 [==============================] - 0s 997us/step - loss: 0.5613
Epoch 81/100
13/13 [==============================] - 0s 921us/step - loss: 0.5614
Epoch 82/100
13/13 [==============================] - 0s 844us/step - loss: 0.5614
Epoch 83/100
13/13 [==============================] - 0s 844us/step - loss: 0.5597
Epoch 84/100
13/13 [==============================] - 0s 844us/step - loss: 0.5599
Epoch 85/100
13/13 [==============================] - 0s 844us/step - loss: 0.5589
Epoch 86/100
13/13 [==============================] - 0s 998us/step - loss: 0.5583
Epoch 87/100
13/13 [==============================] - 0s 844us/step - loss: 0.5576
Epoch 88/100
13/13 [==============================] - 0s 844us/step - loss: 0.5574
Epoch 89/100
13/13 [==============================] - 0s 997us/step - loss: 0.5578
Epoch 90/100
13/13 [==============================] - 0s 997us/step - loss: 0.5566
Epoch 91/100
13/13 [==============================] - 0s 997us/step - loss: 0.5563
Epoch 92/100
13/13 [==============================] - 0s 997us/step - loss: 0.5561
Epoch 93/100
13/13 [==============================] - 0s 921us/step - loss: 0.5544
Epoch 94/100
13/13 [==============================] - 0s 921us/step - loss: 0.5549
Epoch 95/100
13/13 [==============================] - 0s 921us/step - loss: 0.5541
Epoch 96/100
13/13 [==============================] - 0s 921us/step - loss: 0.5540
Epoch 97/100
13/13 [==============================] - 0s 921us/step - loss: 0.5541
Epoch 98/100
13/13 [==============================] - 0s 921us/step - loss: 0.5532
Epoch 99/100
13/13 [==============================] - 0s 844us/step - loss: 0.5535
Epoch 100/100
13/13 [==============================] - 0s 844us/step - loss: 0.5522
###################################################################### Accuracy: 73.70073213271552
Epoch 1/100
13/13 [==============================] - 0s 844us/step - loss: 0.9760
Epoch 2/100
13/13 [==============================] - 0s 940us/step - loss: 0.9738
Epoch 3/100
13/13 [==============================] - 0s 981us/step - loss: 0.9698
Epoch 4/100
13/13 [==============================] - 0s 903us/step - loss: 0.9622
Epoch 5/100
13/13 [==============================] - 0s 936us/step - loss: 0.9470
Epoch 6/100
13/13 [==============================] - 0s 944us/step - loss: 0.9223
Epoch 7/100
13/13 [==============================] - 0s 997us/step - loss: 0.8853
Epoch 8/100
13/13 [==============================] - 0s 1ms/step - loss: 0.8383
Epoch 9/100
13/13 [==============================] - 0s 1ms/step - loss: 0.7845
Epoch 10/100
13/13 [==============================] - 0s 1ms/step - loss: 0.7308
Epoch 11/100
13/13 [==============================] - 0s 870us/step - loss: 0.6867
Epoch 12/100
13/13 [==============================] - 0s 844us/step - loss: 0.6570
Epoch 13/100
13/13 [==============================] - 0s 921us/step - loss: 0.6416
Epoch 14/100
13/13 [==============================] - 0s 920us/step - loss: 0.6347
Epoch 15/100
13/13 [==============================] - 0s 921us/step - loss: 0.6300
Epoch 16/100
13/13 [==============================] - 0s 997us/step - loss: 0.6276
Epoch 17/100
13/13 [==============================] - 0s 997us/step - loss: 0.6237
Epoch 18/100
13/13 [==============================] - 0s 921us/step - loss: 0.6210
Epoch 19/100
13/13 [==============================] - 0s 844us/step - loss: 0.6183
Epoch 20/100
13/13 [==============================] - 0s 844us/step - loss: 0.6155
Epoch 21/100
13/13 [==============================] - 0s 844us/step - loss: 0.6130
Epoch 22/100
13/13 [==============================] - 0s 844us/step - loss: 0.6101
Epoch 23/100
13/13 [==============================] - 0s 921us/step - loss: 0.6096
Epoch 24/100
13/13 [==============================] - 0s 921us/step - loss: 0.6067
Epoch 25/100
13/13 [==============================] - 0s 921us/step - loss: 0.6037
Epoch 26/100
13/13 [==============================] - 0s 844us/step - loss: 0.6027
Epoch 27/100
13/13 [==============================] - 0s 921us/step - loss: 0.6006
Epoch 28/100
13/13 [==============================] - 0s 844us/step - loss: 0.5981
Epoch 29/100
13/13 [==============================] - 0s 921us/step - loss: 0.5962
Epoch 30/100
13/13 [==============================] - 0s 844us/step - loss: 0.5948
Epoch 31/100
13/13 [==============================] - 0s 921us/step - loss: 0.5928
Epoch 32/100
13/13 [==============================] - 0s 844us/step - loss: 0.5920
Epoch 33/100
13/13 [==============================] - 0s 844us/step - loss: 0.5898
Epoch 34/100
13/13 [==============================] - 0s 844us/step - loss: 0.5889
Epoch 35/100
13/13 [==============================] - 0s 844us/step - loss: 0.5882
Epoch 36/100
13/13 [==============================] - 0s 921us/step - loss: 0.5866
Epoch 37/100
13/13 [==============================] - 0s 921us/step - loss: 0.5847
Epoch 38/100
13/13 [==============================] - 0s 997us/step - loss: 0.5837
Epoch 39/100
13/13 [==============================] - 0s 921us/step - loss: 0.5825
Epoch 40/100
13/13 [==============================] - 0s 844us/step - loss: 0.5813
Epoch 41/100
13/13 [==============================] - 0s 767us/step - loss: 0.5800
Epoch 42/100
13/13 [==============================] - 0s 844us/step - loss: 0.5788
Epoch 43/100
13/13 [==============================] - 0s 844us/step - loss: 0.5780
Epoch 44/100
13/13 [==============================] - 0s 921us/step - loss: 0.5775
Epoch 45/100
13/13 [==============================] - 0s 767us/step - loss: 0.5757
Epoch 46/100
13/13 [==============================] - 0s 844us/step - loss: 0.5750
Epoch 47/100
13/13 [==============================] - 0s 844us/step - loss: 0.5741
Epoch 48/100
13/13 [==============================] - 0s 921us/step - loss: 0.5737
Epoch 49/100
13/13 [==============================] - 0s 844us/step - loss: 0.5724
Epoch 50/100
13/13 [==============================] - 0s 844us/step - loss: 0.5723
Epoch 51/100
13/13 [==============================] - 0s 767us/step - loss: 0.5712
Epoch 52/100
13/13 [==============================] - 0s 997us/step - loss: 0.5707
Epoch 53/100
13/13 [==============================] - 0s 844us/step - loss: 0.5702
Epoch 54/100
13/13 [==============================] - 0s 844us/step - loss: 0.5701
Epoch 55/100
13/13 [==============================] - 0s 844us/step - loss: 0.5693
Epoch 56/100
13/13 [==============================] - 0s 921us/step - loss: 0.5686
Epoch 57/100
13/13 [==============================] - 0s 997us/step - loss: 0.5678
Epoch 58/100
13/13 [==============================] - 0s 921us/step - loss: 0.5678
Epoch 59/100
13/13 [==============================] - 0s 921us/step - loss: 0.5667
Epoch 60/100
13/13 [==============================] - 0s 921us/step - loss: 0.5669
Epoch 61/100
13/13 [==============================] - 0s 767us/step - loss: 0.5662
Epoch 62/100
13/13 [==============================] - 0s 844us/step - loss: 0.5662
Epoch 63/100
13/13 [==============================] - 0s 767us/step - loss: 0.5649
Epoch 64/100
13/13 [==============================] - 0s 921us/step - loss: 0.5643
Epoch 65/100
13/13 [==============================] - 0s 921us/step - loss: 0.5639
Epoch 66/100
13/13 [==============================] - 0s 921us/step - loss: 0.5632
Epoch 67/100
13/13 [==============================] - 0s 844us/step - loss: 0.5631
Epoch 68/100
13/13 [==============================] - 0s 921us/step - loss: 0.5635
Epoch 69/100
13/13 [==============================] - 0s 845us/step - loss: 0.5628
Epoch 70/100
13/13 [==============================] - 0s 844us/step - loss: 0.5624
Epoch 71/100
13/13 [==============================] - 0s 844us/step - loss: 0.5615
Epoch 72/100
13/13 [==============================] - 0s 844us/step - loss: 0.5614
Epoch 73/100
13/13 [==============================] - 0s 921us/step - loss: 0.5602
Epoch 74/100
13/13 [==============================] - 0s 921us/step - loss: 0.5615
Epoch 75/100
13/13 [==============================] - 0s 921us/step - loss: 0.5599
Epoch 76/100
13/13 [==============================] - 0s 844us/step - loss: 0.5606
Epoch 77/100
13/13 [==============================] - 0s 997us/step - loss: 0.5597
Epoch 78/100
13/13 [==============================] - 0s 921us/step - loss: 0.5594
Epoch 79/100
13/13 [==============================] - 0s 920us/step - loss: 0.5586
Epoch 80/100
13/13 [==============================] - 0s 844us/step - loss: 0.5590
Epoch 81/100
13/13 [==============================] - 0s 844us/step - loss: 0.5584
Epoch 82/100
13/13 [==============================] - 0s 844us/step - loss: 0.5587
Epoch 83/100
13/13 [==============================] - 0s 921us/step - loss: 0.5581
Epoch 84/100
13/13 [==============================] - 0s 844us/step - loss: 0.5578
Epoch 85/100
13/13 [==============================] - 0s 921us/step - loss: 0.5573
Epoch 86/100
13/13 [==============================] - 0s 921us/step - loss: 0.5577
Epoch 87/100
13/13 [==============================] - 0s 921us/step - loss: 0.5575
Epoch 88/100
13/13 [==============================] - 0s 921us/step - loss: 0.5581
Epoch 89/100
13/13 [==============================] - 0s 921us/step - loss: 0.5568
Epoch 90/100
13/13 [==============================] - 0s 844us/step - loss: 0.5565
Epoch 91/100
13/13 [==============================] - 0s 997us/step - loss: 0.5563
Epoch 92/100
13/13 [==============================] - 0s 844us/step - loss: 0.5556
Epoch 93/100
13/13 [==============================] - 0s 921us/step - loss: 0.5557
Epoch 94/100
13/13 [==============================] - ETA: 0s - loss: 0.539 - 0s 844us/step - loss: 0.5551
Epoch 95/100
13/13 [==============================] - 0s 921us/step - loss: 0.5550
Epoch 96/100
13/13 [==============================] - 0s 844us/step - loss: 0.5546
Epoch 97/100
13/13 [==============================] - 0s 997us/step - loss: 0.5547
Epoch 98/100
13/13 [==============================] - 0s 921us/step - loss: 0.5548
Epoch 99/100
13/13 [==============================] - 0s 844us/step - loss: 0.5544
Epoch 100/100
13/13 [==============================] - 0s 844us/step - loss: 0.5543
###################################################################### Accuracy: 89.67379970465882
Epoch 1/100
13/13 [==============================] - 0s 971us/step - loss: 1.0188
Epoch 2/100
13/13 [==============================] - 0s 1ms/step - loss: 1.0158
Epoch 3/100
13/13 [==============================] - 0s 921us/step - loss: 1.0097
Epoch 4/100
13/13 [==============================] - 0s 921us/step - loss: 0.9976
Epoch 5/100
13/13 [==============================] - 0s 844us/step - loss: 0.9773
Epoch 6/100
13/13 [==============================] - 0s 844us/step - loss: 0.9435
Epoch 7/100
13/13 [==============================] - 0s 921us/step - loss: 0.8982
Epoch 8/100
13/13 [==============================] - 0s 844us/step - loss: 0.8454
Epoch 9/100
13/13 [==============================] - 0s 997us/step - loss: 0.7983
Epoch 10/100
13/13 [==============================] - 0s 844us/step - loss: 0.7594
Epoch 11/100
13/13 [==============================] - 0s 921us/step - loss: 0.7332
Epoch 12/100
13/13 [==============================] - 0s 921us/step - loss: 0.7122
Epoch 13/100
13/13 [==============================] - 0s 997us/step - loss: 0.6979
Epoch 14/100
13/13 [==============================] - 0s 921us/step - loss: 0.6843
Epoch 15/100
13/13 [==============================] - 0s 844us/step - loss: 0.6752
Epoch 16/100
13/13 [==============================] - 0s 921us/step - loss: 0.6654
Epoch 17/100
13/13 [==============================] - 0s 921us/step - loss: 0.6594
Epoch 18/100
13/13 [==============================] - 0s 920us/step - loss: 0.6549
Epoch 19/100
13/13 [==============================] - 0s 921us/step - loss: 0.6509
Epoch 20/100
13/13 [==============================] - 0s 844us/step - loss: 0.6486
Epoch 21/100
13/13 [==============================] - 0s 921us/step - loss: 0.6466
Epoch 22/100
13/13 [==============================] - 0s 921us/step - loss: 0.6446
Epoch 23/100
13/13 [==============================] - 0s 921us/step - loss: 0.6435
Epoch 24/100
13/13 [==============================] - 0s 844us/step - loss: 0.6422
Epoch 25/100
13/13 [==============================] - 0s 997us/step - loss: 0.6413
Epoch 26/100
13/13 [==============================] - 0s 844us/step - loss: 0.6403
Epoch 27/100
13/13 [==============================] - 0s 767us/step - loss: 0.6397
Epoch 28/100
13/13 [==============================] - 0s 844us/step - loss: 0.6389
Epoch 29/100
13/13 [==============================] - 0s 921us/step - loss: 0.6376
Epoch 30/100
13/13 [==============================] - 0s 921us/step - loss: 0.6374
Epoch 31/100
13/13 [==============================] - 0s 921us/step - loss: 0.6369
Epoch 32/100
13/13 [==============================] - 0s 844us/step - loss: 0.6361
Epoch 33/100
13/13 [==============================] - 0s 921us/step - loss: 0.6363
Epoch 34/100
13/13 [==============================] - 0s 921us/step - loss: 0.6351
Epoch 35/100
13/13 [==============================] - 0s 921us/step - loss: 0.6346
Epoch 36/100
13/13 [==============================] - 0s 921us/step - loss: 0.6345
Epoch 37/100
13/13 [==============================] - 0s 844us/step - loss: 0.6339
Epoch 38/100
13/13 [==============================] - 0s 767us/step - loss: 0.6335
Epoch 39/100
13/13 [==============================] - 0s 844us/step - loss: 0.6334
Epoch 40/100
13/13 [==============================] - 0s 844us/step - loss: 0.6331
Epoch 41/100
13/13 [==============================] - 0s 844us/step - loss: 0.6322
Epoch 42/100
13/13 [==============================] - 0s 921us/step - loss: 0.6320
Epoch 43/100
13/13 [==============================] - 0s 921us/step - loss: 0.6323
Epoch 44/100
13/13 [==============================] - 0s 920us/step - loss: 0.6315
Epoch 45/100
13/13 [==============================] - 0s 844us/step - loss: 0.6310
Epoch 46/100
13/13 [==============================] - 0s 844us/step - loss: 0.6307
Epoch 47/100
13/13 [==============================] - 0s 921us/step - loss: 0.6306
Epoch 48/100
13/13 [==============================] - 0s 843us/step - loss: 0.6305
Epoch 49/100
13/13 [==============================] - 0s 767us/step - loss: 0.6301
Epoch 50/100
13/13 [==============================] - 0s 921us/step - loss: 0.6298
Epoch 51/100
13/13 [==============================] - 0s 844us/step - loss: 0.6296
Epoch 52/100
13/13 [==============================] - 0s 844us/step - loss: 0.6291
Epoch 53/100
13/13 [==============================] - 0s 844us/step - loss: 0.6286
Epoch 54/100
13/13 [==============================] - 0s 921us/step - loss: 0.6283
Epoch 55/100
13/13 [==============================] - 0s 844us/step - loss: 0.6283
Epoch 56/100
13/13 [==============================] - 0s 921us/step - loss: 0.6277
Epoch 57/100
13/13 [==============================] - 0s 844us/step - loss: 0.6274
Epoch 58/100
13/13 [==============================] - 0s 767us/step - loss: 0.6271
Epoch 59/100
13/13 [==============================] - 0s 921us/step - loss: 0.6272
Epoch 60/100
13/13 [==============================] - 0s 844us/step - loss: 0.6263
Epoch 61/100
13/13 [==============================] - 0s 920us/step - loss: 0.6263
Epoch 62/100
13/13 [==============================] - 0s 844us/step - loss: 0.6259
Epoch 63/100
13/13 [==============================] - 0s 921us/step - loss: 0.6262
Epoch 64/100
13/13 [==============================] - 0s 844us/step - loss: 0.6260
Epoch 65/100
13/13 [==============================] - 0s 844us/step - loss: 0.6252
Epoch 66/100
13/13 [==============================] - 0s 844us/step - loss: 0.6248
Epoch 67/100
13/13 [==============================] - 0s 997us/step - loss: 0.6251
Epoch 68/100
13/13 [==============================] - 0s 844us/step - loss: 0.6258
Epoch 69/100
13/13 [==============================] - 0s 844us/step - loss: 0.6246
Epoch 70/100
13/13 [==============================] - 0s 921us/step - loss: 0.6252
Epoch 71/100
13/13 [==============================] - 0s 921us/step - loss: 0.6232
Epoch 72/100
13/13 [==============================] - 0s 921us/step - loss: 0.6246
Epoch 73/100
13/13 [==============================] - 0s 844us/step - loss: 0.6231
Epoch 74/100
13/13 [==============================] - 0s 844us/step - loss: 0.6233
Epoch 75/100
13/13 [==============================] - 0s 767us/step - loss: 0.6230
Epoch 76/100
13/13 [==============================] - 0s 767us/step - loss: 0.6226
Epoch 77/100
13/13 [==============================] - 0s 920us/step - loss: 0.6218
Epoch 78/100
13/13 [==============================] - 0s 845us/step - loss: 0.6217
Epoch 79/100
13/13 [==============================] - 0s 921us/step - loss: 0.6219
Epoch 80/100
13/13 [==============================] - 0s 844us/step - loss: 0.6214
Epoch 81/100
13/13 [==============================] - 0s 920us/step - loss: 0.6214
Epoch 82/100
13/13 [==============================] - 0s 844us/step - loss: 0.6207
Epoch 83/100
13/13 [==============================] - 0s 921us/step - loss: 0.6208
Epoch 84/100
13/13 [==============================] - 0s 844us/step - loss: 0.6211
Epoch 85/100
13/13 [==============================] - 0s 920us/step - loss: 0.6199
Epoch 86/100
13/13 [==============================] - 0s 845us/step - loss: 0.6195
Epoch 87/100
13/13 [==============================] - 0s 844us/step - loss: 0.6194
Epoch 88/100
13/13 [==============================] - 0s 844us/step - loss: 0.6193
Epoch 89/100
13/13 [==============================] - 0s 997us/step - loss: 0.6188
Epoch 90/100
13/13 [==============================] - 0s 921us/step - loss: 0.6182
Epoch 91/100
13/13 [==============================] - 0s 844us/step - loss: 0.6179
Epoch 92/100
13/13 [==============================] - 0s 844us/step - loss: 0.6175
Epoch 93/100
13/13 [==============================] - 0s 921us/step - loss: 0.6173
Epoch 94/100
13/13 [==============================] - 0s 921us/step - loss: 0.6167
Epoch 95/100
13/13 [==============================] - 0s 921us/step - loss: 0.6180
Epoch 96/100
13/13 [==============================] - 0s 921us/step - loss: 0.6174
Epoch 97/100
13/13 [==============================] - 0s 844us/step - loss: 0.6164
Epoch 98/100
13/13 [==============================] - 0s 844us/step - loss: 0.6160
Epoch 99/100
13/13 [==============================] - 0s 844us/step - loss: 0.6155
Epoch 100/100
13/13 [==============================] - 0s 767us/step - loss: 0.6159
###################################################################### Accuracy: 73.78730765392538
Epoch 1/100
13/13 [==============================] - 0s 1000us/step - loss: 1.0004
Epoch 2/100
13/13 [==============================] - 0s 997us/step - loss: 0.9966
Epoch 3/100
13/13 [==============================] - 0s 991us/step - loss: 0.9902
Epoch 4/100
13/13 [==============================] - 0s 997us/step - loss: 0.9768
Epoch 5/100
13/13 [==============================] - 0s 997us/step - loss: 0.9549
Epoch 6/100
13/13 [==============================] - 0s 860us/step - loss: 0.9242
Epoch 7/100
13/13 [==============================] - 0s 932us/step - loss: 0.8871
Epoch 8/100
13/13 [==============================] - 0s 921us/step - loss: 0.8583
Epoch 9/100
13/13 [==============================] - 0s 844us/step - loss: 0.8350
Epoch 10/100
13/13 [==============================] - 0s 920us/step - loss: 0.8225
Epoch 11/100
13/13 [==============================] - 0s 920us/step - loss: 0.8118
Epoch 12/100
13/13 [==============================] - 0s 844us/step - loss: 0.8031
Epoch 13/100
13/13 [==============================] - 0s 921us/step - loss: 0.7940
Epoch 14/100
13/13 [==============================] - 0s 921us/step - loss: 0.7864
Epoch 15/100
13/13 [==============================] - 0s 920us/step - loss: 0.7796
Epoch 16/100
13/13 [==============================] - 0s 921us/step - loss: 0.7727
Epoch 17/100
13/13 [==============================] - 0s 844us/step - loss: 0.7666
Epoch 18/100
13/13 [==============================] - 0s 844us/step - loss: 0.7604
Epoch 19/100
13/13 [==============================] - 0s 844us/step - loss: 0.7540
Epoch 20/100
13/13 [==============================] - 0s 921us/step - loss: 0.7481
Epoch 21/100
13/13 [==============================] - 0s 921us/step - loss: 0.7429
Epoch 22/100
13/13 [==============================] - 0s 921us/step - loss: 0.7375
Epoch 23/100
13/13 [==============================] - 0s 921us/step - loss: 0.7323
Epoch 24/100
13/13 [==============================] - 0s 920us/step - loss: 0.7279
Epoch 25/100
13/13 [==============================] - 0s 921us/step - loss: 0.7232
Epoch 26/100
13/13 [==============================] - 0s 844us/step - loss: 0.7186
Epoch 27/100
13/13 [==============================] - 0s 844us/step - loss: 0.7140
Epoch 28/100
13/13 [==============================] - 0s 844us/step - loss: 0.7097
Epoch 29/100
13/13 [==============================] - 0s 844us/step - loss: 0.7060
Epoch 30/100
13/13 [==============================] - 0s 921us/step - loss: 0.7018
Epoch 31/100
13/13 [==============================] - 0s 844us/step - loss: 0.6985
Epoch 32/100
13/13 [==============================] - 0s 921us/step - loss: 0.6946
Epoch 33/100
13/13 [==============================] - 0s 921us/step - loss: 0.6907
Epoch 34/100
13/13 [==============================] - 0s 921us/step - loss: 0.6871
Epoch 35/100
13/13 [==============================] - 0s 920us/step - loss: 0.6841
Epoch 36/100
13/13 [==============================] - 0s 997us/step - loss: 0.6799
Epoch 37/100
13/13 [==============================] - 0s 844us/step - loss: 0.6768
Epoch 38/100
13/13 [==============================] - 0s 843us/step - loss: 0.6741
Epoch 39/100
13/13 [==============================] - 0s 844us/step - loss: 0.6705
Epoch 40/100
13/13 [==============================] - 0s 844us/step - loss: 0.6673
Epoch 41/100
13/13 [==============================] - 0s 844us/step - loss: 0.6644
Epoch 42/100
13/13 [==============================] - 0s 844us/step - loss: 0.6628
Epoch 43/100
13/13 [==============================] - 0s 920us/step - loss: 0.6589
Epoch 44/100
13/13 [==============================] - 0s 922us/step - loss: 0.6571
Epoch 45/100
13/13 [==============================] - 0s 922us/step - loss: 0.6541
Epoch 46/100
13/13 [==============================] - 0s 921us/step - loss: 0.6520
Epoch 47/100
13/13 [==============================] - 0s 844us/step - loss: 0.6491
Epoch 48/100
13/13 [==============================] - 0s 844us/step - loss: 0.6469
Epoch 49/100
13/13 [==============================] - 0s 844us/step - loss: 0.6446
Epoch 50/100
13/13 [==============================] - 0s 844us/step - loss: 0.6420
Epoch 51/100
13/13 [==============================] - 0s 921us/step - loss: 0.6395
Epoch 52/100
13/13 [==============================] - 0s 921us/step - loss: 0.6374
Epoch 53/100
13/13 [==============================] - 0s 844us/step - loss: 0.6357
Epoch 54/100
13/13 [==============================] - 0s 844us/step - loss: 0.6334
Epoch 55/100
13/13 [==============================] - 0s 844us/step - loss: 0.6315
Epoch 56/100
13/13 [==============================] - 0s 921us/step - loss: 0.6300
Epoch 57/100
13/13 [==============================] - 0s 844us/step - loss: 0.6291
Epoch 58/100
13/13 [==============================] - 0s 921us/step - loss: 0.6267
Epoch 59/100
13/13 [==============================] - 0s 920us/step - loss: 0.6244
Epoch 60/100
13/13 [==============================] - 0s 844us/step - loss: 0.6229
Epoch 61/100
13/13 [==============================] - 0s 844us/step - loss: 0.6206
Epoch 62/100
13/13 [==============================] - 0s 921us/step - loss: 0.6193
Epoch 63/100
13/13 [==============================] - 0s 921us/step - loss: 0.6173
Epoch 64/100
13/13 [==============================] - 0s 844us/step - loss: 0.6174
Epoch 65/100
13/13 [==============================] - 0s 921us/step - loss: 0.6144
Epoch 66/100
13/13 [==============================] - 0s 844us/step - loss: 0.6132
Epoch 67/100
13/13 [==============================] - 0s 844us/step - loss: 0.6115
Epoch 68/100
13/13 [==============================] - 0s 921us/step - loss: 0.6097
Epoch 69/100
13/13 [==============================] - 0s 921us/step - loss: 0.6081
Epoch 70/100
13/13 [==============================] - 0s 921us/step - loss: 0.6068
Epoch 71/100
13/13 [==============================] - 0s 921us/step - loss: 0.6055
Epoch 72/100
13/13 [==============================] - 0s 921us/step - loss: 0.6050
Epoch 73/100
13/13 [==============================] - 0s 921us/step - loss: 0.6036
Epoch 74/100
13/13 [==============================] - 0s 767us/step - loss: 0.6016
Epoch 75/100
13/13 [==============================] - 0s 767us/step - loss: 0.6009
Epoch 76/100
13/13 [==============================] - 0s 920us/step - loss: 0.6002
Epoch 77/100
13/13 [==============================] - 0s 920us/step - loss: 0.5983
Epoch 78/100
13/13 [==============================] - 0s 844us/step - loss: 0.5966
Epoch 79/100
13/13 [==============================] - 0s 844us/step - loss: 0.5969
Epoch 80/100
13/13 [==============================] - 0s 920us/step - loss: 0.5950
Epoch 81/100
13/13 [==============================] - 0s 844us/step - loss: 0.5941
Epoch 82/100
13/13 [==============================] - 0s 921us/step - loss: 0.5934
Epoch 83/100
13/13 [==============================] - 0s 921us/step - loss: 0.5918
Epoch 84/100
13/13 [==============================] - 0s 921us/step - loss: 0.5911
Epoch 85/100
13/13 [==============================] - 0s 844us/step - loss: 0.5898
Epoch 86/100
13/13 [==============================] - 0s 844us/step - loss: 0.5890
Epoch 87/100
13/13 [==============================] - 0s 844us/step - loss: 0.5883
Epoch 88/100
13/13 [==============================] - 0s 844us/step - loss: 0.5877
Epoch 89/100
13/13 [==============================] - 0s 921us/step - loss: 0.5861
Epoch 90/100
13/13 [==============================] - 0s 844us/step - loss: 0.5858
Epoch 91/100
13/13 [==============================] - 0s 921us/step - loss: 0.5847
Epoch 92/100
13/13 [==============================] - 0s 921us/step - loss: 0.5853
Epoch 93/100
13/13 [==============================] - 0s 920us/step - loss: 0.5833
Epoch 94/100
13/13 [==============================] - 0s 921us/step - loss: 0.5822
Epoch 95/100
13/13 [==============================] - 0s 844us/step - loss: 0.5828
Epoch 96/100
13/13 [==============================] - 0s 921us/step - loss: 0.5809
Epoch 97/100
13/13 [==============================] - 0s 921us/step - loss: 0.5797
Epoch 98/100
13/13 [==============================] - 0s 844us/step - loss: 0.5785
Epoch 99/100
13/13 [==============================] - 0s 921us/step - loss: 0.5792
Epoch 100/100
13/13 [==============================] - 0s 844us/step - loss: 0.5770
###################################################################### Accuracy: 77.21789510698098
Epoch 1/150
13/13 [==============================] - 0s 923us/step - loss: 1.0184
Epoch 2/150
13/13 [==============================] - 0s 943us/step - loss: 1.0162
Epoch 3/150
13/13 [==============================] - 0s 920us/step - loss: 1.0113
Epoch 4/150
13/13 [==============================] - 0s 972us/step - loss: 1.0006
Epoch 5/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9807
Epoch 6/150
13/13 [==============================] - 0s 988us/step - loss: 0.9493
Epoch 7/150
13/13 [==============================] - 0s 998us/step - loss: 0.9048
Epoch 8/150
13/13 [==============================] - 0s 1ms/step - loss: 0.8497
Epoch 9/150
13/13 [==============================] - 0s 994us/step - loss: 0.7875
Epoch 10/150
13/13 [==============================] - 0s 872us/step - loss: 0.7324
Epoch 11/150
13/13 [==============================] - 0s 921us/step - loss: 0.6923
Epoch 12/150
13/13 [==============================] - 0s 962us/step - loss: 0.6632
Epoch 13/150
13/13 [==============================] - 0s 969us/step - loss: 0.6476
Epoch 14/150
13/13 [==============================] - 0s 876us/step - loss: 0.6416
Epoch 15/150
13/13 [==============================] - ETA: 0s - loss: 0.524 - 0s 997us/step - loss: 0.6351
Epoch 16/150
13/13 [==============================] - 0s 990us/step - loss: 0.6317
Epoch 17/150
13/13 [==============================] - 0s 921us/step - loss: 0.6289
Epoch 18/150
13/13 [==============================] - 0s 844us/step - loss: 0.6259
Epoch 19/150
13/13 [==============================] - 0s 921us/step - loss: 0.6232
Epoch 20/150
13/13 [==============================] - 0s 844us/step - loss: 0.6207
Epoch 21/150
13/13 [==============================] - 0s 844us/step - loss: 0.6190
Epoch 22/150
13/13 [==============================] - 0s 844us/step - loss: 0.6161
Epoch 23/150
13/13 [==============================] - 0s 844us/step - loss: 0.6138
Epoch 24/150
13/13 [==============================] - 0s 921us/step - loss: 0.6121
Epoch 25/150
13/13 [==============================] - 0s 921us/step - loss: 0.6105
Epoch 26/150
13/13 [==============================] - 0s 997us/step - loss: 0.6088
Epoch 27/150
13/13 [==============================] - 0s 921us/step - loss: 0.6069
Epoch 28/150
13/13 [==============================] - 0s 997us/step - loss: 0.6053
Epoch 29/150
13/13 [==============================] - 0s 921us/step - loss: 0.6044
Epoch 30/150
13/13 [==============================] - 0s 844us/step - loss: 0.6025
Epoch 31/150
13/13 [==============================] - 0s 844us/step - loss: 0.6012
Epoch 32/150
13/13 [==============================] - 0s 844us/step - loss: 0.6002
Epoch 33/150
13/13 [==============================] - 0s 844us/step - loss: 0.5991
Epoch 34/150
13/13 [==============================] - 0s 921us/step - loss: 0.5975
Epoch 35/150
13/13 [==============================] - 0s 920us/step - loss: 0.5963
Epoch 36/150
13/13 [==============================] - 0s 921us/step - loss: 0.5955
Epoch 37/150
13/13 [==============================] - 0s 844us/step - loss: 0.5945
Epoch 38/150
13/13 [==============================] - 0s 921us/step - loss: 0.5929
Epoch 39/150
13/13 [==============================] - 0s 845us/step - loss: 0.5922
Epoch 40/150
13/13 [==============================] - 0s 844us/step - loss: 0.5907
Epoch 41/150
13/13 [==============================] - 0s 844us/step - loss: 0.5899
Epoch 42/150
13/13 [==============================] - 0s 921us/step - loss: 0.5892
Epoch 43/150
13/13 [==============================] - 0s 844us/step - loss: 0.5879
Epoch 44/150
13/13 [==============================] - 0s 844us/step - loss: 0.5870
Epoch 45/150
13/13 [==============================] - 0s 844us/step - loss: 0.5862
Epoch 46/150
13/13 [==============================] - 0s 997us/step - loss: 0.5851
Epoch 47/150
13/13 [==============================] - 0s 844us/step - loss: 0.5843
Epoch 48/150
13/13 [==============================] - 0s 997us/step - loss: 0.5832
Epoch 49/150
13/13 [==============================] - 0s 844us/step - loss: 0.5826
Epoch 50/150
13/13 [==============================] - 0s 920us/step - loss: 0.5818
Epoch 51/150
13/13 [==============================] - 0s 921us/step - loss: 0.5810
Epoch 52/150
13/13 [==============================] - 0s 844us/step - loss: 0.5804
Epoch 53/150
13/13 [==============================] - 0s 921us/step - loss: 0.5790
Epoch 54/150
13/13 [==============================] - 0s 921us/step - loss: 0.5785
Epoch 55/150
13/13 [==============================] - 0s 844us/step - loss: 0.5779
Epoch 56/150
13/13 [==============================] - 0s 844us/step - loss: 0.5772
Epoch 57/150
13/13 [==============================] - 0s 921us/step - loss: 0.5758
Epoch 58/150
13/13 [==============================] - 0s 921us/step - loss: 0.5755
Epoch 59/150
13/13 [==============================] - 0s 844us/step - loss: 0.5753
Epoch 60/150
13/13 [==============================] - 0s 920us/step - loss: 0.5739
Epoch 61/150
13/13 [==============================] - 0s 844us/step - loss: 0.5736
Epoch 62/150
13/13 [==============================] - 0s 997us/step - loss: 0.5726
Epoch 63/150
13/13 [==============================] - 0s 844us/step - loss: 0.5716
Epoch 64/150
13/13 [==============================] - 0s 844us/step - loss: 0.5727
Epoch 65/150
13/13 [==============================] - 0s 921us/step - loss: 0.5710
Epoch 66/150
13/13 [==============================] - 0s 844us/step - loss: 0.5700
Epoch 67/150
13/13 [==============================] - 0s 844us/step - loss: 0.5704
Epoch 68/150
13/13 [==============================] - 0s 921us/step - loss: 0.5687
Epoch 69/150
13/13 [==============================] - 0s 844us/step - loss: 0.5692
Epoch 70/150
13/13 [==============================] - 0s 920us/step - loss: 0.5682
Epoch 71/150
13/13 [==============================] - 0s 921us/step - loss: 0.5673
Epoch 72/150
13/13 [==============================] - 0s 921us/step - loss: 0.5674
Epoch 73/150
13/13 [==============================] - 0s 921us/step - loss: 0.5663
Epoch 74/150
13/13 [==============================] - 0s 844us/step - loss: 0.5656
Epoch 75/150
13/13 [==============================] - 0s 844us/step - loss: 0.5663
Epoch 76/150
13/13 [==============================] - 0s 921us/step - loss: 0.5648
Epoch 77/150
13/13 [==============================] - 0s 767us/step - loss: 0.5641
Epoch 78/150
13/13 [==============================] - 0s 997us/step - loss: 0.5638
Epoch 79/150
13/13 [==============================] - 0s 844us/step - loss: 0.5627
Epoch 80/150
13/13 [==============================] - 0s 844us/step - loss: 0.5627
Epoch 81/150
13/13 [==============================] - 0s 921us/step - loss: 0.5623
Epoch 82/150
13/13 [==============================] - 0s 844us/step - loss: 0.5611
Epoch 83/150
13/13 [==============================] - 0s 997us/step - loss: 0.5607
Epoch 84/150
13/13 [==============================] - 0s 844us/step - loss: 0.5606
Epoch 85/150
13/13 [==============================] - 0s 921us/step - loss: 0.5607
Epoch 86/150
13/13 [==============================] - 0s 844us/step - loss: 0.5601
Epoch 87/150
13/13 [==============================] - 0s 844us/step - loss: 0.5597
Epoch 88/150
13/13 [==============================] - 0s 921us/step - loss: 0.5591
Epoch 89/150
13/13 [==============================] - 0s 921us/step - loss: 0.5587
Epoch 90/150
13/13 [==============================] - 0s 844us/step - loss: 0.5583
Epoch 91/150
13/13 [==============================] - 0s 921us/step - loss: 0.5577
Epoch 92/150
13/13 [==============================] - 0s 997us/step - loss: 0.5590
Epoch 93/150
13/13 [==============================] - 0s 921us/step - loss: 0.5580
Epoch 94/150
13/13 [==============================] - 0s 844us/step - loss: 0.5571
Epoch 95/150
13/13 [==============================] - 0s 921us/step - loss: 0.5564
Epoch 96/150
13/13 [==============================] - 0s 767us/step - loss: 0.5564
Epoch 97/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5565
Epoch 98/150
13/13 [==============================] - 0s 844us/step - loss: 0.5553
Epoch 99/150
13/13 [==============================] - 0s 844us/step - loss: 0.5550
Epoch 100/150
13/13 [==============================] - 0s 844us/step - loss: 0.5556
Epoch 101/150
13/13 [==============================] - 0s 919us/step - loss: 0.5547
Epoch 102/150
13/13 [==============================] - 0s 844us/step - loss: 0.5542
Epoch 103/150
13/13 [==============================] - 0s 997us/step - loss: 0.5541
Epoch 104/150
13/13 [==============================] - 0s 919us/step - loss: 0.5534
Epoch 105/150
13/13 [==============================] - 0s 844us/step - loss: 0.5533
Epoch 106/150
13/13 [==============================] - 0s 844us/step - loss: 0.5530
Epoch 107/150
13/13 [==============================] - 0s 921us/step - loss: 0.5525
Epoch 108/150
13/13 [==============================] - 0s 921us/step - loss: 0.5524
Epoch 109/150
13/13 [==============================] - 0s 921us/step - loss: 0.5524
Epoch 110/150
13/13 [==============================] - 0s 996us/step - loss: 0.5522
Epoch 111/150
13/13 [==============================] - 0s 920us/step - loss: 0.5522
Epoch 112/150
13/13 [==============================] - 0s 844us/step - loss: 0.5511
Epoch 113/150
13/13 [==============================] - 0s 921us/step - loss: 0.5506
Epoch 114/150
13/13 [==============================] - 0s 921us/step - loss: 0.5506
Epoch 115/150
13/13 [==============================] - 0s 844us/step - loss: 0.5503
Epoch 116/150
13/13 [==============================] - 0s 921us/step - loss: 0.5504
Epoch 117/150
13/13 [==============================] - 0s 921us/step - loss: 0.5500
Epoch 118/150
13/13 [==============================] - 0s 921us/step - loss: 0.5497
Epoch 119/150
13/13 [==============================] - 0s 921us/step - loss: 0.5493
Epoch 120/150
13/13 [==============================] - 0s 921us/step - loss: 0.5490
Epoch 121/150
13/13 [==============================] - 0s 844us/step - loss: 0.5488
Epoch 122/150
13/13 [==============================] - 0s 844us/step - loss: 0.5491
Epoch 123/150
13/13 [==============================] - 0s 844us/step - loss: 0.5490
Epoch 124/150
13/13 [==============================] - 0s 921us/step - loss: 0.5480
Epoch 125/150
13/13 [==============================] - 0s 844us/step - loss: 0.5483
Epoch 126/150
13/13 [==============================] - ETA: 0s - loss: 0.397 - 0s 767us/step - loss: 0.5478
Epoch 127/150
13/13 [==============================] - 0s 844us/step - loss: 0.5478
Epoch 128/150
13/13 [==============================] - 0s 921us/step - loss: 0.5479
Epoch 129/150
13/13 [==============================] - 0s 844us/step - loss: 0.5478
Epoch 130/150
13/13 [==============================] - 0s 844us/step - loss: 0.5467
Epoch 131/150
13/13 [==============================] - 0s 921us/step - loss: 0.5464
Epoch 132/150
13/13 [==============================] - 0s 921us/step - loss: 0.5464
Epoch 133/150
13/13 [==============================] - 0s 920us/step - loss: 0.5461
Epoch 134/150
13/13 [==============================] - 0s 767us/step - loss: 0.5463
Epoch 135/150
13/13 [==============================] - 0s 844us/step - loss: 0.5463
Epoch 136/150
13/13 [==============================] - 0s 844us/step - loss: 0.5457
Epoch 137/150
13/13 [==============================] - 0s 921us/step - loss: 0.5449
Epoch 138/150
13/13 [==============================] - 0s 844us/step - loss: 0.5448
Epoch 139/150
13/13 [==============================] - 0s 920us/step - loss: 0.5449
Epoch 140/150
13/13 [==============================] - 0s 844us/step - loss: 0.5443
Epoch 141/150
13/13 [==============================] - 0s 921us/step - loss: 0.5443
Epoch 142/150
13/13 [==============================] - 0s 997us/step - loss: 0.5446
Epoch 143/150
13/13 [==============================] - 0s 921us/step - loss: 0.5439
Epoch 144/150
13/13 [==============================] - 0s 997us/step - loss: 0.5449
Epoch 145/150
13/13 [==============================] - 0s 920us/step - loss: 0.5432
Epoch 146/150
13/13 [==============================] - 0s 844us/step - loss: 0.5442
Epoch 147/150
13/13 [==============================] - 0s 921us/step - loss: 0.5427
Epoch 148/150
13/13 [==============================] - 0s 921us/step - loss: 0.5429
Epoch 149/150
13/13 [==============================] - 0s 844us/step - loss: 0.5426
Epoch 150/150
13/13 [==============================] - 0s 844us/step - loss: 0.5432
###################################################################### Accuracy: 73.10300291756006
Epoch 1/150
13/13 [==============================] - 0s 921us/step - loss: 0.9862
Epoch 2/150
13/13 [==============================] - 0s 944us/step - loss: 0.9851
Epoch 3/150
13/13 [==============================] - 0s 921us/step - loss: 0.9832
Epoch 4/150
13/13 [==============================] - 0s 921us/step - loss: 0.9793
Epoch 5/150
13/13 [==============================] - 0s 894us/step - loss: 0.9714
Epoch 6/150
13/13 [==============================] - 0s 998us/step - loss: 0.9567
Epoch 7/150
13/13 [==============================] - 0s 968us/step - loss: 0.9318
Epoch 8/150
13/13 [==============================] - 0s 844us/step - loss: 0.8968
Epoch 9/150
13/13 [==============================] - 0s 844us/step - loss: 0.8594
Epoch 10/150
13/13 [==============================] - 0s 921us/step - loss: 0.8224
Epoch 11/150
13/13 [==============================] - 0s 920us/step - loss: 0.7906
Epoch 12/150
13/13 [==============================] - 0s 921us/step - loss: 0.7637
Epoch 13/150
13/13 [==============================] - 0s 844us/step - loss: 0.7392
Epoch 14/150
13/13 [==============================] - 0s 921us/step - loss: 0.7157
Epoch 15/150
13/13 [==============================] - 0s 844us/step - loss: 0.6946
Epoch 16/150
13/13 [==============================] - 0s 921us/step - loss: 0.6761
Epoch 17/150
13/13 [==============================] - 0s 921us/step - loss: 0.6606
Epoch 18/150
13/13 [==============================] - 0s 997us/step - loss: 0.6479
Epoch 19/150
13/13 [==============================] - 0s 844us/step - loss: 0.6359
Epoch 20/150
13/13 [==============================] - 0s 921us/step - loss: 0.6280
Epoch 21/150
13/13 [==============================] - 0s 997us/step - loss: 0.6216
Epoch 22/150
13/13 [==============================] - 0s 997us/step - loss: 0.6165
Epoch 23/150
13/13 [==============================] - 0s 997us/step - loss: 0.6118
Epoch 24/150
13/13 [==============================] - 0s 997us/step - loss: 0.6090
Epoch 25/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6059
Epoch 26/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6026
Epoch 27/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6004
Epoch 28/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5980
Epoch 29/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5958
Epoch 30/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5939
Epoch 31/150
13/13 [==============================] - 0s 997us/step - loss: 0.5917
Epoch 32/150
13/13 [==============================] - 0s 997us/step - loss: 0.5898
Epoch 33/150
13/13 [==============================] - 0s 997us/step - loss: 0.5894
Epoch 34/150
13/13 [==============================] - 0s 998us/step - loss: 0.5869
Epoch 35/150
13/13 [==============================] - 0s 997us/step - loss: 0.5860
Epoch 36/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5851
Epoch 37/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5842
Epoch 38/150
13/13 [==============================] - 0s 997us/step - loss: 0.5834
Epoch 39/150
13/13 [==============================] - 0s 921us/step - loss: 0.5819
Epoch 40/150
13/13 [==============================] - 0s 921us/step - loss: 0.5811
Epoch 41/150
13/13 [==============================] - 0s 921us/step - loss: 0.5812
Epoch 42/150
13/13 [==============================] - 0s 921us/step - loss: 0.5798
Epoch 43/150
13/13 [==============================] - 0s 921us/step - loss: 0.5794
Epoch 44/150
13/13 [==============================] - 0s 844us/step - loss: 0.5792
Epoch 45/150
13/13 [==============================] - 0s 921us/step - loss: 0.5799
Epoch 46/150
13/13 [==============================] - 0s 920us/step - loss: 0.5772
Epoch 47/150
13/13 [==============================] - 0s 844us/step - loss: 0.5769
Epoch 48/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5775
Epoch 49/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5764
Epoch 50/150
13/13 [==============================] - 0s 921us/step - loss: 0.5760
Epoch 51/150
13/13 [==============================] - 0s 997us/step - loss: 0.5749
Epoch 52/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5747
Epoch 53/150
13/13 [==============================] - 0s 921us/step - loss: 0.5740
Epoch 54/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5737
Epoch 55/150
13/13 [==============================] - 0s 998us/step - loss: 0.5731
Epoch 56/150
13/13 [==============================] - 0s 997us/step - loss: 0.5730
Epoch 57/150
13/13 [==============================] - 0s 997us/step - loss: 0.5731
Epoch 58/150
13/13 [==============================] - 0s 997us/step - loss: 0.5719
Epoch 59/150
13/13 [==============================] - 0s 921us/step - loss: 0.5714
Epoch 60/150
13/13 [==============================] - 0s 921us/step - loss: 0.5719
Epoch 61/150
13/13 [==============================] - 0s 844us/step - loss: 0.5708
Epoch 62/150
13/13 [==============================] - 0s 921us/step - loss: 0.5702
Epoch 63/150
13/13 [==============================] - 0s 844us/step - loss: 0.5697
Epoch 64/150
13/13 [==============================] - 0s 921us/step - loss: 0.5696
Epoch 65/150
13/13 [==============================] - 0s 921us/step - loss: 0.5691
Epoch 66/150
13/13 [==============================] - 0s 844us/step - loss: 0.5689
Epoch 67/150
13/13 [==============================] - 0s 921us/step - loss: 0.5684
Epoch 68/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5679
Epoch 69/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5679
Epoch 70/150
13/13 [==============================] - 0s 844us/step - loss: 0.5676
Epoch 71/150
13/13 [==============================] - 0s 997us/step - loss: 0.5669
Epoch 72/150
13/13 [==============================] - 0s 997us/step - loss: 0.5667
Epoch 73/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5667
Epoch 74/150
13/13 [==============================] - 0s 997us/step - loss: 0.5660
Epoch 75/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5668
Epoch 76/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5659
Epoch 77/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5654
Epoch 78/150
13/13 [==============================] - 0s 997us/step - loss: 0.5654
Epoch 79/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5654
Epoch 80/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5651
Epoch 81/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5643
Epoch 82/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5644
Epoch 83/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5646
Epoch 84/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5645
Epoch 85/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5636
Epoch 86/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5636
Epoch 87/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5632
Epoch 88/150
13/13 [==============================] - 0s 921us/step - loss: 0.5635
Epoch 89/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5625
Epoch 90/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5628
Epoch 91/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5623
Epoch 92/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5620
Epoch 93/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5617
Epoch 94/150
13/13 [==============================] - 0s 997us/step - loss: 0.5619
Epoch 95/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5615
Epoch 96/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5622
Epoch 97/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5613
Epoch 98/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5607
Epoch 99/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5604
Epoch 100/150
13/13 [==============================] - 0s 997us/step - loss: 0.5607
Epoch 101/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5603
Epoch 102/150
13/13 [==============================] - 0s 920us/step - loss: 0.5602
Epoch 103/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5600
Epoch 104/150
13/13 [==============================] - 0s 997us/step - loss: 0.5607
Epoch 105/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5604
Epoch 106/150
13/13 [==============================] - 0s 997us/step - loss: 0.5598
Epoch 107/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5597
Epoch 108/150
13/13 [==============================] - 0s 844us/step - loss: 0.5599
Epoch 109/150
13/13 [==============================] - 0s 921us/step - loss: 0.5594
Epoch 110/150
13/13 [==============================] - 0s 997us/step - loss: 0.5595
Epoch 111/150
13/13 [==============================] - 0s 921us/step - loss: 0.5599
Epoch 112/150
13/13 [==============================] - 0s 997us/step - loss: 0.5589
Epoch 113/150
13/13 [==============================] - 0s 921us/step - loss: 0.5593
Epoch 114/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5582
Epoch 115/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5585
Epoch 116/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5581
Epoch 117/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5580
Epoch 118/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5578
Epoch 119/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5571
Epoch 120/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5580
Epoch 121/150
13/13 [==============================] - 0s 997us/step - loss: 0.5569
Epoch 122/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5563
Epoch 123/150
13/13 [==============================] - 0s 997us/step - loss: 0.5565
Epoch 124/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5558
Epoch 125/150
13/13 [==============================] - 0s 921us/step - loss: 0.5560
Epoch 126/150
13/13 [==============================] - 0s 997us/step - loss: 0.5550
Epoch 127/150
13/13 [==============================] - 0s 997us/step - loss: 0.5546
Epoch 128/150
13/13 [==============================] - ETA: 0s - loss: 0.475 - 0s 1ms/step - loss: 0.5544
Epoch 129/150
13/13 [==============================] - 0s 921us/step - loss: 0.5541
Epoch 130/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5540
Epoch 131/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5533
Epoch 132/150
13/13 [==============================] - 0s 997us/step - loss: 0.5535
Epoch 133/150
13/13 [==============================] - 0s 921us/step - loss: 0.5523
Epoch 134/150
13/13 [==============================] - 0s 997us/step - loss: 0.5521
Epoch 135/150
13/13 [==============================] - 0s 921us/step - loss: 0.5522
Epoch 136/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5515
Epoch 137/150
13/13 [==============================] - 0s 997us/step - loss: 0.5511
Epoch 138/150
13/13 [==============================] - 0s 997us/step - loss: 0.5505
Epoch 139/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5505
Epoch 140/150
13/13 [==============================] - 0s 921us/step - loss: 0.5504
Epoch 141/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5496
Epoch 142/150
13/13 [==============================] - 0s 997us/step - loss: 0.5491
Epoch 143/150
13/13 [==============================] - 0s 997us/step - loss: 0.5491
Epoch 144/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5484
Epoch 145/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5480
Epoch 146/150
13/13 [==============================] - 0s 997us/step - loss: 0.5479
Epoch 147/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5493
Epoch 148/150
13/13 [==============================] - 0s 997us/step - loss: 0.5462
Epoch 149/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5470
Epoch 150/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5472
###################################################################### Accuracy: 73.42973190062783
Epoch 1/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9768
Epoch 2/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9752
Epoch 3/150
13/13 [==============================] - 0s 997us/step - loss: 0.9720
Epoch 4/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9646
Epoch 5/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9514
Epoch 6/150
13/13 [==============================] - 0s 997us/step - loss: 0.9304
Epoch 7/150
13/13 [==============================] - 0s 921us/step - loss: 0.8989
Epoch 8/150
13/13 [==============================] - 0s 997us/step - loss: 0.8593
Epoch 9/150
13/13 [==============================] - 0s 921us/step - loss: 0.8161
Epoch 10/150
13/13 [==============================] - 0s 997us/step - loss: 0.7689
Epoch 11/150
13/13 [==============================] - 0s 844us/step - loss: 0.7304
Epoch 12/150
13/13 [==============================] - 0s 844us/step - loss: 0.7004
Epoch 13/150
13/13 [==============================] - 0s 921us/step - loss: 0.6793
Epoch 14/150
13/13 [==============================] - 0s 921us/step - loss: 0.6641
Epoch 15/150
13/13 [==============================] - 0s 921us/step - loss: 0.6504
Epoch 16/150
13/13 [==============================] - 0s 997us/step - loss: 0.6422
Epoch 17/150
13/13 [==============================] - 0s 997us/step - loss: 0.6359
Epoch 18/150
13/13 [==============================] - 0s 997us/step - loss: 0.6316
Epoch 19/150
13/13 [==============================] - 0s 997us/step - loss: 0.6280
Epoch 20/150
13/13 [==============================] - 0s 921us/step - loss: 0.6253
Epoch 21/150
13/13 [==============================] - 0s 997us/step - loss: 0.6242
Epoch 22/150
13/13 [==============================] - 0s 997us/step - loss: 0.6217
Epoch 23/150
13/13 [==============================] - 0s 997us/step - loss: 0.6206
Epoch 24/150
13/13 [==============================] - 0s 921us/step - loss: 0.6191
Epoch 25/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6180
Epoch 26/150
13/13 [==============================] - 0s 997us/step - loss: 0.6168
Epoch 27/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6155
Epoch 28/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6148
Epoch 29/150
13/13 [==============================] - 0s 921us/step - loss: 0.6138
Epoch 30/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6131
Epoch 31/150
13/13 [==============================] - 0s 997us/step - loss: 0.6124
Epoch 32/150
13/13 [==============================] - 0s 921us/step - loss: 0.6112
Epoch 33/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6114
Epoch 34/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6106
Epoch 35/150
13/13 [==============================] - 0s 997us/step - loss: 0.6096
Epoch 36/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6093
Epoch 37/150
13/13 [==============================] - 0s 997us/step - loss: 0.6084
Epoch 38/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6082
Epoch 39/150
13/13 [==============================] - 0s 844us/step - loss: 0.6075
Epoch 40/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6071
Epoch 41/150
13/13 [==============================] - 0s 997us/step - loss: 0.6066
Epoch 42/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6062
Epoch 43/150
13/13 [==============================] - 0s 921us/step - loss: 0.6052
Epoch 44/150
13/13 [==============================] - 0s 997us/step - loss: 0.6061
Epoch 45/150
13/13 [==============================] - 0s 921us/step - loss: 0.6042
Epoch 46/150
13/13 [==============================] - 0s 997us/step - loss: 0.6043
Epoch 47/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6045
Epoch 48/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6029
Epoch 49/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6028
Epoch 50/150
13/13 [==============================] - 0s 997us/step - loss: 0.6023
Epoch 51/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6021
Epoch 52/150
13/13 [==============================] - 0s 997us/step - loss: 0.6016
Epoch 53/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6013
Epoch 54/150
13/13 [==============================] - 0s 997us/step - loss: 0.6004
Epoch 55/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6002
Epoch 56/150
13/13 [==============================] - 0s 921us/step - loss: 0.5997
Epoch 57/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5993
Epoch 58/150
13/13 [==============================] - 0s 920us/step - loss: 0.5989
Epoch 59/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5994
Epoch 60/150
13/13 [==============================] - 0s 997us/step - loss: 0.5984
Epoch 61/150
13/13 [==============================] - ETA: 0s - loss: 0.646 - 0s 921us/step - loss: 0.5977
Epoch 62/150
13/13 [==============================] - 0s 921us/step - loss: 0.5973
Epoch 63/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5972
Epoch 64/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5964
Epoch 65/150
13/13 [==============================] - 0s 921us/step - loss: 0.5955
Epoch 66/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5957
Epoch 67/150
13/13 [==============================] - 0s 997us/step - loss: 0.5953
Epoch 68/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5941
Epoch 69/150
13/13 [==============================] - 0s 997us/step - loss: 0.5940
Epoch 70/150
13/13 [==============================] - 0s 997us/step - loss: 0.5936
Epoch 71/150
13/13 [==============================] - 0s 997us/step - loss: 0.5927
Epoch 72/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5931
Epoch 73/150
13/13 [==============================] - 0s 997us/step - loss: 0.5917
Epoch 74/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5916
Epoch 75/150
13/13 [==============================] - 0s 997us/step - loss: 0.5910
Epoch 76/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5897
Epoch 77/150
13/13 [==============================] - 0s 921us/step - loss: 0.5893
Epoch 78/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5889
Epoch 79/150
13/13 [==============================] - 0s 997us/step - loss: 0.5881
Epoch 80/150
13/13 [==============================] - 0s 844us/step - loss: 0.5876
Epoch 81/150
13/13 [==============================] - 0s 921us/step - loss: 0.5870
Epoch 82/150
13/13 [==============================] - 0s 921us/step - loss: 0.5864
Epoch 83/150
13/13 [==============================] - 0s 844us/step - loss: 0.5860
Epoch 84/150
13/13 [==============================] - 0s 921us/step - loss: 0.5855
Epoch 85/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5854
Epoch 86/150
13/13 [==============================] - 0s 921us/step - loss: 0.5843
Epoch 87/150
13/13 [==============================] - 0s 921us/step - loss: 0.5840
Epoch 88/150
13/13 [==============================] - 0s 997us/step - loss: 0.5834
Epoch 89/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5828
Epoch 90/150
13/13 [==============================] - 0s 921us/step - loss: 0.5825
Epoch 91/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5823
Epoch 92/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5811
Epoch 93/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5803
Epoch 94/150
13/13 [==============================] - 0s 921us/step - loss: 0.5800
Epoch 95/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5790
Epoch 96/150
13/13 [==============================] - 0s 921us/step - loss: 0.5783
Epoch 97/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5783
Epoch 98/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5776
Epoch 99/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5769
Epoch 100/150
13/13 [==============================] - 0s 921us/step - loss: 0.5763
Epoch 101/150
13/13 [==============================] - 0s 997us/step - loss: 0.5759
Epoch 102/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5751
Epoch 103/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5743
Epoch 104/150
13/13 [==============================] - 0s 997us/step - loss: 0.5741
Epoch 105/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5737
Epoch 106/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5734
Epoch 107/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5729
Epoch 108/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5734
Epoch 109/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5722
Epoch 110/150
13/13 [==============================] - 0s 921us/step - loss: 0.5712
Epoch 111/150
13/13 [==============================] - 0s 997us/step - loss: 0.5709
Epoch 112/150
13/13 [==============================] - 0s 997us/step - loss: 0.5705
Epoch 113/150
13/13 [==============================] - 0s 997us/step - loss: 0.5699
Epoch 114/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5698
Epoch 115/150
13/13 [==============================] - 0s 921us/step - loss: 0.5690
Epoch 116/150
13/13 [==============================] - 0s 921us/step - loss: 0.5687
Epoch 117/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5686
Epoch 118/150
13/13 [==============================] - 0s 997us/step - loss: 0.5686
Epoch 119/150
13/13 [==============================] - 0s 921us/step - loss: 0.5674
Epoch 120/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5674
Epoch 121/150
13/13 [==============================] - 0s 997us/step - loss: 0.5668
Epoch 122/150
13/13 [==============================] - 0s 921us/step - loss: 0.5664
Epoch 123/150
13/13 [==============================] - 0s 921us/step - loss: 0.5662
Epoch 124/150
13/13 [==============================] - 0s 997us/step - loss: 0.5659
Epoch 125/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5659
Epoch 126/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5653
Epoch 127/150
13/13 [==============================] - 0s 997us/step - loss: 0.5650
Epoch 128/150
13/13 [==============================] - 0s 997us/step - loss: 0.5647
Epoch 129/150
13/13 [==============================] - 0s 997us/step - loss: 0.5659
Epoch 130/150
13/13 [==============================] - 0s 997us/step - loss: 0.5637
Epoch 131/150
13/13 [==============================] - 0s 921us/step - loss: 0.5659
Epoch 132/150
13/13 [==============================] - 0s 997us/step - loss: 0.5654
Epoch 133/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5631
Epoch 134/150
13/13 [==============================] - 0s 997us/step - loss: 0.5632
Epoch 135/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5623
Epoch 136/150
13/13 [==============================] - 0s 997us/step - loss: 0.5624
Epoch 137/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5618
Epoch 138/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5617
Epoch 139/150
13/13 [==============================] - 0s 921us/step - loss: 0.5615
Epoch 140/150
13/13 [==============================] - 0s 997us/step - loss: 0.5613
Epoch 141/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5607
Epoch 142/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5607
Epoch 143/150
13/13 [==============================] - 0s 921us/step - loss: 0.5604
Epoch 144/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5605
Epoch 145/150
13/13 [==============================] - 0s 997us/step - loss: 0.5607
Epoch 146/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5602
Epoch 147/150
13/13 [==============================] - 0s 997us/step - loss: 0.5602
Epoch 148/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5593
Epoch 149/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5591
Epoch 150/150
13/13 [==============================] - 0s 921us/step - loss: 0.5591
###################################################################### Accuracy: 88.95381145654899
Epoch 1/150
13/13 [==============================] - 0s 1ms/step - loss: 1.0185
Epoch 2/150
13/13 [==============================] - 0s 1ms/step - loss: 1.0166
Epoch 3/150
13/13 [==============================] - 0s 940us/step - loss: 1.0120
Epoch 4/150
13/13 [==============================] - 0s 1ms/step - loss: 1.0033
Epoch 5/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9876
Epoch 6/150
13/13 [==============================] - 0s 997us/step - loss: 0.9629
Epoch 7/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9299
Epoch 8/150
13/13 [==============================] - 0s 921us/step - loss: 0.8924
Epoch 9/150
13/13 [==============================] - 0s 1ms/step - loss: 0.8507
Epoch 10/150
13/13 [==============================] - 0s 1ms/step - loss: 0.8129
Epoch 11/150
13/13 [==============================] - 0s 921us/step - loss: 0.7784
Epoch 12/150
13/13 [==============================] - 0s 1ms/step - loss: 0.7496
Epoch 13/150
13/13 [==============================] - 0s 997us/step - loss: 0.7244
Epoch 14/150
13/13 [==============================] - 0s 1ms/step - loss: 0.7008
Epoch 15/150
13/13 [==============================] - 0s 997us/step - loss: 0.6846
Epoch 16/150
13/13 [==============================] - 0s 997us/step - loss: 0.6713
Epoch 17/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6619
Epoch 18/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6553
Epoch 19/150
13/13 [==============================] - 0s 997us/step - loss: 0.6504
Epoch 20/150
13/13 [==============================] - 0s 997us/step - loss: 0.6447
Epoch 21/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6417
Epoch 22/150
13/13 [==============================] - 0s 997us/step - loss: 0.6387
Epoch 23/150
13/13 [==============================] - 0s 997us/step - loss: 0.6360
Epoch 24/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6338
Epoch 25/150
13/13 [==============================] - 0s 997us/step - loss: 0.6318
Epoch 26/150
13/13 [==============================] - 0s 997us/step - loss: 0.6303
Epoch 27/150
13/13 [==============================] - 0s 997us/step - loss: 0.6276
Epoch 28/150
13/13 [==============================] - 0s 997us/step - loss: 0.6265
Epoch 29/150
13/13 [==============================] - 0s 997us/step - loss: 0.6233
Epoch 30/150
13/13 [==============================] - 0s 844us/step - loss: 0.6219
Epoch 31/150
13/13 [==============================] - 0s 997us/step - loss: 0.6202
Epoch 32/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6190
Epoch 33/150
13/13 [==============================] - 0s 997us/step - loss: 0.6178
Epoch 34/150
13/13 [==============================] - 0s 997us/step - loss: 0.6162
Epoch 35/150
13/13 [==============================] - 0s 921us/step - loss: 0.6153
Epoch 36/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6136
Epoch 37/150
13/13 [==============================] - 0s 997us/step - loss: 0.6123
Epoch 38/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6113
Epoch 39/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6108
Epoch 40/150
13/13 [==============================] - 0s 997us/step - loss: 0.6095
Epoch 41/150
13/13 [==============================] - 0s 997us/step - loss: 0.6082
Epoch 42/150
13/13 [==============================] - 0s 997us/step - loss: 0.6071
Epoch 43/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6065
Epoch 44/150
13/13 [==============================] - 0s 920us/step - loss: 0.6057
Epoch 45/150
13/13 [==============================] - 0s 997us/step - loss: 0.6057
Epoch 46/150
13/13 [==============================] - 0s 997us/step - loss: 0.6038
Epoch 47/150
13/13 [==============================] - 0s 921us/step - loss: 0.6030
Epoch 48/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6023
Epoch 49/150
13/13 [==============================] - 0s 997us/step - loss: 0.6013
Epoch 50/150
13/13 [==============================] - 0s 997us/step - loss: 0.6012
Epoch 51/150
13/13 [==============================] - 0s 920us/step - loss: 0.6002
Epoch 52/150
13/13 [==============================] - 0s 998us/step - loss: 0.5998
Epoch 53/150
13/13 [==============================] - 0s 997us/step - loss: 0.5984
Epoch 54/150
13/13 [==============================] - 0s 997us/step - loss: 0.5986
Epoch 55/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5979
Epoch 56/150
13/13 [==============================] - 0s 998us/step - loss: 0.5977
Epoch 57/150
13/13 [==============================] - 0s 997us/step - loss: 0.5965
Epoch 58/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5957
Epoch 59/150
13/13 [==============================] - 0s 921us/step - loss: 0.5952
Epoch 60/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5949
Epoch 61/150
13/13 [==============================] - 0s 997us/step - loss: 0.5940
Epoch 62/150
13/13 [==============================] - 0s 997us/step - loss: 0.5942
Epoch 63/150
13/13 [==============================] - 0s 920us/step - loss: 0.5935
Epoch 64/150
13/13 [==============================] - 0s 921us/step - loss: 0.5927
Epoch 65/150
13/13 [==============================] - 0s 997us/step - loss: 0.5928
Epoch 66/150
13/13 [==============================] - 0s 921us/step - loss: 0.5919
Epoch 67/150
13/13 [==============================] - 0s 997us/step - loss: 0.5927
Epoch 68/150
13/13 [==============================] - 0s 997us/step - loss: 0.5910
Epoch 69/150
13/13 [==============================] - 0s 997us/step - loss: 0.5910
Epoch 70/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5905
Epoch 71/150
13/13 [==============================] - 0s 921us/step - loss: 0.5898
Epoch 72/150
13/13 [==============================] - 0s 997us/step - loss: 0.5899
Epoch 73/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5893
Epoch 74/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5891
Epoch 75/150
13/13 [==============================] - 0s 921us/step - loss: 0.5885
Epoch 76/150
13/13 [==============================] - 0s 997us/step - loss: 0.5881
Epoch 77/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5880
Epoch 78/150
13/13 [==============================] - 0s 997us/step - loss: 0.5876
Epoch 79/150
13/13 [==============================] - 0s 997us/step - loss: 0.5872
Epoch 80/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5866
Epoch 81/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5866
Epoch 82/150
13/13 [==============================] - 0s 998us/step - loss: 0.5861
Epoch 83/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5855
Epoch 84/150
13/13 [==============================] - 0s 997us/step - loss: 0.5872
Epoch 85/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5854
Epoch 86/150
13/13 [==============================] - 0s 921us/step - loss: 0.5852
Epoch 87/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5846
Epoch 88/150
13/13 [==============================] - 0s 997us/step - loss: 0.5840
Epoch 89/150
13/13 [==============================] - 0s 997us/step - loss: 0.5837
Epoch 90/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5832
Epoch 91/150
13/13 [==============================] - ETA: 0s - loss: 0.680 - 0s 1ms/step - loss: 0.5831
Epoch 92/150
13/13 [==============================] - 0s 997us/step - loss: 0.5826
Epoch 93/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5842
Epoch 94/150
13/13 [==============================] - 0s 997us/step - loss: 0.5823
Epoch 95/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5821
Epoch 96/150
13/13 [==============================] - 0s 921us/step - loss: 0.5817
Epoch 97/150
13/13 [==============================] - 0s 997us/step - loss: 0.5812
Epoch 98/150
13/13 [==============================] - 0s 921us/step - loss: 0.5809
Epoch 99/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5805
Epoch 100/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5800
Epoch 101/150
13/13 [==============================] - 0s 997us/step - loss: 0.5801
Epoch 102/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5791
Epoch 103/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5788
Epoch 104/150
13/13 [==============================] - 0s 921us/step - loss: 0.5794
Epoch 105/150
13/13 [==============================] - 0s 921us/step - loss: 0.5792
Epoch 106/150
13/13 [==============================] - 0s 997us/step - loss: 0.5780
Epoch 107/150
13/13 [==============================] - 0s 921us/step - loss: 0.5772
Epoch 108/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5770
Epoch 109/150
13/13 [==============================] - 0s 997us/step - loss: 0.5764
Epoch 110/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5760
Epoch 111/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5753
Epoch 112/150
13/13 [==============================] - 0s 997us/step - loss: 0.5753
Epoch 113/150
13/13 [==============================] - 0s 997us/step - loss: 0.5746
Epoch 114/150
13/13 [==============================] - 0s 997us/step - loss: 0.5746
Epoch 115/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5742
Epoch 116/150
13/13 [==============================] - 0s 921us/step - loss: 0.5739
Epoch 117/150
13/13 [==============================] - 0s 997us/step - loss: 0.5726
Epoch 118/150
13/13 [==============================] - 0s 997us/step - loss: 0.5726
Epoch 119/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5727
Epoch 120/150
13/13 [==============================] - 0s 998us/step - loss: 0.5726
Epoch 121/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5717
Epoch 122/150
13/13 [==============================] - 0s 921us/step - loss: 0.5710
Epoch 123/150
13/13 [==============================] - 0s 921us/step - loss: 0.5712
Epoch 124/150
13/13 [==============================] - 0s 997us/step - loss: 0.5703
Epoch 125/150
13/13 [==============================] - 0s 920us/step - loss: 0.5704
Epoch 126/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5716
Epoch 127/150
13/13 [==============================] - 0s 997us/step - loss: 0.5694
Epoch 128/150
13/13 [==============================] - 0s 997us/step - loss: 0.5686
Epoch 129/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5691
Epoch 130/150
13/13 [==============================] - 0s 997us/step - loss: 0.5712
Epoch 131/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5682
Epoch 132/150
13/13 [==============================] - 0s 997us/step - loss: 0.5677
Epoch 133/150
13/13 [==============================] - 0s 920us/step - loss: 0.5672
Epoch 134/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5672
Epoch 135/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5664
Epoch 136/150
13/13 [==============================] - 0s 997us/step - loss: 0.5669
Epoch 137/150
13/13 [==============================] - 0s 997us/step - loss: 0.5664
Epoch 138/150
13/13 [==============================] - 0s 997us/step - loss: 0.5658
Epoch 139/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5657
Epoch 140/150
13/13 [==============================] - 0s 997us/step - loss: 0.5650
Epoch 141/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5649
Epoch 142/150
13/13 [==============================] - 0s 922us/step - loss: 0.5644
Epoch 143/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5648
Epoch 144/150
13/13 [==============================] - 0s 997us/step - loss: 0.5659
Epoch 145/150
13/13 [==============================] - 0s 997us/step - loss: 0.5638
Epoch 146/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5634
Epoch 147/150
13/13 [==============================] - 0s 997us/step - loss: 0.5636
Epoch 148/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5635
Epoch 149/150
13/13 [==============================] - 0s 921us/step - loss: 0.5633
Epoch 150/150
13/13 [==============================] - 0s 921us/step - loss: 0.5634
###################################################################### Accuracy: 72.84836346654363
Epoch 1/150
13/13 [==============================] - 0s 1ms/step - loss: 1.0022
Epoch 2/150
13/13 [==============================] - 0s 1ms/step - loss: 1.0006
Epoch 3/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9975
Epoch 4/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9926
Epoch 5/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9848
Epoch 6/150
13/13 [==============================] - 0s 997us/step - loss: 0.9714
Epoch 7/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9526
Epoch 8/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9247
Epoch 9/150
13/13 [==============================] - 0s 844us/step - loss: 0.8896
Epoch 10/150
13/13 [==============================] - 0s 998us/step - loss: 0.8481
Epoch 11/150
13/13 [==============================] - 0s 997us/step - loss: 0.8033
Epoch 12/150
13/13 [==============================] - 0s 997us/step - loss: 0.7578
Epoch 13/150
13/13 [==============================] - 0s 1ms/step - loss: 0.7182
Epoch 14/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6895
Epoch 15/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6646
Epoch 16/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6509
Epoch 17/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6415
Epoch 18/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6363
Epoch 19/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6323
Epoch 20/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6292
Epoch 21/150
13/13 [==============================] - 0s 997us/step - loss: 0.6270
Epoch 22/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6248
Epoch 23/150
13/13 [==============================] - 0s 997us/step - loss: 0.6229
Epoch 24/150
13/13 [==============================] - 0s 2ms/step - loss: 0.6205
Epoch 25/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6189
Epoch 26/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6165
Epoch 27/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6149
Epoch 28/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6128
Epoch 29/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6110
Epoch 30/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6094
Epoch 31/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6082
Epoch 32/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6065
Epoch 33/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6043
Epoch 34/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6035
Epoch 35/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6020
Epoch 36/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6006
Epoch 37/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5988
Epoch 38/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5975
Epoch 39/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5964
Epoch 40/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5949
Epoch 41/150
13/13 [==============================] - 0s 997us/step - loss: 0.5935
Epoch 42/150
13/13 [==============================] - 0s 997us/step - loss: 0.5930
Epoch 43/150
13/13 [==============================] - 0s 997us/step - loss: 0.5912
Epoch 44/150
13/13 [==============================] - 0s 997us/step - loss: 0.5901
Epoch 45/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5887
Epoch 46/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5878
Epoch 47/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5865
Epoch 48/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5855
Epoch 49/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5849
Epoch 50/150
13/13 [==============================] - 0s 997us/step - loss: 0.5837
Epoch 51/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5825
Epoch 52/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5817
Epoch 53/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5803
Epoch 54/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5793
Epoch 55/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5778
Epoch 56/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5770
Epoch 57/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5758
Epoch 58/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5753
Epoch 59/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5745
Epoch 60/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5734
Epoch 61/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5723
Epoch 62/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5721
Epoch 63/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5704
Epoch 64/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5700
Epoch 65/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5691
Epoch 66/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5672
Epoch 67/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5660
Epoch 68/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5657
Epoch 69/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5637
Epoch 70/150
13/13 [==============================] - ETA: 0s - loss: 0.654 - 0s 1ms/step - loss: 0.5631
Epoch 71/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5641
Epoch 72/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5606
Epoch 73/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5614
Epoch 74/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5599
Epoch 75/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5585
Epoch 76/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5583
Epoch 77/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5572
Epoch 78/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5568
Epoch 79/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5563
Epoch 80/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5552
Epoch 81/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5552
Epoch 82/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5534
Epoch 83/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5533
Epoch 84/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5521
Epoch 85/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5519
Epoch 86/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5512
Epoch 87/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5503
Epoch 88/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5501
Epoch 89/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5490
Epoch 90/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5488
Epoch 91/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5487
Epoch 92/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5474
Epoch 93/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5465
Epoch 94/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5465
Epoch 95/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5465
Epoch 96/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5452
Epoch 97/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5445
Epoch 98/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5437
Epoch 99/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5444
Epoch 100/150
13/13 [==============================] - ETA: 0s - loss: 0.486 - 0s 1ms/step - loss: 0.5428
Epoch 101/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5423
Epoch 102/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5417
Epoch 103/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5410
Epoch 104/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5407
Epoch 105/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5402
Epoch 106/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5400
Epoch 107/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5410
Epoch 108/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5393
Epoch 109/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5393
Epoch 110/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5383
Epoch 111/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5377
Epoch 112/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5384
Epoch 113/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5379
Epoch 114/150
13/13 [==============================] - 0s 921us/step - loss: 0.5365
Epoch 115/150
13/13 [==============================] - 0s 921us/step - loss: 0.5368
Epoch 116/150
13/13 [==============================] - 0s 997us/step - loss: 0.5360
Epoch 117/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5352
Epoch 118/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5356
Epoch 119/150
13/13 [==============================] - 0s 997us/step - loss: 0.5346
Epoch 120/150
13/13 [==============================] - 0s 997us/step - loss: 0.5340
Epoch 121/150
13/13 [==============================] - 0s 997us/step - loss: 0.5338
Epoch 122/150
13/13 [==============================] - 0s 997us/step - loss: 0.5332
Epoch 123/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5338
Epoch 124/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5329
Epoch 125/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5318
Epoch 126/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5323
Epoch 127/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5316
Epoch 128/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5306
Epoch 129/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5303
Epoch 130/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5306
Epoch 131/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5294
Epoch 132/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5292
Epoch 133/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5286
Epoch 134/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5294
Epoch 135/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5277
Epoch 136/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5281
Epoch 137/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5273
Epoch 138/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5271
Epoch 139/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5269
Epoch 140/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5262
Epoch 141/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5276
Epoch 142/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5259
Epoch 143/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5253
Epoch 144/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5252
Epoch 145/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5245
Epoch 146/150
13/13 [==============================] - 0s 3ms/step - loss: 0.5237
Epoch 147/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5235
Epoch 148/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5235
Epoch 149/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5236
Epoch 150/150
13/13 [==============================] - 0s 997us/step - loss: 0.5222
###################################################################### Accuracy: 75.09697538475608
Epoch 1/10
152/152 [==============================] - 0s 1ms/step - loss: 1.0076
Epoch 2/10
152/152 [==============================] - 0s 1ms/step - loss: 0.8865
Epoch 3/10
152/152 [==============================] - 0s 925us/step - loss: 0.7136
Epoch 4/10
152/152 [==============================] - 0s 589us/step - loss: 0.6495
Epoch 5/10
152/152 [==============================] - 0s 618us/step - loss: 0.6333
Epoch 6/10
152/152 [==============================] - 0s 598us/step - loss: 0.6256
Epoch 7/10
152/152 [==============================] - 0s 516us/step - loss: 0.6196
Epoch 8/10
152/152 [==============================] - 0s 669us/step - loss: 0.6111
Epoch 9/10
152/152 [==============================] - 0s 615us/step - loss: 0.6080
Epoch 10/10
152/152 [==============================] - 0s 521us/step - loss: 0.6023
###################################################################### Accuracy: 67.64892520018077
Epoch 1/10
153/153 [==============================] - 0s 929us/step - loss: 0.9736
Epoch 2/10
153/153 [==============================] - 0s 880us/step - loss: 0.8745
Epoch 3/10
153/153 [==============================] - 0s 756us/step - loss: 0.7365
Epoch 4/10
153/153 [==============================] - 0s 584us/step - loss: 0.6684
Epoch 5/10
153/153 [==============================] - 0s 655us/step - loss: 0.6464
Epoch 6/10
153/153 [==============================] - 0s 621us/step - loss: 0.6382
Epoch 7/10
153/153 [==============================] - 0s 612us/step - loss: 0.6303
Epoch 8/10
153/153 [==============================] - 0s 619us/step - loss: 0.6259
Epoch 9/10
153/153 [==============================] - 0s 692us/step - loss: 0.6204
Epoch 10/10
153/153 [==============================] - 0s 815us/step - loss: 0.6147
###################################################################### Accuracy: 74.5135253783611
Epoch 1/10
153/153 [==============================] - 0s 857us/step - loss: 0.9594
Epoch 2/10
153/153 [==============================] - 0s 954us/step - loss: 0.8487
Epoch 3/10
153/153 [==============================] - 0s 828us/step - loss: 0.7487
Epoch 4/10
153/153 [==============================] - 0s 776us/step - loss: 0.7085
Epoch 5/10
153/153 [==============================] - 0s 612us/step - loss: 0.6801
Epoch 6/10
153/153 [==============================] - 0s 722us/step - loss: 0.6669
Epoch 7/10
153/153 [==============================] - 0s 796us/step - loss: 0.6532
Epoch 8/10
153/153 [==============================] - 0s 732us/step - loss: 0.6460
Epoch 9/10
153/153 [==============================] - 0s 718us/step - loss: 0.6372
Epoch 10/10
153/153 [==============================] - 0s 609us/step - loss: 0.6304
###################################################################### Accuracy: 98.07881884974282
Epoch 1/10
153/153 [==============================] - 0s 804us/step - loss: 1.0099
Epoch 2/10
153/153 [==============================] - 0s 963us/step - loss: 0.9092
Epoch 3/10
153/153 [==============================] - 0s 743us/step - loss: 0.7475
Epoch 4/10
153/153 [==============================] - 0s 664us/step - loss: 0.6724
Epoch 5/10
153/153 [==============================] - 0s 785us/step - loss: 0.6492
Epoch 6/10
153/153 [==============================] - 0s 660us/step - loss: 0.6422
Epoch 7/10
153/153 [==============================] - 0s 783us/step - loss: 0.6354
Epoch 8/10
153/153 [==============================] - 0s 739us/step - loss: 0.6310
Epoch 9/10
153/153 [==============================] - 0s 607us/step - loss: 0.6268
Epoch 10/10
153/153 [==============================] - 0s 747us/step - loss: 0.6219
###################################################################### Accuracy: 79.91091085719523
Epoch 1/10
153/153 [==============================] - 0s 841us/step - loss: 0.9856
Epoch 2/10
153/153 [==============================] - 0s 802us/step - loss: 0.8557
Epoch 3/10
153/153 [==============================] - 0s 769us/step - loss: 0.7141
Epoch 4/10
153/153 [==============================] - 0s 854us/step - loss: 0.6549
Epoch 5/10
153/153 [==============================] - 0s 880us/step - loss: 0.6355
Epoch 6/10
153/153 [==============================] - 0s 802us/step - loss: 0.6272
Epoch 7/10
153/153 [==============================] - 0s 841us/step - loss: 0.6203
Epoch 8/10
153/153 [==============================] - 0s 971us/step - loss: 0.6139
Epoch 9/10
153/153 [==============================] - 0s 860us/step - loss: 0.6073
Epoch 10/10
153/153 [==============================] - 0s 815us/step - loss: 0.6015
###################################################################### Accuracy: 78.29149443944543
Epoch 1/20
152/152 [==============================] - 0s 787us/step - loss: 0.9998
Epoch 2/20
152/152 [==============================] - 0s 761us/step - loss: 0.8749
Epoch 3/20
152/152 [==============================] - 0s 755us/step - loss: 0.7212
Epoch 4/20
152/152 [==============================] - 0s 728us/step - loss: 0.6527
Epoch 5/20
152/152 [==============================] - 0s 709us/step - loss: 0.6348
Epoch 6/20
152/152 [==============================] - 0s 748us/step - loss: 0.6262
Epoch 7/20
152/152 [==============================] - 0s 741us/step - loss: 0.6185
Epoch 8/20
152/152 [==============================] - 0s 715us/step - loss: 0.6107
Epoch 9/20
152/152 [==============================] - 0s 682us/step - loss: 0.6069
Epoch 10/20
152/152 [==============================] - 0s 748us/step - loss: 0.6039
Epoch 11/20
152/152 [==============================] - 0s 755us/step - loss: 0.5989
Epoch 12/20
152/152 [==============================] - 0s 748us/step - loss: 0.5947
Epoch 13/20
152/152 [==============================] - 0s 728us/step - loss: 0.5934
Epoch 14/20
152/152 [==============================] - 0s 761us/step - loss: 0.5904
Epoch 15/20
152/152 [==============================] - 0s 741us/step - loss: 0.5842
Epoch 16/20
152/152 [==============================] - 0s 728us/step - loss: 0.5857
Epoch 17/20
152/152 [==============================] - 0s 741us/step - loss: 0.5827
Epoch 18/20
152/152 [==============================] - 0s 755us/step - loss: 0.5811
Epoch 19/20
152/152 [==============================] - 0s 774us/step - loss: 0.5792
Epoch 20/20
152/152 [==============================] - 0s 755us/step - loss: 0.5785
###################################################################### Accuracy: 67.32409249563521
Epoch 1/20
153/153 [==============================] - 0s 782us/step - loss: 0.9626
Epoch 2/20
153/153 [==============================] - 0s 743us/step - loss: 0.8191
Epoch 3/20
153/153 [==============================] - 0s 782us/step - loss: 0.6861
Epoch 4/20
153/153 [==============================] - 0s 913us/step - loss: 0.6476
Epoch 5/20
153/153 [==============================] - 0s 945us/step - loss: 0.6365
Epoch 6/20
153/153 [==============================] - 0s 893us/step - loss: 0.6282
Epoch 7/20
153/153 [==============================] - 0s 919us/step - loss: 0.6241
Epoch 8/20
153/153 [==============================] - 0s 821us/step - loss: 0.6190
Epoch 9/20
153/153 [==============================] - 0s 815us/step - loss: 0.6144
Epoch 10/20
153/153 [==============================] - 0s 743us/step - loss: 0.6089
Epoch 11/20
153/153 [==============================] - 0s 776us/step - loss: 0.6038
Epoch 12/20
153/153 [==============================] - 0s 763us/step - loss: 0.6011
Epoch 13/20
153/153 [==============================] - 0s 789us/step - loss: 0.5967
Epoch 14/20
153/153 [==============================] - 0s 776us/step - loss: 0.5941
Epoch 15/20
153/153 [==============================] - 0s 782us/step - loss: 0.5912
Epoch 16/20
153/153 [==============================] - 0s 789us/step - loss: 0.5881
Epoch 17/20
153/153 [==============================] - 0s 756us/step - loss: 0.5843
Epoch 18/20
153/153 [==============================] - 0s 789us/step - loss: 0.5834
Epoch 19/20
153/153 [==============================] - 0s 769us/step - loss: 0.5819
Epoch 20/20
153/153 [==============================] - 0s 756us/step - loss: 0.5779
###################################################################### Accuracy: 74.7682782598474
Epoch 1/20
  1/153 [..............................] - ETA: 0s - loss: 0.8705WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
153/153 [==============================] - 0s 821us/step - loss: 0.9628
Epoch 2/20
153/153 [==============================] - 0s 789us/step - loss: 0.8457
Epoch 3/20
153/153 [==============================] - 0s 750us/step - loss: 0.7008
Epoch 4/20
153/153 [==============================] - 0s 802us/step - loss: 0.6426
Epoch 5/20
153/153 [==============================] - 0s 756us/step - loss: 0.6237
Epoch 6/20
153/153 [==============================] - 0s 776us/step - loss: 0.6170
Epoch 7/20
153/153 [==============================] - 0s 776us/step - loss: 0.6121
Epoch 8/20
153/153 [==============================] - 0s 789us/step - loss: 0.6053
Epoch 9/20
153/153 [==============================] - 0s 756us/step - loss: 0.6008
Epoch 10/20
153/153 [==============================] - 0s 763us/step - loss: 0.5951
Epoch 11/20
153/153 [==============================] - 0s 776us/step - loss: 0.5924
Epoch 12/20
153/153 [==============================] - 0s 743us/step - loss: 0.5896
Epoch 13/20
153/153 [==============================] - 0s 763us/step - loss: 0.5869
Epoch 14/20
153/153 [==============================] - 0s 789us/step - loss: 0.5833
Epoch 15/20
153/153 [==============================] - 0s 763us/step - loss: 0.5802
Epoch 16/20
153/153 [==============================] - 0s 763us/step - loss: 0.5777
Epoch 17/20
153/153 [==============================] - 0s 763us/step - loss: 0.5760
Epoch 18/20
153/153 [==============================] - 0s 776us/step - loss: 0.5731
Epoch 19/20
153/153 [==============================] - 0s 776us/step - loss: 0.5723
Epoch 20/20
153/153 [==============================] - 0s 789us/step - loss: 0.5712
###################################################################### Accuracy: 90.39583422110425
Epoch 1/20
153/153 [==============================] - 0s 800us/step - loss: 1.0058
Epoch 2/20
153/153 [==============================] - 0s 743us/step - loss: 0.8873
Epoch 3/20
153/153 [==============================] - 0s 769us/step - loss: 0.7236
Epoch 4/20
153/153 [==============================] - 0s 789us/step - loss: 0.6683
Epoch 5/20
153/153 [==============================] - 0s 750us/step - loss: 0.6575
Epoch 6/20
153/153 [==============================] - 0s 789us/step - loss: 0.6507
Epoch 7/20
153/153 [==============================] - 0s 821us/step - loss: 0.6454
Epoch 8/20
153/153 [==============================] - 0s 808us/step - loss: 0.6399
Epoch 9/20
153/153 [==============================] - 0s 776us/step - loss: 0.6369
Epoch 10/20
153/153 [==============================] - 0s 795us/step - loss: 0.6337
Epoch 11/20
153/153 [==============================] - 0s 782us/step - loss: 0.6270
Epoch 12/20
153/153 [==============================] - 0s 808us/step - loss: 0.6261
Epoch 13/20
153/153 [==============================] - 0s 769us/step - loss: 0.6236
Epoch 14/20
153/153 [==============================] - 0s 802us/step - loss: 0.6207
Epoch 15/20
153/153 [==============================] - 0s 769us/step - loss: 0.6171
Epoch 16/20
153/153 [==============================] - 0s 776us/step - loss: 0.6147
Epoch 17/20
153/153 [==============================] - 0s 815us/step - loss: 0.6130
Epoch 18/20
153/153 [==============================] - 0s 789us/step - loss: 0.6090
Epoch 19/20
153/153 [==============================] - 0s 776us/step - loss: 0.6096
Epoch 20/20
153/153 [==============================] - 0s 795us/step - loss: 0.6076
###################################################################### Accuracy: 76.09749607836498
Epoch 1/20
153/153 [==============================] - 0s 769us/step - loss: 0.9765
Epoch 2/20
153/153 [==============================] - 0s 743us/step - loss: 0.8155
Epoch 3/20
153/153 [==============================] - 0s 750us/step - loss: 0.6769
Epoch 4/20
153/153 [==============================] - 0s 763us/step - loss: 0.6456
Epoch 5/20
153/153 [==============================] - 0s 769us/step - loss: 0.6384
Epoch 6/20
153/153 [==============================] - 0s 782us/step - loss: 0.6333
Epoch 7/20
153/153 [==============================] - 0s 808us/step - loss: 0.6296
Epoch 8/20
153/153 [==============================] - 0s 782us/step - loss: 0.6260
Epoch 9/20
153/153 [==============================] - 0s 737us/step - loss: 0.6236
Epoch 10/20
153/153 [==============================] - 0s 750us/step - loss: 0.6199
Epoch 11/20
153/153 [==============================] - 0s 756us/step - loss: 0.6169
Epoch 12/20
153/153 [==============================] - 0s 776us/step - loss: 0.6129
Epoch 13/20
153/153 [==============================] - 0s 756us/step - loss: 0.6097
Epoch 14/20
153/153 [==============================] - 0s 730us/step - loss: 0.6081
Epoch 15/20
153/153 [==============================] - 0s 763us/step - loss: 0.6029
Epoch 16/20
153/153 [==============================] - 0s 763us/step - loss: 0.5999
Epoch 17/20
153/153 [==============================] - 0s 802us/step - loss: 0.5981
Epoch 18/20
153/153 [==============================] - 0s 769us/step - loss: 0.5948
Epoch 19/20
153/153 [==============================] - 0s 769us/step - loss: 0.5929
Epoch 20/20
153/153 [==============================] - 0s 763us/step - loss: 0.5903
###################################################################### Accuracy: 71.71014889147312
Epoch 1/50
152/152 [==============================] - 0s 785us/step - loss: 1.0107
Epoch 2/50
152/152 [==============================] - 0s 720us/step - loss: 0.9223
Epoch 3/50
152/152 [==============================] - 0s 735us/step - loss: 0.7675
Epoch 4/50
152/152 [==============================] - 0s 709us/step - loss: 0.6709
Epoch 5/50
152/152 [==============================] - 0s 728us/step - loss: 0.6447
Epoch 6/50
152/152 [==============================] - 0s 735us/step - loss: 0.6350
Epoch 7/50
152/152 [==============================] - 0s 735us/step - loss: 0.6280
Epoch 8/50
152/152 [==============================] - 0s 761us/step - loss: 0.6206
Epoch 9/50
152/152 [==============================] - 0s 741us/step - loss: 0.6158
Epoch 10/50
152/152 [==============================] - 0s 761us/step - loss: 0.6081
Epoch 11/50
152/152 [==============================] - 0s 755us/step - loss: 0.6050
Epoch 12/50
152/152 [==============================] - 0s 735us/step - loss: 0.5994
Epoch 13/50
152/152 [==============================] - 0s 748us/step - loss: 0.5953
Epoch 14/50
152/152 [==============================] - 0s 735us/step - loss: 0.5900
Epoch 15/50
152/152 [==============================] - 0s 741us/step - loss: 0.5894
Epoch 16/50
152/152 [==============================] - 0s 768us/step - loss: 0.5859
Epoch 17/50
152/152 [==============================] - 0s 774us/step - loss: 0.5837
Epoch 18/50
152/152 [==============================] - 0s 768us/step - loss: 0.5825 0s - loss: 0.585
Epoch 19/50
152/152 [==============================] - 0s 761us/step - loss: 0.5799
Epoch 20/50
152/152 [==============================] - 0s 715us/step - loss: 0.5787
Epoch 21/50
152/152 [==============================] - 0s 761us/step - loss: 0.5770
Epoch 22/50
152/152 [==============================] - 0s 728us/step - loss: 0.5752
Epoch 23/50
152/152 [==============================] - 0s 781us/step - loss: 0.5712
Epoch 24/50
152/152 [==============================] - 0s 755us/step - loss: 0.5731
Epoch 25/50
152/152 [==============================] - 0s 715us/step - loss: 0.5696
Epoch 26/50
152/152 [==============================] - 0s 748us/step - loss: 0.5690
Epoch 27/50
152/152 [==============================] - 0s 755us/step - loss: 0.5673
Epoch 28/50
152/152 [==============================] - 0s 748us/step - loss: 0.5674
Epoch 29/50
152/152 [==============================] - 0s 755us/step - loss: 0.5649
Epoch 30/50
152/152 [==============================] - 0s 748us/step - loss: 0.5657
Epoch 31/50
152/152 [==============================] - 0s 761us/step - loss: 0.5649
Epoch 32/50
152/152 [==============================] - 0s 774us/step - loss: 0.5636
Epoch 33/50
152/152 [==============================] - 0s 755us/step - loss: 0.5630
Epoch 34/50
152/152 [==============================] - 0s 722us/step - loss: 0.5618
Epoch 35/50
152/152 [==============================] - 0s 768us/step - loss: 0.5605
Epoch 36/50
152/152 [==============================] - 0s 787us/step - loss: 0.5594
Epoch 37/50
152/152 [==============================] - 0s 735us/step - loss: 0.5575
Epoch 38/50
152/152 [==============================] - 0s 761us/step - loss: 0.5581
Epoch 39/50
152/152 [==============================] - 0s 728us/step - loss: 0.5571
Epoch 40/50
152/152 [==============================] - 0s 735us/step - loss: 0.5544
Epoch 41/50
152/152 [==============================] - 0s 794us/step - loss: 0.5549
Epoch 42/50
152/152 [==============================] - 0s 761us/step - loss: 0.5543
Epoch 43/50
152/152 [==============================] - 0s 741us/step - loss: 0.5524
Epoch 44/50
152/152 [==============================] - 0s 781us/step - loss: 0.5521
Epoch 45/50
152/152 [==============================] - 0s 728us/step - loss: 0.5491
Epoch 46/50
152/152 [==============================] - 0s 761us/step - loss: 0.5530
Epoch 47/50
152/152 [==============================] - 0s 748us/step - loss: 0.5488
Epoch 48/50
152/152 [==============================] - 0s 735us/step - loss: 0.5497
Epoch 49/50
152/152 [==============================] - 0s 768us/step - loss: 0.5480
Epoch 50/50
152/152 [==============================] - 0s 768us/step - loss: 0.5480
###################################################################### Accuracy: 73.70897025714122
Epoch 1/50
153/153 [==============================] - 0s 789us/step - loss: 0.9694
Epoch 2/50
153/153 [==============================] - 0s 782us/step - loss: 0.8435
Epoch 3/50
153/153 [==============================] - 0s 782us/step - loss: 0.7017
Epoch 4/50
153/153 [==============================] - 0s 756us/step - loss: 0.6506
Epoch 5/50
153/153 [==============================] - 0s 776us/step - loss: 0.6388
Epoch 6/50
153/153 [==============================] - 0s 776us/step - loss: 0.6317
Epoch 7/50
153/153 [==============================] - 0s 782us/step - loss: 0.6272
Epoch 8/50
153/153 [==============================] - 0s 789us/step - loss: 0.6197
Epoch 9/50
153/153 [==============================] - 0s 750us/step - loss: 0.6173
Epoch 10/50
153/153 [==============================] - 0s 776us/step - loss: 0.6125
Epoch 11/50
153/153 [==============================] - 0s 821us/step - loss: 0.6062
Epoch 12/50
153/153 [==============================] - 0s 750us/step - loss: 0.6026
Epoch 13/50
153/153 [==============================] - 0s 756us/step - loss: 0.5995
Epoch 14/50
153/153 [==============================] - 0s 776us/step - loss: 0.5962
Epoch 15/50
153/153 [==============================] - 0s 776us/step - loss: 0.5935
Epoch 16/50
153/153 [==============================] - 0s 795us/step - loss: 0.5906
Epoch 17/50
153/153 [==============================] - 0s 795us/step - loss: 0.5878
Epoch 18/50
153/153 [==============================] - 0s 795us/step - loss: 0.5865
Epoch 19/50
153/153 [==============================] - 0s 763us/step - loss: 0.5835
Epoch 20/50
153/153 [==============================] - 0s 776us/step - loss: 0.5801
Epoch 21/50
153/153 [==============================] - 0s 802us/step - loss: 0.5824
Epoch 22/50
153/153 [==============================] - 0s 743us/step - loss: 0.5797
Epoch 23/50
153/153 [==============================] - 0s 756us/step - loss: 0.5793
Epoch 24/50
153/153 [==============================] - 0s 756us/step - loss: 0.5778
Epoch 25/50
153/153 [==============================] - 0s 763us/step - loss: 0.5782
Epoch 26/50
153/153 [==============================] - 0s 743us/step - loss: 0.5752
Epoch 27/50
153/153 [==============================] - 0s 795us/step - loss: 0.5745
Epoch 28/50
153/153 [==============================] - 0s 776us/step - loss: 0.5743
Epoch 29/50
153/153 [==============================] - 0s 750us/step - loss: 0.5719
Epoch 30/50
153/153 [==============================] - 0s 756us/step - loss: 0.5728
Epoch 31/50
153/153 [==============================] - 0s 776us/step - loss: 0.5693
Epoch 32/50
153/153 [==============================] - 0s 802us/step - loss: 0.5719
Epoch 33/50
153/153 [==============================] - 0s 782us/step - loss: 0.5689
Epoch 34/50
153/153 [==============================] - 0s 743us/step - loss: 0.5693
Epoch 35/50
153/153 [==============================] - 0s 782us/step - loss: 0.5669
Epoch 36/50
153/153 [==============================] - 0s 750us/step - loss: 0.5683
Epoch 37/50
153/153 [==============================] - 0s 763us/step - loss: 0.5658
Epoch 38/50
153/153 [==============================] - 0s 743us/step - loss: 0.5670
Epoch 39/50
153/153 [==============================] - 0s 769us/step - loss: 0.5656
Epoch 40/50
153/153 [==============================] - 0s 789us/step - loss: 0.5635
Epoch 41/50
153/153 [==============================] - 0s 750us/step - loss: 0.5658
Epoch 42/50
153/153 [==============================] - 0s 763us/step - loss: 0.5644
Epoch 43/50
153/153 [==============================] - 0s 795us/step - loss: 0.5646
Epoch 44/50
153/153 [==============================] - 0s 789us/step - loss: 0.5632
Epoch 45/50
153/153 [==============================] - 0s 802us/step - loss: 0.5607
Epoch 46/50
153/153 [==============================] - 0s 789us/step - loss: 0.5617
Epoch 47/50
153/153 [==============================] - 0s 769us/step - loss: 0.5608
Epoch 48/50
153/153 [==============================] - 0s 782us/step - loss: 0.5583
Epoch 49/50
153/153 [==============================] - 0s 776us/step - loss: 0.5600
Epoch 50/50
153/153 [==============================] - 0s 789us/step - loss: 0.5574
###################################################################### Accuracy: 74.89613452258146
Epoch 1/50
153/153 [==============================] - 0s 763us/step - loss: 0.9444
Epoch 2/50
153/153 [==============================] - 0s 789us/step - loss: 0.8105
Epoch 3/50
153/153 [==============================] - 0s 776us/step - loss: 0.6786
Epoch 4/50
153/153 [==============================] - 0s 756us/step - loss: 0.6320
Epoch 5/50
153/153 [==============================] - 0s 776us/step - loss: 0.6218
Epoch 6/50
153/153 [==============================] - 0s 776us/step - loss: 0.6170
Epoch 7/50
153/153 [==============================] - 0s 776us/step - loss: 0.6118
Epoch 8/50
153/153 [==============================] - 0s 750us/step - loss: 0.6077
Epoch 9/50
153/153 [==============================] - 0s 750us/step - loss: 0.6041
Epoch 10/50
153/153 [==============================] - 0s 789us/step - loss: 0.6012
Epoch 11/50
153/153 [==============================] - 0s 782us/step - loss: 0.5977
Epoch 12/50
153/153 [==============================] - 0s 769us/step - loss: 0.5945
Epoch 13/50
153/153 [==============================] - 0s 782us/step - loss: 0.5911
Epoch 14/50
153/153 [==============================] - 0s 763us/step - loss: 0.5894
Epoch 15/50
153/153 [==============================] - 0s 763us/step - loss: 0.5860
Epoch 16/50
153/153 [==============================] - 0s 776us/step - loss: 0.5847
Epoch 17/50
153/153 [==============================] - 0s 769us/step - loss: 0.5824
Epoch 18/50
153/153 [==============================] - 0s 802us/step - loss: 0.5806
Epoch 19/50
153/153 [==============================] - 0s 789us/step - loss: 0.5777
Epoch 20/50
153/153 [==============================] - 0s 763us/step - loss: 0.5763
Epoch 21/50
153/153 [==============================] - 0s 776us/step - loss: 0.5757
Epoch 22/50
153/153 [==============================] - 0s 776us/step - loss: 0.5740
Epoch 23/50
153/153 [==============================] - 0s 782us/step - loss: 0.5743
Epoch 24/50
153/153 [==============================] - 0s 737us/step - loss: 0.5724
Epoch 25/50
153/153 [==============================] - 0s 763us/step - loss: 0.5710
Epoch 26/50
153/153 [==============================] - 0s 782us/step - loss: 0.5704
Epoch 27/50
153/153 [==============================] - 0s 782us/step - loss: 0.5690
Epoch 28/50
153/153 [==============================] - 0s 769us/step - loss: 0.5676
Epoch 29/50
153/153 [==============================] - 0s 808us/step - loss: 0.5663
Epoch 30/50
153/153 [==============================] - 0s 763us/step - loss: 0.5668
Epoch 31/50
153/153 [==============================] - 0s 802us/step - loss: 0.5646
Epoch 32/50
153/153 [==============================] - 0s 769us/step - loss: 0.5654
Epoch 33/50
153/153 [==============================] - 0s 743us/step - loss: 0.5645
Epoch 34/50
153/153 [==============================] - 0s 795us/step - loss: 0.5635
Epoch 35/50
153/153 [==============================] - 0s 756us/step - loss: 0.5639
Epoch 36/50
153/153 [==============================] - 0s 769us/step - loss: 0.5626
Epoch 37/50
153/153 [==============================] - 0s 756us/step - loss: 0.5616
Epoch 38/50
153/153 [==============================] - 0s 769us/step - loss: 0.5567
Epoch 39/50
153/153 [==============================] - 0s 750us/step - loss: 0.5613
Epoch 40/50
153/153 [==============================] - 0s 763us/step - loss: 0.5604
Epoch 41/50
153/153 [==============================] - 0s 795us/step - loss: 0.5591
Epoch 42/50
153/153 [==============================] - 0s 750us/step - loss: 0.5584
Epoch 43/50
153/153 [==============================] - 0s 763us/step - loss: 0.5594
Epoch 44/50
153/153 [==============================] - 0s 750us/step - loss: 0.5571
Epoch 45/50
153/153 [==============================] - 0s 782us/step - loss: 0.5571
Epoch 46/50
153/153 [==============================] - 0s 808us/step - loss: 0.5574
Epoch 47/50
153/153 [==============================] - 0s 763us/step - loss: 0.5565
Epoch 48/50
153/153 [==============================] - 0s 789us/step - loss: 0.5565
Epoch 49/50
153/153 [==============================] - 0s 776us/step - loss: 0.5553
Epoch 50/50
153/153 [==============================] - 0s 750us/step - loss: 0.5536
###################################################################### Accuracy: 88.98484974526673
Epoch 1/50
153/153 [==============================] - 0s 789us/step - loss: 1.0003
Epoch 2/50
153/153 [==============================] - 0s 782us/step - loss: 0.8596
Epoch 3/50
153/153 [==============================] - 0s 756us/step - loss: 0.7057
Epoch 4/50
153/153 [==============================] - 0s 782us/step - loss: 0.6594
Epoch 5/50
153/153 [==============================] - 0s 756us/step - loss: 0.6468
Epoch 6/50
153/153 [==============================] - 0s 782us/step - loss: 0.6409
Epoch 7/50
153/153 [==============================] - 0s 821us/step - loss: 0.6364
Epoch 8/50
153/153 [==============================] - 0s 776us/step - loss: 0.6317
Epoch 9/50
153/153 [==============================] - 0s 750us/step - loss: 0.6283
Epoch 10/50
153/153 [==============================] - 0s 789us/step - loss: 0.6221
Epoch 11/50
153/153 [==============================] - 0s 756us/step - loss: 0.6184
Epoch 12/50
153/153 [==============================] - 0s 769us/step - loss: 0.6173
Epoch 13/50
153/153 [==============================] - 0s 782us/step - loss: 0.6115
Epoch 14/50
153/153 [==============================] - 0s 795us/step - loss: 0.6062
Epoch 15/50
153/153 [==============================] - 0s 782us/step - loss: 0.6098
Epoch 16/50
153/153 [==============================] - 0s 743us/step - loss: 0.6063
Epoch 17/50
153/153 [==============================] - 0s 750us/step - loss: 0.6029
Epoch 18/50
153/153 [==============================] - 0s 756us/step - loss: 0.6024
Epoch 19/50
153/153 [==============================] - 0s 802us/step - loss: 0.6005
Epoch 20/50
153/153 [==============================] - 0s 789us/step - loss: 0.5999
Epoch 21/50
153/153 [==============================] - 0s 776us/step - loss: 0.5974
Epoch 22/50
153/153 [==============================] - 0s 776us/step - loss: 0.5946
Epoch 23/50
153/153 [==============================] - 0s 782us/step - loss: 0.5946
Epoch 24/50
153/153 [==============================] - 0s 743us/step - loss: 0.5918
Epoch 25/50
153/153 [==============================] - 0s 815us/step - loss: 0.5943
Epoch 26/50
153/153 [==============================] - 0s 789us/step - loss: 0.5904
Epoch 27/50
153/153 [==============================] - 0s 756us/step - loss: 0.5932
Epoch 28/50
153/153 [==============================] - 0s 776us/step - loss: 0.5884
Epoch 29/50
153/153 [==============================] - 0s 750us/step - loss: 0.5901
Epoch 30/50
153/153 [==============================] - 0s 776us/step - loss: 0.5874
Epoch 31/50
153/153 [==============================] - 0s 756us/step - loss: 0.5883
Epoch 32/50
153/153 [==============================] - 0s 737us/step - loss: 0.5860
Epoch 33/50
153/153 [==============================] - 0s 795us/step - loss: 0.5853
Epoch 34/50
153/153 [==============================] - 0s 763us/step - loss: 0.5851
Epoch 35/50
153/153 [==============================] - 0s 750us/step - loss: 0.5850
Epoch 36/50
153/153 [==============================] - 0s 776us/step - loss: 0.5841
Epoch 37/50
153/153 [==============================] - 0s 789us/step - loss: 0.5824
Epoch 38/50
153/153 [==============================] - 0s 756us/step - loss: 0.5816
Epoch 39/50
153/153 [==============================] - 0s 776us/step - loss: 0.5808
Epoch 40/50
153/153 [==============================] - 0s 756us/step - loss: 0.5811
Epoch 41/50
153/153 [==============================] - 0s 776us/step - loss: 0.5797
Epoch 42/50
153/153 [==============================] - 0s 789us/step - loss: 0.5777
Epoch 43/50
153/153 [==============================] - 0s 965us/step - loss: 0.5793
Epoch 44/50
153/153 [==============================] - 0s 919us/step - loss: 0.5785
Epoch 45/50
153/153 [==============================] - 0s 756us/step - loss: 0.5764
Epoch 46/50
153/153 [==============================] - 0s 815us/step - loss: 0.5745
Epoch 47/50
153/153 [==============================] - 0s 815us/step - loss: 0.5773
Epoch 48/50
153/153 [==============================] - 0s 763us/step - loss: 0.5765
Epoch 49/50
153/153 [==============================] - 0s 769us/step - loss: 0.5755
Epoch 50/50
153/153 [==============================] - 0s 782us/step - loss: 0.5737
###################################################################### Accuracy: 71.26367804839268
Epoch 1/50
153/153 [==============================] - 0s 788us/step - loss: 0.9808
Epoch 2/50
153/153 [==============================] - 0s 802us/step - loss: 0.8519
Epoch 3/50
153/153 [==============================] - 0s 789us/step - loss: 0.7003
Epoch 4/50
153/153 [==============================] - 0s 789us/step - loss: 0.6494
Epoch 5/50
153/153 [==============================] - 0s 808us/step - loss: 0.6354
Epoch 6/50
153/153 [==============================] - 0s 776us/step - loss: 0.6282
Epoch 7/50
153/153 [==============================] - 0s 782us/step - loss: 0.6224
Epoch 8/50
153/153 [==============================] - 0s 802us/step - loss: 0.6173
Epoch 9/50
153/153 [==============================] - 0s 795us/step - loss: 0.6125
Epoch 10/50
153/153 [==============================] - 0s 802us/step - loss: 0.6085
Epoch 11/50
153/153 [==============================] - 0s 789us/step - loss: 0.6049
Epoch 12/50
153/153 [==============================] - 0s 808us/step - loss: 0.6012
Epoch 13/50
153/153 [==============================] - 0s 789us/step - loss: 0.5990
Epoch 14/50
153/153 [==============================] - 0s 808us/step - loss: 0.5942
Epoch 15/50
153/153 [==============================] - 0s 802us/step - loss: 0.5895
Epoch 16/50
153/153 [==============================] - 0s 802us/step - loss: 0.5912
Epoch 17/50
153/153 [==============================] - 0s 815us/step - loss: 0.5884
Epoch 18/50
153/153 [==============================] - 0s 815us/step - loss: 0.5858
Epoch 19/50
153/153 [==============================] - 0s 795us/step - loss: 0.5835
Epoch 20/50
153/153 [==============================] - 0s 795us/step - loss: 0.5829
Epoch 21/50
153/153 [==============================] - 0s 769us/step - loss: 0.5801
Epoch 22/50
153/153 [==============================] - 0s 802us/step - loss: 0.5785
Epoch 23/50
153/153 [==============================] - 0s 815us/step - loss: 0.5784
Epoch 24/50
153/153 [==============================] - 0s 802us/step - loss: 0.5726
Epoch 25/50
153/153 [==============================] - 0s 769us/step - loss: 0.5765
Epoch 26/50
153/153 [==============================] - 0s 782us/step - loss: 0.5759
Epoch 27/50
153/153 [==============================] - 0s 769us/step - loss: 0.5749
Epoch 28/50
153/153 [==============================] - 0s 789us/step - loss: 0.5732
Epoch 29/50
153/153 [==============================] - 0s 782us/step - loss: 0.5732
Epoch 30/50
153/153 [==============================] - 0s 750us/step - loss: 0.5726
Epoch 31/50
153/153 [==============================] - 0s 789us/step - loss: 0.5701
Epoch 32/50
153/153 [==============================] - 0s 782us/step - loss: 0.5691
Epoch 33/50
153/153 [==============================] - 0s 789us/step - loss: 0.5708
Epoch 34/50
153/153 [==============================] - 0s 763us/step - loss: 0.5684
Epoch 35/50
153/153 [==============================] - 0s 769us/step - loss: 0.5672
Epoch 36/50
153/153 [==============================] - 0s 769us/step - loss: 0.5668
Epoch 37/50
153/153 [==============================] - 0s 795us/step - loss: 0.5681
Epoch 38/50
153/153 [==============================] - 0s 834us/step - loss: 0.5668
Epoch 39/50
153/153 [==============================] - 0s 750us/step - loss: 0.5667
Epoch 40/50
153/153 [==============================] - 0s 769us/step - loss: 0.5632
Epoch 41/50
153/153 [==============================] - 0s 815us/step - loss: 0.5666
Epoch 42/50
153/153 [==============================] - 0s 750us/step - loss: 0.5664
Epoch 43/50
153/153 [==============================] - 0s 802us/step - loss: 0.5650
Epoch 44/50
153/153 [==============================] - 0s 776us/step - loss: 0.5646
Epoch 45/50
153/153 [==============================] - 0s 756us/step - loss: 0.5644
Epoch 46/50
153/153 [==============================] - 0s 795us/step - loss: 0.5630
Epoch 47/50
153/153 [==============================] - 0s 802us/step - loss: 0.5618
Epoch 48/50
153/153 [==============================] - 0s 802us/step - loss: 0.5621
Epoch 49/50
153/153 [==============================] - 0s 782us/step - loss: 0.5615
Epoch 50/50
153/153 [==============================] - 0s 737us/step - loss: 0.5609
###################################################################### Accuracy: 73.58033598494004
Epoch 1/100
152/152 [==============================] - 0s 840us/step - loss: 1.0014
Epoch 2/100
152/152 [==============================] - 0s 735us/step - loss: 0.8809
Epoch 3/100
152/152 [==============================] - 0s 715us/step - loss: 0.7496
Epoch 4/100
152/152 [==============================] - 0s 741us/step - loss: 0.6749
Epoch 5/100
152/152 [==============================] - 0s 741us/step - loss: 0.6387
Epoch 6/100
152/152 [==============================] - 0s 715us/step - loss: 0.6239
Epoch 7/100
152/152 [==============================] - 0s 722us/step - loss: 0.6144
Epoch 8/100
152/152 [==============================] - 0s 715us/step - loss: 0.6077
Epoch 9/100
152/152 [==============================] - 0s 715us/step - loss: 0.6027
Epoch 10/100
152/152 [==============================] - 0s 696us/step - loss: 0.5966
Epoch 11/100
152/152 [==============================] - 0s 715us/step - loss: 0.5908
Epoch 12/100
152/152 [==============================] - 0s 741us/step - loss: 0.5893
Epoch 13/100
152/152 [==============================] - 0s 728us/step - loss: 0.5857
Epoch 14/100
152/152 [==============================] - 0s 702us/step - loss: 0.5809
Epoch 15/100
152/152 [==============================] - 0s 728us/step - loss: 0.5807
Epoch 16/100
152/152 [==============================] - 0s 741us/step - loss: 0.5781
Epoch 17/100
152/152 [==============================] - 0s 735us/step - loss: 0.5763
Epoch 18/100
152/152 [==============================] - 0s 696us/step - loss: 0.5752
Epoch 19/100
152/152 [==============================] - 0s 715us/step - loss: 0.5720
Epoch 20/100
152/152 [==============================] - 0s 722us/step - loss: 0.5726
Epoch 21/100
152/152 [==============================] - 0s 728us/step - loss: 0.5684
Epoch 22/100
152/152 [==============================] - 0s 715us/step - loss: 0.5702
Epoch 23/100
152/152 [==============================] - 0s 735us/step - loss: 0.5682
Epoch 24/100
152/152 [==============================] - 0s 709us/step - loss: 0.5665
Epoch 25/100
152/152 [==============================] - 0s 696us/step - loss: 0.5623
Epoch 26/100
152/152 [==============================] - 0s 735us/step - loss: 0.5649
Epoch 27/100
152/152 [==============================] - 0s 682us/step - loss: 0.5637
Epoch 28/100
152/152 [==============================] - 0s 709us/step - loss: 0.5630
Epoch 29/100
152/152 [==============================] - 0s 702us/step - loss: 0.5605
Epoch 30/100
152/152 [==============================] - 0s 689us/step - loss: 0.5593
Epoch 31/100
152/152 [==============================] - 0s 715us/step - loss: 0.5589
Epoch 32/100
152/152 [==============================] - 0s 715us/step - loss: 0.5585
Epoch 33/100
152/152 [==============================] - 0s 748us/step - loss: 0.5569
Epoch 34/100
152/152 [==============================] - 0s 676us/step - loss: 0.5571
Epoch 35/100
152/152 [==============================] - 0s 650us/step - loss: 0.5580
Epoch 36/100
152/152 [==============================] - 0s 656us/step - loss: 0.5562
Epoch 37/100
152/152 [==============================] - 0s 728us/step - loss: 0.5538
Epoch 38/100
152/152 [==============================] - 0s 722us/step - loss: 0.5545
Epoch 39/100
152/152 [==============================] - 0s 728us/step - loss: 0.5531
Epoch 40/100
152/152 [==============================] - 0s 741us/step - loss: 0.5535
Epoch 41/100
152/152 [==============================] - 0s 715us/step - loss: 0.5530
Epoch 42/100
152/152 [==============================] - 0s 709us/step - loss: 0.5523
Epoch 43/100
152/152 [==============================] - 0s 807us/step - loss: 0.5527
Epoch 44/100
152/152 [==============================] - 0s 853us/step - loss: 0.5513
Epoch 45/100
152/152 [==============================] - 0s 781us/step - loss: 0.5502
Epoch 46/100
152/152 [==============================] - 0s 741us/step - loss: 0.5494
Epoch 47/100
152/152 [==============================] - 0s 768us/step - loss: 0.5460
Epoch 48/100
152/152 [==============================] - 0s 807us/step - loss: 0.5482
Epoch 49/100
152/152 [==============================] - 0s 833us/step - loss: 0.5465
Epoch 50/100
152/152 [==============================] - 0s 827us/step - loss: 0.5469
Epoch 51/100
152/152 [==============================] - 0s 833us/step - loss: 0.5484
Epoch 52/100
152/152 [==============================] - 0s 787us/step - loss: 0.5473
Epoch 53/100
152/152 [==============================] - 0s 735us/step - loss: 0.5477
Epoch 54/100
152/152 [==============================] - 0s 833us/step - loss: 0.5475
Epoch 55/100
152/152 [==============================] - 0s 899us/step - loss: 0.5430
Epoch 56/100
152/152 [==============================] - 0s 800us/step - loss: 0.5448
Epoch 57/100
152/152 [==============================] - 0s 820us/step - loss: 0.5437
Epoch 58/100
152/152 [==============================] - 0s 853us/step - loss: 0.5452
Epoch 59/100
152/152 [==============================] - 0s 801us/step - loss: 0.5449
Epoch 60/100
152/152 [==============================] - 0s 787us/step - loss: 0.5424
Epoch 61/100
152/152 [==============================] - 0s 768us/step - loss: 0.5445
Epoch 62/100
152/152 [==============================] - 0s 781us/step - loss: 0.5429
Epoch 63/100
152/152 [==============================] - 0s 755us/step - loss: 0.5413
Epoch 64/100
152/152 [==============================] - 0s 794us/step - loss: 0.5430
Epoch 65/100
152/152 [==============================] - 0s 814us/step - loss: 0.5397
Epoch 66/100
152/152 [==============================] - 0s 794us/step - loss: 0.5393
Epoch 67/100
152/152 [==============================] - 0s 781us/step - loss: 0.5375
Epoch 68/100
152/152 [==============================] - 0s 807us/step - loss: 0.5410
Epoch 69/100
152/152 [==============================] - 0s 781us/step - loss: 0.5412
Epoch 70/100
152/152 [==============================] - 0s 768us/step - loss: 0.5385
Epoch 71/100
152/152 [==============================] - 0s 800us/step - loss: 0.5386
Epoch 72/100
152/152 [==============================] - 0s 787us/step - loss: 0.5392
Epoch 73/100
152/152 [==============================] - 0s 781us/step - loss: 0.5390
Epoch 74/100
152/152 [==============================] - 0s 800us/step - loss: 0.5385
Epoch 75/100
152/152 [==============================] - 0s 860us/step - loss: 0.5375
Epoch 76/100
152/152 [==============================] - 0s 1ms/step - loss: 0.5375
Epoch 77/100
152/152 [==============================] - 0s 958us/step - loss: 0.5376
Epoch 78/100
152/152 [==============================] - 0s 853us/step - loss: 0.5359
Epoch 79/100
152/152 [==============================] - 0s 938us/step - loss: 0.5348
Epoch 80/100
152/152 [==============================] - 0s 991us/step - loss: 0.5366
Epoch 81/100
152/152 [==============================] - 0s 938us/step - loss: 0.5375
Epoch 82/100
152/152 [==============================] - 0s 925us/step - loss: 0.5362
Epoch 83/100
152/152 [==============================] - 0s 971us/step - loss: 0.5333
Epoch 84/100
152/152 [==============================] - ETA: 0s - loss: 0.528 - 0s 892us/step - loss: 0.5357
Epoch 85/100
152/152 [==============================] - 0s 860us/step - loss: 0.5340
Epoch 86/100
152/152 [==============================] - 0s 807us/step - loss: 0.5329
Epoch 87/100
152/152 [==============================] - 0s 846us/step - loss: 0.5333
Epoch 88/100
152/152 [==============================] - 0s 794us/step - loss: 0.5346
Epoch 89/100
152/152 [==============================] - 0s 781us/step - loss: 0.5309
Epoch 90/100
152/152 [==============================] - 0s 807us/step - loss: 0.5321
Epoch 91/100
152/152 [==============================] - 0s 787us/step - loss: 0.5328
Epoch 92/100
152/152 [==============================] - 0s 794us/step - loss: 0.5285
Epoch 93/100
152/152 [==============================] - 0s 814us/step - loss: 0.5300
Epoch 94/100
152/152 [==============================] - 0s 820us/step - loss: 0.5315
Epoch 95/100
152/152 [==============================] - 0s 840us/step - loss: 0.5310
Epoch 96/100
152/152 [==============================] - 0s 787us/step - loss: 0.5305
Epoch 97/100
152/152 [==============================] - 0s 814us/step - loss: 0.5292
Epoch 98/100
152/152 [==============================] - 0s 800us/step - loss: 0.5266
Epoch 99/100
152/152 [==============================] - 0s 735us/step - loss: 0.5274
Epoch 100/100
152/152 [==============================] - 0s 794us/step - loss: 0.5304
###################################################################### Accuracy: 73.38728198034748
Epoch 1/100
153/153 [==============================] - 0s 850us/step - loss: 0.9706
Epoch 2/100
153/153 [==============================] - 0s 893us/step - loss: 0.8478
Epoch 3/100
153/153 [==============================] - 0s 802us/step - loss: 0.7067
Epoch 4/100
153/153 [==============================] - 0s 815us/step - loss: 0.6588
Epoch 5/100
153/153 [==============================] - 0s 860us/step - loss: 0.6487
Epoch 6/100
153/153 [==============================] - 0s 854us/step - loss: 0.6446
Epoch 7/100
153/153 [==============================] - 0s 854us/step - loss: 0.6409
Epoch 8/100
153/153 [==============================] - 0s 1ms/step - loss: 0.6385
Epoch 9/100
153/153 [==============================] - 0s 1ms/step - loss: 0.6325
Epoch 10/100
153/153 [==============================] - 0s 939us/step - loss: 0.6296
Epoch 11/100
153/153 [==============================] - 0s 841us/step - loss: 0.6256
Epoch 12/100
153/153 [==============================] - 0s 919us/step - loss: 0.6205
Epoch 13/100
153/153 [==============================] - 0s 978us/step - loss: 0.6187
Epoch 14/100
153/153 [==============================] - 0s 978us/step - loss: 0.6150
Epoch 15/100
153/153 [==============================] - 0s 900us/step - loss: 0.6111
Epoch 16/100
153/153 [==============================] - 0s 847us/step - loss: 0.6085
Epoch 17/100
153/153 [==============================] - 0s 815us/step - loss: 0.6065
Epoch 18/100
153/153 [==============================] - 0s 939us/step - loss: 0.6039
Epoch 19/100
153/153 [==============================] - 0s 945us/step - loss: 0.6021
Epoch 20/100
153/153 [==============================] - 0s 952us/step - loss: 0.5978
Epoch 21/100
153/153 [==============================] - 0s 834us/step - loss: 0.5951
Epoch 22/100
153/153 [==============================] - 0s 984us/step - loss: 0.5923
Epoch 23/100
153/153 [==============================] - 0s 945us/step - loss: 0.5907
Epoch 24/100
153/153 [==============================] - 0s 880us/step - loss: 0.5874
Epoch 25/100
153/153 [==============================] - 0s 893us/step - loss: 0.5876
Epoch 26/100
153/153 [==============================] - 0s 906us/step - loss: 0.5847
Epoch 27/100
153/153 [==============================] - 0s 893us/step - loss: 0.5851
Epoch 28/100
153/153 [==============================] - 0s 900us/step - loss: 0.5815
Epoch 29/100
153/153 [==============================] - 0s 860us/step - loss: 0.5806
Epoch 30/100
153/153 [==============================] - 0s 867us/step - loss: 0.5786
Epoch 31/100
153/153 [==============================] - 0s 808us/step - loss: 0.5759
Epoch 32/100
153/153 [==============================] - 0s 893us/step - loss: 0.5786
Epoch 33/100
153/153 [==============================] - 0s 913us/step - loss: 0.5774
Epoch 34/100
153/153 [==============================] - ETA: 0s - loss: 0.567 - 0s 873us/step - loss: 0.5766
Epoch 35/100
153/153 [==============================] - 0s 919us/step - loss: 0.5754
Epoch 36/100
153/153 [==============================] - 0s 893us/step - loss: 0.5741
Epoch 37/100
153/153 [==============================] - 0s 926us/step - loss: 0.5742
Epoch 38/100
153/153 [==============================] - 0s 913us/step - loss: 0.5737
Epoch 39/100
153/153 [==============================] - 0s 887us/step - loss: 0.5726
Epoch 40/100
153/153 [==============================] - 0s 965us/step - loss: 0.5718
Epoch 41/100
153/153 [==============================] - 0s 834us/step - loss: 0.5705
Epoch 42/100
153/153 [==============================] - 0s 847us/step - loss: 0.5694
Epoch 43/100
153/153 [==============================] - 0s 926us/step - loss: 0.5705
Epoch 44/100
153/153 [==============================] - 0s 1ms/step - loss: 0.5690
Epoch 45/100
153/153 [==============================] - 0s 893us/step - loss: 0.5696
Epoch 46/100
153/153 [==============================] - 0s 808us/step - loss: 0.5691
Epoch 47/100
153/153 [==============================] - 0s 958us/step - loss: 0.5673
Epoch 48/100
153/153 [==============================] - 0s 867us/step - loss: 0.5669
Epoch 49/100
153/153 [==============================] - 0s 873us/step - loss: 0.5669
Epoch 50/100
153/153 [==============================] - 0s 834us/step - loss: 0.5656
Epoch 51/100
153/153 [==============================] - 0s 854us/step - loss: 0.5637
Epoch 52/100
153/153 [==============================] - 0s 880us/step - loss: 0.5675
Epoch 53/100
153/153 [==============================] - 0s 906us/step - loss: 0.5653
Epoch 54/100
153/153 [==============================] - 0s 913us/step - loss: 0.5639
Epoch 55/100
153/153 [==============================] - 0s 887us/step - loss: 0.5654
Epoch 56/100
153/153 [==============================] - 0s 887us/step - loss: 0.5621
Epoch 57/100
153/153 [==============================] - 0s 906us/step - loss: 0.5631
Epoch 58/100
153/153 [==============================] - 0s 919us/step - loss: 0.5636
Epoch 59/100
153/153 [==============================] - 0s 900us/step - loss: 0.5630
Epoch 60/100
153/153 [==============================] - 0s 906us/step - loss: 0.5629
Epoch 61/100
153/153 [==============================] - 0s 880us/step - loss: 0.5597
Epoch 62/100
153/153 [==============================] - 0s 880us/step - loss: 0.5592
Epoch 63/100
153/153 [==============================] - 0s 906us/step - loss: 0.5594
Epoch 64/100
153/153 [==============================] - 0s 880us/step - loss: 0.5586
Epoch 65/100
153/153 [==============================] - 0s 893us/step - loss: 0.5590
Epoch 66/100
153/153 [==============================] - 0s 939us/step - loss: 0.5588
Epoch 67/100
153/153 [==============================] - 0s 893us/step - loss: 0.5582
Epoch 68/100
153/153 [==============================] - 0s 913us/step - loss: 0.5576
Epoch 69/100
153/153 [==============================] - 0s 847us/step - loss: 0.5575
Epoch 70/100
153/153 [==============================] - 0s 900us/step - loss: 0.5561
Epoch 71/100
153/153 [==============================] - 0s 906us/step - loss: 0.5573
Epoch 72/100
153/153 [==============================] - 0s 900us/step - loss: 0.5542
Epoch 73/100
153/153 [==============================] - 0s 913us/step - loss: 0.5568
Epoch 74/100
153/153 [==============================] - 0s 847us/step - loss: 0.5551
Epoch 75/100
153/153 [==============================] - 0s 919us/step - loss: 0.5558
Epoch 76/100
153/153 [==============================] - 0s 867us/step - loss: 0.5534
Epoch 77/100
153/153 [==============================] - 0s 893us/step - loss: 0.5546
Epoch 78/100
153/153 [==============================] - 0s 926us/step - loss: 0.5540
Epoch 79/100
153/153 [==============================] - 0s 860us/step - loss: 0.5526
Epoch 80/100
153/153 [==============================] - 0s 795us/step - loss: 0.5536
Epoch 81/100
153/153 [==============================] - 0s 841us/step - loss: 0.5541
Epoch 82/100
153/153 [==============================] - 0s 854us/step - loss: 0.5522
Epoch 83/100
153/153 [==============================] - 0s 893us/step - loss: 0.5519
Epoch 84/100
153/153 [==============================] - 0s 867us/step - loss: 0.5501
Epoch 85/100
153/153 [==============================] - 0s 867us/step - loss: 0.5504
Epoch 86/100
153/153 [==============================] - 0s 887us/step - loss: 0.5497
Epoch 87/100
153/153 [==============================] - 0s 847us/step - loss: 0.5514
Epoch 88/100
153/153 [==============================] - 0s 860us/step - loss: 0.5494
Epoch 89/100
153/153 [==============================] - 0s 880us/step - loss: 0.5486
Epoch 90/100
153/153 [==============================] - 0s 900us/step - loss: 0.5483
Epoch 91/100
153/153 [==============================] - 0s 841us/step - loss: 0.5479
Epoch 92/100
153/153 [==============================] - 0s 867us/step - loss: 0.5496
Epoch 93/100
153/153 [==============================] - 0s 873us/step - loss: 0.5461
Epoch 94/100
153/153 [==============================] - 0s 854us/step - loss: 0.5455
Epoch 95/100
153/153 [==============================] - 0s 887us/step - loss: 0.5481
Epoch 96/100
153/153 [==============================] - 0s 965us/step - loss: 0.5455
Epoch 97/100
153/153 [==============================] - 0s 900us/step - loss: 0.5422
Epoch 98/100
153/153 [==============================] - 0s 906us/step - loss: 0.5468
Epoch 99/100
153/153 [==============================] - 0s 867us/step - loss: 0.5451
Epoch 100/100
153/153 [==============================] - 0s 867us/step - loss: 0.5408
###################################################################### Accuracy: 76.93452249542196
Epoch 1/100
153/153 [==============================] - 0s 827us/step - loss: 0.9552
Epoch 2/100
153/153 [==============================] - 0s 900us/step - loss: 0.8604
Epoch 3/100
153/153 [==============================] - 0s 867us/step - loss: 0.7976
Epoch 4/100
153/153 [==============================] - 0s 952us/step - loss: 0.7655
Epoch 5/100
153/153 [==============================] - 0s 926us/step - loss: 0.7360
Epoch 6/100
153/153 [==============================] - 0s 893us/step - loss: 0.7147
Epoch 7/100
153/153 [==============================] - 0s 926us/step - loss: 0.6964
Epoch 8/100
153/153 [==============================] - 0s 906us/step - loss: 0.6826
Epoch 9/100
153/153 [==============================] - 0s 887us/step - loss: 0.6675
Epoch 10/100
153/153 [==============================] - 0s 795us/step - loss: 0.6558
Epoch 11/100
153/153 [==============================] - 0s 893us/step - loss: 0.6442
Epoch 12/100
153/153 [==============================] - 0s 880us/step - loss: 0.6370
Epoch 13/100
153/153 [==============================] - 0s 873us/step - loss: 0.6286
Epoch 14/100
153/153 [==============================] - 0s 932us/step - loss: 0.6247
Epoch 15/100
153/153 [==============================] - 0s 900us/step - loss: 0.6168
Epoch 16/100
153/153 [==============================] - 0s 893us/step - loss: 0.6119
Epoch 17/100
153/153 [==============================] - 0s 854us/step - loss: 0.6079
Epoch 18/100
153/153 [==============================] - 0s 873us/step - loss: 0.6028
Epoch 19/100
153/153 [==============================] - 0s 873us/step - loss: 0.5992
Epoch 20/100
153/153 [==============================] - 0s 919us/step - loss: 0.5949
Epoch 21/100
153/153 [==============================] - 0s 919us/step - loss: 0.5901
Epoch 22/100
153/153 [==============================] - 0s 847us/step - loss: 0.5892
Epoch 23/100
153/153 [==============================] - 0s 874us/step - loss: 0.5850
Epoch 24/100
153/153 [==============================] - 0s 880us/step - loss: 0.5846
Epoch 25/100
153/153 [==============================] - 0s 847us/step - loss: 0.5803
Epoch 26/100
153/153 [==============================] - 0s 847us/step - loss: 0.5789
Epoch 27/100
153/153 [==============================] - 0s 815us/step - loss: 0.5794
Epoch 28/100
153/153 [==============================] - 0s 841us/step - loss: 0.5779
Epoch 29/100
153/153 [==============================] - 0s 860us/step - loss: 0.5745
Epoch 30/100
153/153 [==============================] - 0s 795us/step - loss: 0.5734
Epoch 31/100
153/153 [==============================] - 0s 860us/step - loss: 0.5742
Epoch 32/100
153/153 [==============================] - 0s 854us/step - loss: 0.5708
Epoch 33/100
153/153 [==============================] - 0s 847us/step - loss: 0.5705
Epoch 34/100
153/153 [==============================] - 0s 841us/step - loss: 0.5682
Epoch 35/100
153/153 [==============================] - 0s 828us/step - loss: 0.5676
Epoch 36/100
153/153 [==============================] - 0s 795us/step - loss: 0.5681 0s - loss: 0.55
Epoch 37/100
153/153 [==============================] - 0s 834us/step - loss: 0.5654
Epoch 38/100
153/153 [==============================] - 0s 828us/step - loss: 0.5648
Epoch 39/100
153/153 [==============================] - 0s 847us/step - loss: 0.5660
Epoch 40/100
153/153 [==============================] - 0s 867us/step - loss: 0.5621
Epoch 41/100
153/153 [==============================] - 0s 854us/step - loss: 0.5626
Epoch 42/100
153/153 [==============================] - 0s 828us/step - loss: 0.5583
Epoch 43/100
153/153 [==============================] - 0s 854us/step - loss: 0.5593
Epoch 44/100
153/153 [==============================] - 0s 821us/step - loss: 0.5606
Epoch 45/100
153/153 [==============================] - 0s 847us/step - loss: 0.5570
Epoch 46/100
153/153 [==============================] - 0s 776us/step - loss: 0.5565
Epoch 47/100
153/153 [==============================] - 0s 782us/step - loss: 0.5574
Epoch 48/100
153/153 [==============================] - 0s 834us/step - loss: 0.5563 0s - loss: 0.554
Epoch 49/100
153/153 [==============================] - 0s 860us/step - loss: 0.5565
Epoch 50/100
153/153 [==============================] - 0s 834us/step - loss: 0.5539
Epoch 51/100
153/153 [==============================] - 0s 873us/step - loss: 0.5533
Epoch 52/100
153/153 [==============================] - 0s 854us/step - loss: 0.5535
Epoch 53/100
153/153 [==============================] - 0s 834us/step - loss: 0.5525
Epoch 54/100
153/153 [==============================] - 0s 834us/step - loss: 0.5519
Epoch 55/100
153/153 [==============================] - 0s 847us/step - loss: 0.5510
Epoch 56/100
153/153 [==============================] - 0s 828us/step - loss: 0.5510
Epoch 57/100
153/153 [==============================] - 0s 880us/step - loss: 0.5510
Epoch 58/100
153/153 [==============================] - 0s 841us/step - loss: 0.5479
Epoch 59/100
153/153 [==============================] - 0s 828us/step - loss: 0.5518
Epoch 60/100
153/153 [==============================] - 0s 802us/step - loss: 0.5484
Epoch 61/100
153/153 [==============================] - 0s 795us/step - loss: 0.5495
Epoch 62/100
153/153 [==============================] - 0s 782us/step - loss: 0.5480
Epoch 63/100
153/153 [==============================] - 0s 795us/step - loss: 0.5434
Epoch 64/100
153/153 [==============================] - 0s 802us/step - loss: 0.5489
Epoch 65/100
153/153 [==============================] - 0s 782us/step - loss: 0.5459
Epoch 66/100
153/153 [==============================] - 0s 782us/step - loss: 0.5462
Epoch 67/100
153/153 [==============================] - 0s 763us/step - loss: 0.5459
Epoch 68/100
153/153 [==============================] - 0s 769us/step - loss: 0.5459
Epoch 69/100
153/153 [==============================] - 0s 743us/step - loss: 0.5443
Epoch 70/100
153/153 [==============================] - 0s 750us/step - loss: 0.5449
Epoch 71/100
153/153 [==============================] - 0s 769us/step - loss: 0.5438
Epoch 72/100
153/153 [==============================] - 0s 737us/step - loss: 0.5432
Epoch 73/100
153/153 [==============================] - 0s 756us/step - loss: 0.5433
Epoch 74/100
153/153 [==============================] - 0s 750us/step - loss: 0.5416
Epoch 75/100
153/153 [==============================] - 0s 789us/step - loss: 0.5417
Epoch 76/100
153/153 [==============================] - 0s 782us/step - loss: 0.5406
Epoch 77/100
153/153 [==============================] - 0s 789us/step - loss: 0.5404
Epoch 78/100
153/153 [==============================] - 0s 782us/step - loss: 0.5380
Epoch 79/100
153/153 [==============================] - 0s 782us/step - loss: 0.5367
Epoch 80/100
153/153 [==============================] - 0s 776us/step - loss: 0.5398 0s - loss: 0.543
Epoch 81/100
153/153 [==============================] - 0s 750us/step - loss: 0.5352
Epoch 82/100
153/153 [==============================] - 0s 756us/step - loss: 0.5392
Epoch 83/100
153/153 [==============================] - 0s 763us/step - loss: 0.5379
Epoch 84/100
153/153 [==============================] - 0s 776us/step - loss: 0.5376
Epoch 85/100
153/153 [==============================] - 0s 763us/step - loss: 0.5373
Epoch 86/100
153/153 [==============================] - 0s 763us/step - loss: 0.5370
Epoch 87/100
153/153 [==============================] - 0s 776us/step - loss: 0.5359
Epoch 88/100
153/153 [==============================] - 0s 737us/step - loss: 0.5336
Epoch 89/100
153/153 [==============================] - 0s 769us/step - loss: 0.5348
Epoch 90/100
153/153 [==============================] - 0s 737us/step - loss: 0.5354
Epoch 91/100
153/153 [==============================] - 0s 750us/step - loss: 0.5327
Epoch 92/100
153/153 [==============================] - 0s 776us/step - loss: 0.5329
Epoch 93/100
153/153 [==============================] - 0s 782us/step - loss: 0.5327
Epoch 94/100
153/153 [==============================] - 0s 743us/step - loss: 0.5336
Epoch 95/100
153/153 [==============================] - 0s 737us/step - loss: 0.5306
Epoch 96/100
153/153 [==============================] - 0s 743us/step - loss: 0.5317
Epoch 97/100
153/153 [==============================] - 0s 769us/step - loss: 0.5299
Epoch 98/100
153/153 [==============================] - 0s 750us/step - loss: 0.5288
Epoch 99/100
153/153 [==============================] - 0s 737us/step - loss: 0.5260
Epoch 100/100
153/153 [==============================] - 0s 730us/step - loss: 0.5279
###################################################################### Accuracy: 91.5764346492331
Epoch 1/100
153/153 [==============================] - 0s 808us/step - loss: 1.0133
Epoch 2/100
153/153 [==============================] - 0s 756us/step - loss: 0.9563
Epoch 3/100
153/153 [==============================] - 0s 763us/step - loss: 0.8488
Epoch 4/100
153/153 [==============================] - 0s 769us/step - loss: 0.7734
Epoch 5/100
153/153 [==============================] - 0s 750us/step - loss: 0.7368
Epoch 6/100
153/153 [==============================] - 0s 782us/step - loss: 0.7121
Epoch 7/100
153/153 [==============================] - 0s 769us/step - loss: 0.6984
Epoch 8/100
153/153 [==============================] - 0s 763us/step - loss: 0.6867
Epoch 9/100
153/153 [==============================] - 0s 782us/step - loss: 0.6777
Epoch 10/100
153/153 [==============================] - 0s 789us/step - loss: 0.6710
Epoch 11/100
153/153 [==============================] - 0s 769us/step - loss: 0.6636
Epoch 12/100
153/153 [==============================] - 0s 756us/step - loss: 0.6580
Epoch 13/100
153/153 [==============================] - 0s 802us/step - loss: 0.6555
Epoch 14/100
153/153 [==============================] - 0s 789us/step - loss: 0.6509
Epoch 15/100
153/153 [==============================] - 0s 776us/step - loss: 0.6448
Epoch 16/100
153/153 [==============================] - 0s 795us/step - loss: 0.6423
Epoch 17/100
153/153 [==============================] - 0s 769us/step - loss: 0.6389
Epoch 18/100
153/153 [==============================] - 0s 789us/step - loss: 0.6332
Epoch 19/100
153/153 [==============================] - 0s 776us/step - loss: 0.6335
Epoch 20/100
153/153 [==============================] - 0s 769us/step - loss: 0.6284
Epoch 21/100
153/153 [==============================] - 0s 795us/step - loss: 0.6283
Epoch 22/100
153/153 [==============================] - 0s 802us/step - loss: 0.6258
Epoch 23/100
153/153 [==============================] - 0s 776us/step - loss: 0.6230
Epoch 24/100
153/153 [==============================] - 0s 763us/step - loss: 0.6203
Epoch 25/100
153/153 [==============================] - 0s 795us/step - loss: 0.6187
Epoch 26/100
153/153 [==============================] - 0s 802us/step - loss: 0.6163
Epoch 27/100
153/153 [==============================] - 0s 737us/step - loss: 0.6130
Epoch 28/100
153/153 [==============================] - 0s 782us/step - loss: 0.6111
Epoch 29/100
153/153 [==============================] - 0s 802us/step - loss: 0.6096
Epoch 30/100
153/153 [==============================] - 0s 815us/step - loss: 0.6087
Epoch 31/100
153/153 [==============================] - 0s 769us/step - loss: 0.6037
Epoch 32/100
153/153 [==============================] - 0s 782us/step - loss: 0.6048
Epoch 33/100
153/153 [==============================] - 0s 795us/step - loss: 0.6018
Epoch 34/100
153/153 [==============================] - 0s 789us/step - loss: 0.6022
Epoch 35/100
153/153 [==============================] - 0s 769us/step - loss: 0.6016
Epoch 36/100
153/153 [==============================] - 0s 769us/step - loss: 0.5969
Epoch 37/100
153/153 [==============================] - 0s 789us/step - loss: 0.5984
Epoch 38/100
153/153 [==============================] - 0s 789us/step - loss: 0.5980
Epoch 39/100
153/153 [==============================] - 0s 743us/step - loss: 0.5955
Epoch 40/100
153/153 [==============================] - 0s 789us/step - loss: 0.5939
Epoch 41/100
153/153 [==============================] - 0s 763us/step - loss: 0.5917
Epoch 42/100
153/153 [==============================] - 0s 769us/step - loss: 0.5934
Epoch 43/100
153/153 [==============================] - 0s 808us/step - loss: 0.5910
Epoch 44/100
153/153 [==============================] - 0s 756us/step - loss: 0.5907
Epoch 45/100
153/153 [==============================] - 0s 756us/step - loss: 0.5887
Epoch 46/100
153/153 [==============================] - 0s 769us/step - loss: 0.5877
Epoch 47/100
153/153 [==============================] - 0s 776us/step - loss: 0.5874
Epoch 48/100
153/153 [==============================] - 0s 763us/step - loss: 0.5852
Epoch 49/100
153/153 [==============================] - 0s 782us/step - loss: 0.5871
Epoch 50/100
153/153 [==============================] - 0s 808us/step - loss: 0.5847
Epoch 51/100
153/153 [==============================] - 0s 724us/step - loss: 0.5821
Epoch 52/100
153/153 [==============================] - 0s 756us/step - loss: 0.5834
Epoch 53/100
153/153 [==============================] - 0s 841us/step - loss: 0.5822
Epoch 54/100
153/153 [==============================] - 0s 789us/step - loss: 0.5821
Epoch 55/100
153/153 [==============================] - 0s 782us/step - loss: 0.5811
Epoch 56/100
153/153 [==============================] - 0s 763us/step - loss: 0.5814
Epoch 57/100
153/153 [==============================] - 0s 782us/step - loss: 0.5793
Epoch 58/100
153/153 [==============================] - 0s 802us/step - loss: 0.5793
Epoch 59/100
153/153 [==============================] - 0s 776us/step - loss: 0.5748
Epoch 60/100
153/153 [==============================] - 0s 789us/step - loss: 0.5774
Epoch 61/100
153/153 [==============================] - 0s 769us/step - loss: 0.5776
Epoch 62/100
153/153 [==============================] - 0s 802us/step - loss: 0.5752
Epoch 63/100
153/153 [==============================] - 0s 782us/step - loss: 0.5770
Epoch 64/100
153/153 [==============================] - 0s 795us/step - loss: 0.5768
Epoch 65/100
153/153 [==============================] - 0s 769us/step - loss: 0.5757
Epoch 66/100
153/153 [==============================] - 0s 769us/step - loss: 0.5763
Epoch 67/100
153/153 [==============================] - 0s 769us/step - loss: 0.5742
Epoch 68/100
153/153 [==============================] - 0s 763us/step - loss: 0.5738
Epoch 69/100
153/153 [==============================] - 0s 782us/step - loss: 0.5744
Epoch 70/100
153/153 [==============================] - 0s 776us/step - loss: 0.5738
Epoch 71/100
153/153 [==============================] - 0s 782us/step - loss: 0.5729
Epoch 72/100
153/153 [==============================] - 0s 789us/step - loss: 0.5729
Epoch 73/100
153/153 [==============================] - 0s 795us/step - loss: 0.5732
Epoch 74/100
153/153 [==============================] - 0s 776us/step - loss: 0.5723
Epoch 75/100
153/153 [==============================] - 0s 750us/step - loss: 0.5717
Epoch 76/100
153/153 [==============================] - 0s 789us/step - loss: 0.5726
Epoch 77/100
153/153 [==============================] - 0s 795us/step - loss: 0.5712
Epoch 78/100
153/153 [==============================] - 0s 782us/step - loss: 0.5702
Epoch 79/100
153/153 [==============================] - 0s 769us/step - loss: 0.5721
Epoch 80/100
153/153 [==============================] - 0s 808us/step - loss: 0.5719
Epoch 81/100
153/153 [==============================] - 0s 756us/step - loss: 0.5687
Epoch 82/100
153/153 [==============================] - 0s 763us/step - loss: 0.5721
Epoch 83/100
153/153 [==============================] - 0s 795us/step - loss: 0.5706
Epoch 84/100
153/153 [==============================] - 0s 789us/step - loss: 0.5691
Epoch 85/100
153/153 [==============================] - 0s 802us/step - loss: 0.5692
Epoch 86/100
153/153 [==============================] - 0s 776us/step - loss: 0.5682
Epoch 87/100
153/153 [==============================] - 0s 763us/step - loss: 0.5674
Epoch 88/100
153/153 [==============================] - 0s 789us/step - loss: 0.5675
Epoch 89/100
153/153 [==============================] - 0s 802us/step - loss: 0.5685
Epoch 90/100
153/153 [==============================] - 0s 776us/step - loss: 0.5631
Epoch 91/100
153/153 [==============================] - 0s 789us/step - loss: 0.5666
Epoch 92/100
153/153 [==============================] - 0s 769us/step - loss: 0.5642
Epoch 93/100
153/153 [==============================] - 0s 802us/step - loss: 0.5652
Epoch 94/100
153/153 [==============================] - 0s 795us/step - loss: 0.5652
Epoch 95/100
153/153 [==============================] - 0s 769us/step - loss: 0.5626
Epoch 96/100
153/153 [==============================] - 0s 763us/step - loss: 0.5627
Epoch 97/100
153/153 [==============================] - 0s 782us/step - loss: 0.5630
Epoch 98/100
153/153 [==============================] - 0s 750us/step - loss: 0.5614
Epoch 99/100
153/153 [==============================] - 0s 769us/step - loss: 0.5627
Epoch 100/100
153/153 [==============================] - 0s 776us/step - loss: 0.5606
###################################################################### Accuracy: 77.3152461257935
Epoch 1/100
153/153 [==============================] - 0s 802us/step - loss: 0.9800
Epoch 2/100
153/153 [==============================] - 0s 769us/step - loss: 0.8579
Epoch 3/100
153/153 [==============================] - 0s 743us/step - loss: 0.7151
Epoch 4/100
153/153 [==============================] - 0s 730us/step - loss: 0.6618
Epoch 5/100
153/153 [==============================] - 0s 750us/step - loss: 0.6498
Epoch 6/100
153/153 [==============================] - 0s 737us/step - loss: 0.6437
Epoch 7/100
153/153 [==============================] - 0s 776us/step - loss: 0.6375
Epoch 8/100
153/153 [==============================] - 0s 769us/step - loss: 0.6329
Epoch 9/100
153/153 [==============================] - 0s 769us/step - loss: 0.6279
Epoch 10/100
153/153 [==============================] - 0s 763us/step - loss: 0.6250
Epoch 11/100
153/153 [==============================] - 0s 776us/step - loss: 0.6216
Epoch 12/100
153/153 [==============================] - 0s 769us/step - loss: 0.6170
Epoch 13/100
153/153 [==============================] - 0s 763us/step - loss: 0.6130
Epoch 14/100
153/153 [==============================] - 0s 769us/step - loss: 0.6092
Epoch 15/100
153/153 [==============================] - 0s 795us/step - loss: 0.6055
Epoch 16/100
153/153 [==============================] - 0s 769us/step - loss: 0.6037
Epoch 17/100
153/153 [==============================] - 0s 750us/step - loss: 0.6013
Epoch 18/100
153/153 [==============================] - 0s 776us/step - loss: 0.5972
Epoch 19/100
153/153 [==============================] - 0s 782us/step - loss: 0.5964
Epoch 20/100
153/153 [==============================] - 0s 756us/step - loss: 0.5923
Epoch 21/100
153/153 [==============================] - 0s 789us/step - loss: 0.5903
Epoch 22/100
153/153 [==============================] - 0s 763us/step - loss: 0.5875
Epoch 23/100
153/153 [==============================] - 0s 763us/step - loss: 0.5838
Epoch 24/100
153/153 [==============================] - 0s 776us/step - loss: 0.5827
Epoch 25/100
153/153 [==============================] - 0s 782us/step - loss: 0.5812
Epoch 26/100
153/153 [==============================] - 0s 743us/step - loss: 0.5786
Epoch 27/100
153/153 [==============================] - 0s 750us/step - loss: 0.5748
Epoch 28/100
153/153 [==============================] - 0s 763us/step - loss: 0.5777
Epoch 29/100
153/153 [==============================] - 0s 776us/step - loss: 0.5735
Epoch 30/100
153/153 [==============================] - 0s 782us/step - loss: 0.5737
Epoch 31/100
153/153 [==============================] - 0s 782us/step - loss: 0.5726
Epoch 32/100
153/153 [==============================] - 0s 776us/step - loss: 0.5723
Epoch 33/100
153/153 [==============================] - 0s 789us/step - loss: 0.5699
Epoch 34/100
153/153 [==============================] - 0s 763us/step - loss: 0.5694
Epoch 35/100
153/153 [==============================] - 0s 769us/step - loss: 0.5695
Epoch 36/100
153/153 [==============================] - 0s 750us/step - loss: 0.5679
Epoch 37/100
153/153 [==============================] - 0s 756us/step - loss: 0.5671
Epoch 38/100
153/153 [==============================] - 0s 750us/step - loss: 0.5659
Epoch 39/100
153/153 [==============================] - 0s 776us/step - loss: 0.5631
Epoch 40/100
153/153 [==============================] - 0s 789us/step - loss: 0.5641
Epoch 41/100
153/153 [==============================] - 0s 776us/step - loss: 0.5619 0s - loss: 0.568
Epoch 42/100
153/153 [==============================] - 0s 776us/step - loss: 0.5624
Epoch 43/100
153/153 [==============================] - 0s 756us/step - loss: 0.5629
Epoch 44/100
153/153 [==============================] - 0s 763us/step - loss: 0.5600
Epoch 45/100
153/153 [==============================] - 0s 756us/step - loss: 0.5596
Epoch 46/100
153/153 [==============================] - 0s 789us/step - loss: 0.5607
Epoch 47/100
153/153 [==============================] - 0s 789us/step - loss: 0.5590
Epoch 48/100
153/153 [==============================] - 0s 782us/step - loss: 0.5583
Epoch 49/100
153/153 [==============================] - 0s 776us/step - loss: 0.5580
Epoch 50/100
153/153 [==============================] - 0s 769us/step - loss: 0.5562
Epoch 51/100
153/153 [==============================] - 0s 743us/step - loss: 0.5572
Epoch 52/100
153/153 [==============================] - 0s 782us/step - loss: 0.5553
Epoch 53/100
153/153 [==============================] - 0s 763us/step - loss: 0.5544
Epoch 54/100
153/153 [==============================] - 0s 743us/step - loss: 0.5553
Epoch 55/100
153/153 [==============================] - 0s 750us/step - loss: 0.5541
Epoch 56/100
153/153 [==============================] - 0s 952us/step - loss: 0.5511
Epoch 57/100
153/153 [==============================] - 0s 815us/step - loss: 0.5493
Epoch 58/100
153/153 [==============================] - 0s 750us/step - loss: 0.5535
Epoch 59/100
153/153 [==============================] - 0s 756us/step - loss: 0.5531
Epoch 60/100
153/153 [==============================] - 0s 743us/step - loss: 0.5511
Epoch 61/100
153/153 [==============================] - 0s 782us/step - loss: 0.5519
Epoch 62/100
153/153 [==============================] - 0s 789us/step - loss: 0.5480
Epoch 63/100
153/153 [==============================] - 0s 789us/step - loss: 0.5495
Epoch 64/100
153/153 [==============================] - 0s 776us/step - loss: 0.5497
Epoch 65/100
153/153 [==============================] - 0s 756us/step - loss: 0.5470
Epoch 66/100
153/153 [==============================] - 0s 756us/step - loss: 0.5480
Epoch 67/100
153/153 [==============================] - 0s 776us/step - loss: 0.5482
Epoch 68/100
153/153 [==============================] - 0s 789us/step - loss: 0.5474
Epoch 69/100
153/153 [==============================] - 0s 802us/step - loss: 0.5478
Epoch 70/100
153/153 [==============================] - 0s 750us/step - loss: 0.5473
Epoch 71/100
153/153 [==============================] - 0s 743us/step - loss: 0.5458
Epoch 72/100
153/153 [==============================] - 0s 776us/step - loss: 0.5478
Epoch 73/100
153/153 [==============================] - 0s 776us/step - loss: 0.5473
Epoch 74/100
153/153 [==============================] - 0s 756us/step - loss: 0.5472
Epoch 75/100
153/153 [==============================] - 0s 782us/step - loss: 0.5441
Epoch 76/100
153/153 [==============================] - 0s 743us/step - loss: 0.5467
Epoch 77/100
153/153 [==============================] - 0s 730us/step - loss: 0.5454
Epoch 78/100
153/153 [==============================] - 0s 776us/step - loss: 0.5438
Epoch 79/100
153/153 [==============================] - 0s 776us/step - loss: 0.5440
Epoch 80/100
153/153 [==============================] - 0s 743us/step - loss: 0.5427
Epoch 81/100
153/153 [==============================] - 0s 776us/step - loss: 0.5442
Epoch 82/100
153/153 [==============================] - 0s 782us/step - loss: 0.5450
Epoch 83/100
153/153 [==============================] - 0s 776us/step - loss: 0.5419
Epoch 84/100
153/153 [==============================] - 0s 782us/step - loss: 0.5427
Epoch 85/100
153/153 [==============================] - 0s 789us/step - loss: 0.5428
Epoch 86/100
153/153 [==============================] - 0s 769us/step - loss: 0.5427
Epoch 87/100
153/153 [==============================] - 0s 769us/step - loss: 0.5396
Epoch 88/100
153/153 [==============================] - 0s 782us/step - loss: 0.5406
Epoch 89/100
153/153 [==============================] - 0s 789us/step - loss: 0.5403
Epoch 90/100
153/153 [==============================] - 0s 743us/step - loss: 0.5408
Epoch 91/100
153/153 [==============================] - 0s 756us/step - loss: 0.5387
Epoch 92/100
153/153 [==============================] - 0s 763us/step - loss: 0.5395
Epoch 93/100
153/153 [==============================] - 0s 763us/step - loss: 0.5382
Epoch 94/100
153/153 [==============================] - 0s 769us/step - loss: 0.5383
Epoch 95/100
153/153 [==============================] - 0s 776us/step - loss: 0.5404
Epoch 96/100
153/153 [==============================] - 0s 769us/step - loss: 0.5389
Epoch 97/100
153/153 [==============================] - 0s 756us/step - loss: 0.5371
Epoch 98/100
153/153 [==============================] - 0s 730us/step - loss: 0.5378
Epoch 99/100
153/153 [==============================] - 0s 776us/step - loss: 0.5386
Epoch 100/100
153/153 [==============================] - 0s 763us/step - loss: 0.5368
###################################################################### Accuracy: 71.82616772642737
Epoch 1/150
152/152 [==============================] - 0s 754us/step - loss: 1.0047
Epoch 2/150
152/152 [==============================] - 0s 741us/step - loss: 0.8992
Epoch 3/150
152/152 [==============================] - 0s 709us/step - loss: 0.7442
Epoch 4/150
152/152 [==============================] - 0s 689us/step - loss: 0.6703
Epoch 5/150
152/152 [==============================] - 0s 728us/step - loss: 0.6461
Epoch 6/150
152/152 [==============================] - 0s 715us/step - loss: 0.6405
Epoch 7/150
152/152 [==============================] - 0s 656us/step - loss: 0.6355
Epoch 8/150
152/152 [==============================] - 0s 722us/step - loss: 0.6324
Epoch 9/150
152/152 [==============================] - 0s 696us/step - loss: 0.6258
Epoch 10/150
152/152 [==============================] - 0s 709us/step - loss: 0.6240
Epoch 11/150
152/152 [==============================] - 0s 715us/step - loss: 0.6196
Epoch 12/150
152/152 [==============================] - 0s 663us/step - loss: 0.6149
Epoch 13/150
152/152 [==============================] - 0s 715us/step - loss: 0.6095
Epoch 14/150
152/152 [==============================] - 0s 728us/step - loss: 0.6032
Epoch 15/150
152/152 [==============================] - 0s 689us/step - loss: 0.6011
Epoch 16/150
152/152 [==============================] - 0s 741us/step - loss: 0.5939
Epoch 17/150
152/152 [==============================] - 0s 656us/step - loss: 0.5934
Epoch 18/150
152/152 [==============================] - 0s 722us/step - loss: 0.5871
Epoch 19/150
152/152 [==============================] - 0s 702us/step - loss: 0.5872
Epoch 20/150
152/152 [==============================] - 0s 663us/step - loss: 0.5820
Epoch 21/150
152/152 [==============================] - 0s 748us/step - loss: 0.5823
Epoch 22/150
152/152 [==============================] - 0s 702us/step - loss: 0.5785
Epoch 23/150
152/152 [==============================] - 0s 715us/step - loss: 0.5769
Epoch 24/150
152/152 [==============================] - 0s 709us/step - loss: 0.5762
Epoch 25/150
152/152 [==============================] - 0s 741us/step - loss: 0.5733
Epoch 26/150
152/152 [==============================] - 0s 696us/step - loss: 0.5728
Epoch 27/150
152/152 [==============================] - 0s 722us/step - loss: 0.5720
Epoch 28/150
152/152 [==============================] - 0s 702us/step - loss: 0.5710
Epoch 29/150
152/152 [==============================] - 0s 722us/step - loss: 0.5687
Epoch 30/150
152/152 [==============================] - 0s 755us/step - loss: 0.5684
Epoch 31/150
152/152 [==============================] - 0s 735us/step - loss: 0.5662
Epoch 32/150
152/152 [==============================] - 0s 755us/step - loss: 0.5670
Epoch 33/150
152/152 [==============================] - 0s 715us/step - loss: 0.5658
Epoch 34/150
152/152 [==============================] - 0s 702us/step - loss: 0.5655
Epoch 35/150
152/152 [==============================] - 0s 715us/step - loss: 0.5646
Epoch 36/150
152/152 [==============================] - 0s 695us/step - loss: 0.5639
Epoch 37/150
152/152 [==============================] - 0s 728us/step - loss: 0.5629
Epoch 38/150
152/152 [==============================] - 0s 709us/step - loss: 0.5617
Epoch 39/150
152/152 [==============================] - 0s 722us/step - loss: 0.5615
Epoch 40/150
152/152 [==============================] - 0s 741us/step - loss: 0.5607
Epoch 41/150
152/152 [==============================] - 0s 722us/step - loss: 0.5613
Epoch 42/150
152/152 [==============================] - 0s 728us/step - loss: 0.5576
Epoch 43/150
152/152 [==============================] - 0s 735us/step - loss: 0.5594
Epoch 44/150
152/152 [==============================] - 0s 722us/step - loss: 0.5594
Epoch 45/150
152/152 [==============================] - 0s 728us/step - loss: 0.5577
Epoch 46/150
152/152 [==============================] - 0s 728us/step - loss: 0.5575
Epoch 47/150
152/152 [==============================] - 0s 768us/step - loss: 0.5565
Epoch 48/150
152/152 [==============================] - 0s 715us/step - loss: 0.5563 0s - loss: 0.55
Epoch 49/150
152/152 [==============================] - 0s 741us/step - loss: 0.5569
Epoch 50/150
152/152 [==============================] - 0s 689us/step - loss: 0.5556
Epoch 51/150
152/152 [==============================] - 0s 735us/step - loss: 0.5534
Epoch 52/150
152/152 [==============================] - 0s 722us/step - loss: 0.5549
Epoch 53/150
152/152 [==============================] - 0s 768us/step - loss: 0.5514
Epoch 54/150
152/152 [==============================] - 0s 715us/step - loss: 0.5540
Epoch 55/150
152/152 [==============================] - 0s 702us/step - loss: 0.5520
Epoch 56/150
152/152 [==============================] - 0s 735us/step - loss: 0.5526
Epoch 57/150
152/152 [==============================] - 0s 735us/step - loss: 0.5492
Epoch 58/150
152/152 [==============================] - 0s 715us/step - loss: 0.5497
Epoch 59/150
152/152 [==============================] - 0s 722us/step - loss: 0.5499
Epoch 60/150
152/152 [==============================] - 0s 722us/step - loss: 0.5494
Epoch 61/150
152/152 [==============================] - 0s 728us/step - loss: 0.5488
Epoch 62/150
152/152 [==============================] - 0s 715us/step - loss: 0.5490
Epoch 63/150
152/152 [==============================] - 0s 702us/step - loss: 0.5467
Epoch 64/150
152/152 [==============================] - 0s 709us/step - loss: 0.5462
Epoch 65/150
152/152 [==============================] - 0s 741us/step - loss: 0.5455
Epoch 66/150
152/152 [==============================] - 0s 722us/step - loss: 0.5452
Epoch 67/150
152/152 [==============================] - 0s 715us/step - loss: 0.5433
Epoch 68/150
152/152 [==============================] - 0s 728us/step - loss: 0.5427
Epoch 69/150
152/152 [==============================] - 0s 748us/step - loss: 0.5407
Epoch 70/150
152/152 [==============================] - 0s 735us/step - loss: 0.5422
Epoch 71/150
152/152 [==============================] - 0s 735us/step - loss: 0.5380
Epoch 72/150
152/152 [==============================] - 0s 728us/step - loss: 0.5391
Epoch 73/150
152/152 [==============================] - 0s 735us/step - loss: 0.5407
Epoch 74/150
152/152 [==============================] - 0s 735us/step - loss: 0.5366
Epoch 75/150
152/152 [==============================] - 0s 702us/step - loss: 0.5369
Epoch 76/150
152/152 [==============================] - 0s 709us/step - loss: 0.5341 0s - loss: 0.57
Epoch 77/150
152/152 [==============================] - 0s 735us/step - loss: 0.5342
Epoch 78/150
152/152 [==============================] - 0s 715us/step - loss: 0.5335
Epoch 79/150
152/152 [==============================] - 0s 709us/step - loss: 0.5319
Epoch 80/150
152/152 [==============================] - 0s 709us/step - loss: 0.5320
Epoch 81/150
152/152 [==============================] - 0s 728us/step - loss: 0.5314
Epoch 82/150
152/152 [==============================] - 0s 741us/step - loss: 0.5318
Epoch 83/150
152/152 [==============================] - 0s 741us/step - loss: 0.5315
Epoch 84/150
152/152 [==============================] - 0s 735us/step - loss: 0.5277
Epoch 85/150
152/152 [==============================] - 0s 709us/step - loss: 0.5283
Epoch 86/150
152/152 [==============================] - 0s 722us/step - loss: 0.5286
Epoch 87/150
152/152 [==============================] - 0s 728us/step - loss: 0.5260
Epoch 88/150
152/152 [==============================] - 0s 722us/step - loss: 0.5264
Epoch 89/150
152/152 [==============================] - 0s 735us/step - loss: 0.5255
Epoch 90/150
152/152 [==============================] - 0s 702us/step - loss: 0.5243
Epoch 91/150
152/152 [==============================] - 0s 735us/step - loss: 0.5236
Epoch 92/150
152/152 [==============================] - 0s 728us/step - loss: 0.5239
Epoch 93/150
152/152 [==============================] - 0s 722us/step - loss: 0.5234
Epoch 94/150
152/152 [==============================] - 0s 715us/step - loss: 0.5218
Epoch 95/150
152/152 [==============================] - 0s 702us/step - loss: 0.5234
Epoch 96/150
152/152 [==============================] - 0s 715us/step - loss: 0.5198
Epoch 97/150
152/152 [==============================] - 0s 696us/step - loss: 0.5178
Epoch 98/150
152/152 [==============================] - 0s 748us/step - loss: 0.5212
Epoch 99/150
152/152 [==============================] - 0s 650us/step - loss: 0.5187
Epoch 100/150
152/152 [==============================] - 0s 709us/step - loss: 0.5182
Epoch 101/150
152/152 [==============================] - 0s 722us/step - loss: 0.5168
Epoch 102/150
152/152 [==============================] - 0s 689us/step - loss: 0.5181
Epoch 103/150
152/152 [==============================] - 0s 709us/step - loss: 0.5152
Epoch 104/150
152/152 [==============================] - 0s 663us/step - loss: 0.5153
Epoch 105/150
152/152 [==============================] - 0s 722us/step - loss: 0.5152
Epoch 106/150
152/152 [==============================] - 0s 702us/step - loss: 0.5129
Epoch 107/150
152/152 [==============================] - 0s 741us/step - loss: 0.5129
Epoch 108/150
152/152 [==============================] - 0s 735us/step - loss: 0.5127
Epoch 109/150
152/152 [==============================] - 0s 709us/step - loss: 0.5146
Epoch 110/150
152/152 [==============================] - 0s 702us/step - loss: 0.5102
Epoch 111/150
152/152 [==============================] - 0s 669us/step - loss: 0.5121
Epoch 112/150
152/152 [==============================] - 0s 728us/step - loss: 0.5116
Epoch 113/150
152/152 [==============================] - 0s 696us/step - loss: 0.5080
Epoch 114/150
152/152 [==============================] - 0s 715us/step - loss: 0.5101
Epoch 115/150
152/152 [==============================] - 0s 715us/step - loss: 0.5065
Epoch 116/150
152/152 [==============================] - 0s 722us/step - loss: 0.5098
Epoch 117/150
152/152 [==============================] - 0s 748us/step - loss: 0.5070 0s - loss: 0.49
Epoch 118/150
152/152 [==============================] - 0s 728us/step - loss: 0.5055
Epoch 119/150
152/152 [==============================] - 0s 689us/step - loss: 0.5076
Epoch 120/150
152/152 [==============================] - 0s 722us/step - loss: 0.5042
Epoch 121/150
152/152 [==============================] - 0s 722us/step - loss: 0.5048
Epoch 122/150
152/152 [==============================] - 0s 715us/step - loss: 0.5038
Epoch 123/150
152/152 [==============================] - 0s 741us/step - loss: 0.5041
Epoch 124/150
152/152 [==============================] - 0s 702us/step - loss: 0.5011
Epoch 125/150
152/152 [==============================] - 0s 761us/step - loss: 0.5031
Epoch 126/150
152/152 [==============================] - 0s 722us/step - loss: 0.5033
Epoch 127/150
152/152 [==============================] - 0s 709us/step - loss: 0.4978
Epoch 128/150
152/152 [==============================] - 0s 669us/step - loss: 0.5025
Epoch 129/150
152/152 [==============================] - 0s 715us/step - loss: 0.4994
Epoch 130/150
152/152 [==============================] - 0s 709us/step - loss: 0.4985
Epoch 131/150
152/152 [==============================] - 0s 715us/step - loss: 0.4992
Epoch 132/150
152/152 [==============================] - 0s 709us/step - loss: 0.4985
Epoch 133/150
152/152 [==============================] - 0s 722us/step - loss: 0.4949
Epoch 134/150
152/152 [==============================] - 0s 702us/step - loss: 0.4954
Epoch 135/150
152/152 [==============================] - 0s 722us/step - loss: 0.4978
Epoch 136/150
152/152 [==============================] - 0s 702us/step - loss: 0.4924
Epoch 137/150
152/152 [==============================] - 0s 748us/step - loss: 0.4939
Epoch 138/150
152/152 [==============================] - 0s 682us/step - loss: 0.4938
Epoch 139/150
152/152 [==============================] - 0s 722us/step - loss: 0.4939
Epoch 140/150
152/152 [==============================] - 0s 741us/step - loss: 0.4942
Epoch 141/150
152/152 [==============================] - 0s 755us/step - loss: 0.4929
Epoch 142/150
152/152 [==============================] - 0s 741us/step - loss: 0.4925
Epoch 143/150
152/152 [==============================] - 0s 735us/step - loss: 0.4896
Epoch 144/150
152/152 [==============================] - 0s 702us/step - loss: 0.4914
Epoch 145/150
152/152 [==============================] - 0s 663us/step - loss: 0.4887
Epoch 146/150
152/152 [==============================] - 0s 728us/step - loss: 0.4920
Epoch 147/150
152/152 [==============================] - 0s 728us/step - loss: 0.4856
Epoch 148/150
152/152 [==============================] - 0s 715us/step - loss: 0.4895
Epoch 149/150
152/152 [==============================] - 0s 709us/step - loss: 0.4885
Epoch 150/150
152/152 [==============================] - 0s 722us/step - loss: 0.4879
###################################################################### Accuracy: 70.26597346707418
Epoch 1/150
153/153 [==============================] - 0s 763us/step - loss: 0.9609
Epoch 2/150
153/153 [==============================] - 0s 789us/step - loss: 0.8194
Epoch 3/150
153/153 [==============================] - 0s 756us/step - loss: 0.6898
Epoch 4/150
153/153 [==============================] - 0s 808us/step - loss: 0.6547
Epoch 5/150
153/153 [==============================] - 0s 769us/step - loss: 0.6467
Epoch 6/150
153/153 [==============================] - 0s 789us/step - loss: 0.6420
Epoch 7/150
153/153 [==============================] - 0s 782us/step - loss: 0.6395
Epoch 8/150
153/153 [==============================] - 0s 737us/step - loss: 0.6365
Epoch 9/150
153/153 [==============================] - 0s 795us/step - loss: 0.6319
Epoch 10/150
153/153 [==============================] - 0s 776us/step - loss: 0.6301
Epoch 11/150
153/153 [==============================] - 0s 756us/step - loss: 0.6235
Epoch 12/150
153/153 [==============================] - 0s 795us/step - loss: 0.6213
Epoch 13/150
153/153 [==============================] - 0s 756us/step - loss: 0.6191
Epoch 14/150
153/153 [==============================] - 0s 763us/step - loss: 0.6156
Epoch 15/150
153/153 [==============================] - 0s 802us/step - loss: 0.6126
Epoch 16/150
153/153 [==============================] - 0s 782us/step - loss: 0.6083
Epoch 17/150
153/153 [==============================] - 0s 769us/step - loss: 0.6059
Epoch 18/150
153/153 [==============================] - 0s 789us/step - loss: 0.6005
Epoch 19/150
153/153 [==============================] - 0s 769us/step - loss: 0.5996
Epoch 20/150
153/153 [==============================] - 0s 782us/step - loss: 0.5957
Epoch 21/150
153/153 [==============================] - 0s 756us/step - loss: 0.5908
Epoch 22/150
153/153 [==============================] - 0s 782us/step - loss: 0.5887
Epoch 23/150
153/153 [==============================] - 0s 789us/step - loss: 0.5868
Epoch 24/150
153/153 [==============================] - 0s 789us/step - loss: 0.5835
Epoch 25/150
153/153 [==============================] - 0s 756us/step - loss: 0.5810
Epoch 26/150
153/153 [==============================] - 0s 808us/step - loss: 0.5790
Epoch 27/150
153/153 [==============================] - 0s 776us/step - loss: 0.5793
Epoch 28/150
153/153 [==============================] - 0s 763us/step - loss: 0.5773
Epoch 29/150
153/153 [==============================] - 0s 743us/step - loss: 0.5773
Epoch 30/150
153/153 [==============================] - 0s 776us/step - loss: 0.5752
Epoch 31/150
153/153 [==============================] - 0s 782us/step - loss: 0.5736
Epoch 32/150
153/153 [==============================] - 0s 782us/step - loss: 0.5735
Epoch 33/150
153/153 [==============================] - 0s 750us/step - loss: 0.5721
Epoch 34/150
153/153 [==============================] - 0s 743us/step - loss: 0.5703
Epoch 35/150
153/153 [==============================] - 0s 763us/step - loss: 0.5690
Epoch 36/150
153/153 [==============================] - 0s 782us/step - loss: 0.5684
Epoch 37/150
153/153 [==============================] - 0s 815us/step - loss: 0.5673
Epoch 38/150
153/153 [==============================] - 0s 789us/step - loss: 0.5664
Epoch 39/150
153/153 [==============================] - 0s 763us/step - loss: 0.5639
Epoch 40/150
153/153 [==============================] - 0s 782us/step - loss: 0.5641
Epoch 41/150
153/153 [==============================] - 0s 750us/step - loss: 0.5634
Epoch 42/150
153/153 [==============================] - 0s 782us/step - loss: 0.5610
Epoch 43/150
153/153 [==============================] - 0s 789us/step - loss: 0.5608
Epoch 44/150
153/153 [==============================] - 0s 737us/step - loss: 0.5609
Epoch 45/150
153/153 [==============================] - 0s 763us/step - loss: 0.5603
Epoch 46/150
153/153 [==============================] - 0s 789us/step - loss: 0.5585
Epoch 47/150
153/153 [==============================] - 0s 769us/step - loss: 0.5577
Epoch 48/150
153/153 [==============================] - 0s 730us/step - loss: 0.5572
Epoch 49/150
153/153 [==============================] - 0s 795us/step - loss: 0.5559
Epoch 50/150
153/153 [==============================] - 0s 802us/step - loss: 0.5541
Epoch 51/150
153/153 [==============================] - 0s 750us/step - loss: 0.5530
Epoch 52/150
153/153 [==============================] - 0s 795us/step - loss: 0.5537
Epoch 53/150
153/153 [==============================] - 0s 782us/step - loss: 0.5503
Epoch 54/150
153/153 [==============================] - 0s 782us/step - loss: 0.5505
Epoch 55/150
153/153 [==============================] - 0s 789us/step - loss: 0.5491
Epoch 56/150
153/153 [==============================] - 0s 750us/step - loss: 0.5478
Epoch 57/150
153/153 [==============================] - 0s 750us/step - loss: 0.5470
Epoch 58/150
153/153 [==============================] - 0s 776us/step - loss: 0.5468
Epoch 59/150
153/153 [==============================] - 0s 756us/step - loss: 0.5446
Epoch 60/150
153/153 [==============================] - 0s 776us/step - loss: 0.5431
Epoch 61/150
153/153 [==============================] - 0s 795us/step - loss: 0.5436
Epoch 62/150
153/153 [==============================] - 0s 769us/step - loss: 0.5439
Epoch 63/150
153/153 [==============================] - 0s 776us/step - loss: 0.5425
Epoch 64/150
153/153 [==============================] - 0s 769us/step - loss: 0.5435
Epoch 65/150
153/153 [==============================] - 0s 750us/step - loss: 0.5408
Epoch 66/150
153/153 [==============================] - 0s 789us/step - loss: 0.5385
Epoch 67/150
153/153 [==============================] - 0s 763us/step - loss: 0.5386
Epoch 68/150
153/153 [==============================] - 0s 750us/step - loss: 0.5403
Epoch 69/150
153/153 [==============================] - 0s 776us/step - loss: 0.5393
Epoch 70/150
153/153 [==============================] - 0s 782us/step - loss: 0.5387
Epoch 71/150
153/153 [==============================] - 0s 769us/step - loss: 0.5380
Epoch 72/150
153/153 [==============================] - 0s 789us/step - loss: 0.5390
Epoch 73/150
153/153 [==============================] - 0s 769us/step - loss: 0.5363
Epoch 74/150
153/153 [==============================] - 0s 789us/step - loss: 0.5347
Epoch 75/150
153/153 [==============================] - 0s 769us/step - loss: 0.5351
Epoch 76/150
153/153 [==============================] - 0s 789us/step - loss: 0.5354
Epoch 77/150
153/153 [==============================] - 0s 769us/step - loss: 0.5365
Epoch 78/150
153/153 [==============================] - 0s 789us/step - loss: 0.5351
Epoch 79/150
153/153 [==============================] - 0s 808us/step - loss: 0.5335
Epoch 80/150
153/153 [==============================] - 0s 743us/step - loss: 0.5343
Epoch 81/150
153/153 [==============================] - 0s 782us/step - loss: 0.5315
Epoch 82/150
153/153 [==============================] - 0s 782us/step - loss: 0.5342 0s - loss: 0.515
Epoch 83/150
153/153 [==============================] - 0s 776us/step - loss: 0.5314
Epoch 84/150
153/153 [==============================] - 0s 795us/step - loss: 0.5309
Epoch 85/150
153/153 [==============================] - 0s 763us/step - loss: 0.5316
Epoch 86/150
153/153 [==============================] - 0s 776us/step - loss: 0.5298
Epoch 87/150
153/153 [==============================] - 0s 795us/step - loss: 0.5259
Epoch 88/150
153/153 [==============================] - 0s 789us/step - loss: 0.5314
Epoch 89/150
153/153 [==============================] - 0s 789us/step - loss: 0.5287
Epoch 90/150
153/153 [==============================] - 0s 756us/step - loss: 0.5292
Epoch 91/150
153/153 [==============================] - 0s 776us/step - loss: 0.5254
Epoch 92/150
153/153 [==============================] - 0s 769us/step - loss: 0.5292
Epoch 93/150
153/153 [==============================] - 0s 769us/step - loss: 0.5256
Epoch 94/150
153/153 [==============================] - 0s 782us/step - loss: 0.5267
Epoch 95/150
153/153 [==============================] - 0s 769us/step - loss: 0.5281
Epoch 96/150
153/153 [==============================] - 0s 789us/step - loss: 0.5257
Epoch 97/150
153/153 [==============================] - 0s 763us/step - loss: 0.5266
Epoch 98/150
153/153 [==============================] - 0s 795us/step - loss: 0.5282
Epoch 99/150
153/153 [==============================] - 0s 795us/step - loss: 0.5248
Epoch 100/150
153/153 [==============================] - 0s 756us/step - loss: 0.5247
Epoch 101/150
153/153 [==============================] - 0s 776us/step - loss: 0.5246
Epoch 102/150
153/153 [==============================] - 0s 795us/step - loss: 0.5227
Epoch 103/150
153/153 [==============================] - 0s 795us/step - loss: 0.5249
Epoch 104/150
153/153 [==============================] - 0s 802us/step - loss: 0.5248
Epoch 105/150
153/153 [==============================] - 0s 782us/step - loss: 0.5230
Epoch 106/150
153/153 [==============================] - 0s 750us/step - loss: 0.5234
Epoch 107/150
153/153 [==============================] - 0s 769us/step - loss: 0.5223
Epoch 108/150
153/153 [==============================] - 0s 776us/step - loss: 0.5204
Epoch 109/150
153/153 [==============================] - 0s 756us/step - loss: 0.5210
Epoch 110/150
153/153 [==============================] - 0s 795us/step - loss: 0.5219
Epoch 111/150
153/153 [==============================] - 0s 776us/step - loss: 0.5227
Epoch 112/150
153/153 [==============================] - 0s 763us/step - loss: 0.5210
Epoch 113/150
153/153 [==============================] - 0s 769us/step - loss: 0.5188
Epoch 114/150
153/153 [==============================] - 0s 795us/step - loss: 0.5214
Epoch 115/150
153/153 [==============================] - 0s 756us/step - loss: 0.5182
Epoch 116/150
153/153 [==============================] - 0s 763us/step - loss: 0.5189
Epoch 117/150
153/153 [==============================] - 0s 789us/step - loss: 0.5187
Epoch 118/150
153/153 [==============================] - 0s 769us/step - loss: 0.5188
Epoch 119/150
153/153 [==============================] - 0s 782us/step - loss: 0.5173
Epoch 120/150
153/153 [==============================] - 0s 769us/step - loss: 0.5202
Epoch 121/150
153/153 [==============================] - 0s 743us/step - loss: 0.5181
Epoch 122/150
153/153 [==============================] - ETA: 0s - loss: 0.511 - 0s 743us/step - loss: 0.5167
Epoch 123/150
153/153 [==============================] - 0s 776us/step - loss: 0.5165
Epoch 124/150
153/153 [==============================] - 0s 763us/step - loss: 0.5165
Epoch 125/150
153/153 [==============================] - 0s 776us/step - loss: 0.5163
Epoch 126/150
153/153 [==============================] - 0s 952us/step - loss: 0.5173
Epoch 127/150
153/153 [==============================] - 0s 828us/step - loss: 0.5160
Epoch 128/150
153/153 [==============================] - 0s 769us/step - loss: 0.5159
Epoch 129/150
153/153 [==============================] - 0s 763us/step - loss: 0.5166
Epoch 130/150
153/153 [==============================] - 0s 763us/step - loss: 0.5157
Epoch 131/150
153/153 [==============================] - 0s 789us/step - loss: 0.5137
Epoch 132/150
153/153 [==============================] - 0s 750us/step - loss: 0.5143
Epoch 133/150
153/153 [==============================] - 0s 737us/step - loss: 0.5166
Epoch 134/150
153/153 [==============================] - 0s 737us/step - loss: 0.5153
Epoch 135/150
153/153 [==============================] - 0s 750us/step - loss: 0.5154
Epoch 136/150
153/153 [==============================] - 0s 743us/step - loss: 0.5162
Epoch 137/150
153/153 [==============================] - 0s 763us/step - loss: 0.5140
Epoch 138/150
153/153 [==============================] - 0s 756us/step - loss: 0.5155
Epoch 139/150
153/153 [==============================] - 0s 737us/step - loss: 0.5129
Epoch 140/150
153/153 [==============================] - 0s 769us/step - loss: 0.5141
Epoch 141/150
153/153 [==============================] - 0s 743us/step - loss: 0.5138
Epoch 142/150
153/153 [==============================] - 0s 769us/step - loss: 0.5129
Epoch 143/150
153/153 [==============================] - 0s 763us/step - loss: 0.5115
Epoch 144/150
153/153 [==============================] - 0s 743us/step - loss: 0.5116
Epoch 145/150
153/153 [==============================] - 0s 737us/step - loss: 0.5106
Epoch 146/150
153/153 [==============================] - 0s 763us/step - loss: 0.5099
Epoch 147/150
153/153 [==============================] - 0s 756us/step - loss: 0.5134
Epoch 148/150
153/153 [==============================] - 0s 730us/step - loss: 0.5127
Epoch 149/150
153/153 [==============================] - 0s 776us/step - loss: 0.5093
Epoch 150/150
153/153 [==============================] - 0s 795us/step - loss: 0.5089
###################################################################### Accuracy: 68.21901303149721
Epoch 1/150
153/153 [==============================] - 0s 776us/step - loss: 0.9629
Epoch 2/150
153/153 [==============================] - 0s 776us/step - loss: 0.8524
Epoch 3/150
153/153 [==============================] - 0s 756us/step - loss: 0.7055
Epoch 4/150
153/153 [==============================] - 0s 789us/step - loss: 0.6402
Epoch 5/150
153/153 [==============================] - 0s 795us/step - loss: 0.6259
Epoch 6/150
153/153 [==============================] - 0s 776us/step - loss: 0.6192
Epoch 7/150
153/153 [==============================] - 0s 789us/step - loss: 0.6144
Epoch 8/150
153/153 [==============================] - 0s 776us/step - loss: 0.6095
Epoch 9/150
153/153 [==============================] - 0s 795us/step - loss: 0.6060
Epoch 10/150
153/153 [==============================] - 0s 802us/step - loss: 0.6005
Epoch 11/150
153/153 [==============================] - 0s 782us/step - loss: 0.5976
Epoch 12/150
153/153 [==============================] - 0s 795us/step - loss: 0.5937
Epoch 13/150
153/153 [==============================] - 0s 782us/step - loss: 0.5916
Epoch 14/150
153/153 [==============================] - 0s 782us/step - loss: 0.5901
Epoch 15/150
153/153 [==============================] - 0s 763us/step - loss: 0.5878
Epoch 16/150
153/153 [==============================] - 0s 782us/step - loss: 0.5863
Epoch 17/150
153/153 [==============================] - 0s 795us/step - loss: 0.5829
Epoch 18/150
153/153 [==============================] - 0s 789us/step - loss: 0.5822
Epoch 19/150
153/153 [==============================] - 0s 756us/step - loss: 0.5800
Epoch 20/150
153/153 [==============================] - 0s 769us/step - loss: 0.5787
Epoch 21/150
153/153 [==============================] - 0s 743us/step - loss: 0.5762
Epoch 22/150
153/153 [==============================] - 0s 802us/step - loss: 0.5738
Epoch 23/150
153/153 [==============================] - 0s 756us/step - loss: 0.5745
Epoch 24/150
153/153 [==============================] - 0s 782us/step - loss: 0.5724
Epoch 25/150
153/153 [==============================] - 0s 763us/step - loss: 0.5698
Epoch 26/150
153/153 [==============================] - 0s 789us/step - loss: 0.5680
Epoch 27/150
153/153 [==============================] - 0s 782us/step - loss: 0.5687
Epoch 28/150
153/153 [==============================] - 0s 782us/step - loss: 0.5674
Epoch 29/150
153/153 [==============================] - 0s 789us/step - loss: 0.5653
Epoch 30/150
153/153 [==============================] - 0s 795us/step - loss: 0.5652
Epoch 31/150
153/153 [==============================] - 0s 763us/step - loss: 0.5635
Epoch 32/150
153/153 [==============================] - 0s 776us/step - loss: 0.5643
Epoch 33/150
153/153 [==============================] - 0s 795us/step - loss: 0.5631
Epoch 34/150
153/153 [==============================] - 0s 730us/step - loss: 0.5633
Epoch 35/150
153/153 [==============================] - 0s 776us/step - loss: 0.5627
Epoch 36/150
153/153 [==============================] - 0s 782us/step - loss: 0.5627
Epoch 37/150
153/153 [==============================] - 0s 750us/step - loss: 0.5617
Epoch 38/150
153/153 [==============================] - 0s 756us/step - loss: 0.5611
Epoch 39/150
153/153 [==============================] - 0s 763us/step - loss: 0.5605
Epoch 40/150
153/153 [==============================] - 0s 782us/step - loss: 0.5600
Epoch 41/150
153/153 [==============================] - 0s 782us/step - loss: 0.5600
Epoch 42/150
153/153 [==============================] - 0s 795us/step - loss: 0.5578
Epoch 43/150
153/153 [==============================] - 0s 737us/step - loss: 0.5573
Epoch 44/150
153/153 [==============================] - 0s 769us/step - loss: 0.5571
Epoch 45/150
153/153 [==============================] - 0s 756us/step - loss: 0.5575
Epoch 46/150
153/153 [==============================] - 0s 743us/step - loss: 0.5572
Epoch 47/150
153/153 [==============================] - 0s 756us/step - loss: 0.5560
Epoch 48/150
153/153 [==============================] - 0s 763us/step - loss: 0.5554
Epoch 49/150
153/153 [==============================] - 0s 769us/step - loss: 0.5548
Epoch 50/150
153/153 [==============================] - 0s 769us/step - loss: 0.5544
Epoch 51/150
153/153 [==============================] - 0s 763us/step - loss: 0.5531
Epoch 52/150
153/153 [==============================] - 0s 782us/step - loss: 0.5527
Epoch 53/150
153/153 [==============================] - 0s 795us/step - loss: 0.5527
Epoch 54/150
153/153 [==============================] - 0s 769us/step - loss: 0.5499
Epoch 55/150
153/153 [==============================] - 0s 763us/step - loss: 0.5502
Epoch 56/150
153/153 [==============================] - 0s 782us/step - loss: 0.5508
Epoch 57/150
153/153 [==============================] - 0s 789us/step - loss: 0.5496
Epoch 58/150
153/153 [==============================] - 0s 776us/step - loss: 0.5493
Epoch 59/150
153/153 [==============================] - 0s 737us/step - loss: 0.5473
Epoch 60/150
153/153 [==============================] - 0s 743us/step - loss: 0.5464
Epoch 61/150
153/153 [==============================] - 0s 782us/step - loss: 0.5462
Epoch 62/150
153/153 [==============================] - 0s 763us/step - loss: 0.5447
Epoch 63/150
153/153 [==============================] - 0s 730us/step - loss: 0.5437
Epoch 64/150
153/153 [==============================] - 0s 782us/step - loss: 0.5424
Epoch 65/150
153/153 [==============================] - 0s 776us/step - loss: 0.5432
Epoch 66/150
153/153 [==============================] - 0s 763us/step - loss: 0.5434
Epoch 67/150
153/153 [==============================] - 0s 776us/step - loss: 0.5430
Epoch 68/150
153/153 [==============================] - 0s 763us/step - loss: 0.5396
Epoch 69/150
153/153 [==============================] - 0s 763us/step - loss: 0.5419
Epoch 70/150
153/153 [==============================] - 0s 776us/step - loss: 0.5399
Epoch 71/150
153/153 [==============================] - 0s 743us/step - loss: 0.5383
Epoch 72/150
153/153 [==============================] - 0s 769us/step - loss: 0.5378
Epoch 73/150
153/153 [==============================] - 0s 724us/step - loss: 0.5388
Epoch 74/150
153/153 [==============================] - 0s 737us/step - loss: 0.5367
Epoch 75/150
153/153 [==============================] - 0s 763us/step - loss: 0.5371
Epoch 76/150
153/153 [==============================] - 0s 750us/step - loss: 0.5373
Epoch 77/150
153/153 [==============================] - 0s 763us/step - loss: 0.5361
Epoch 78/150
153/153 [==============================] - 0s 724us/step - loss: 0.5362
Epoch 79/150
153/153 [==============================] - 0s 763us/step - loss: 0.5348
Epoch 80/150
153/153 [==============================] - 0s 750us/step - loss: 0.5339
Epoch 81/150
153/153 [==============================] - 0s 763us/step - loss: 0.5345
Epoch 82/150
153/153 [==============================] - 0s 763us/step - loss: 0.5328
Epoch 83/150
153/153 [==============================] - 0s 730us/step - loss: 0.5319
Epoch 84/150
153/153 [==============================] - 0s 769us/step - loss: 0.5341
Epoch 85/150
153/153 [==============================] - 0s 769us/step - loss: 0.5310
Epoch 86/150
153/153 [==============================] - 0s 763us/step - loss: 0.5327
Epoch 87/150
153/153 [==============================] - 0s 776us/step - loss: 0.5299
Epoch 88/150
153/153 [==============================] - 0s 750us/step - loss: 0.5299
Epoch 89/150
153/153 [==============================] - 0s 776us/step - loss: 0.5302
Epoch 90/150
153/153 [==============================] - 0s 763us/step - loss: 0.5317
Epoch 91/150
153/153 [==============================] - 0s 756us/step - loss: 0.5287
Epoch 92/150
153/153 [==============================] - 0s 737us/step - loss: 0.5276
Epoch 93/150
153/153 [==============================] - 0s 750us/step - loss: 0.5290
Epoch 94/150
153/153 [==============================] - 0s 763us/step - loss: 0.5294
Epoch 95/150
153/153 [==============================] - 0s 756us/step - loss: 0.5280
Epoch 96/150
153/153 [==============================] - 0s 776us/step - loss: 0.5255
Epoch 97/150
153/153 [==============================] - 0s 750us/step - loss: 0.5236
Epoch 98/150
153/153 [==============================] - 0s 743us/step - loss: 0.5268
Epoch 99/150
153/153 [==============================] - 0s 763us/step - loss: 0.5255
Epoch 100/150
153/153 [==============================] - 0s 769us/step - loss: 0.5239
Epoch 101/150
153/153 [==============================] - 0s 756us/step - loss: 0.5251
Epoch 102/150
153/153 [==============================] - 0s 756us/step - loss: 0.5242
Epoch 103/150
153/153 [==============================] - 0s 763us/step - loss: 0.5232
Epoch 104/150
153/153 [==============================] - 0s 782us/step - loss: 0.5237
Epoch 105/150
153/153 [==============================] - 0s 776us/step - loss: 0.5253
Epoch 106/150
153/153 [==============================] - 0s 743us/step - loss: 0.5241
Epoch 107/150
153/153 [==============================] - 0s 789us/step - loss: 0.5223
Epoch 108/150
153/153 [==============================] - 0s 769us/step - loss: 0.5224
Epoch 109/150
153/153 [==============================] - 0s 756us/step - loss: 0.5217
Epoch 110/150
153/153 [==============================] - 0s 750us/step - loss: 0.5215
Epoch 111/150
153/153 [==============================] - 0s 750us/step - loss: 0.5209
Epoch 112/150
153/153 [==============================] - 0s 776us/step - loss: 0.5191
Epoch 113/150
153/153 [==============================] - 0s 763us/step - loss: 0.5210
Epoch 114/150
153/153 [==============================] - 0s 769us/step - loss: 0.5218
Epoch 115/150
153/153 [==============================] - 0s 776us/step - loss: 0.5211
Epoch 116/150
153/153 [==============================] - 0s 776us/step - loss: 0.5190
Epoch 117/150
153/153 [==============================] - 0s 769us/step - loss: 0.5130
Epoch 118/150
153/153 [==============================] - 0s 828us/step - loss: 0.5210
Epoch 119/150
153/153 [==============================] - 0s 737us/step - loss: 0.5193
Epoch 120/150
153/153 [==============================] - 0s 789us/step - loss: 0.5212
Epoch 121/150
153/153 [==============================] - 0s 776us/step - loss: 0.5199
Epoch 122/150
153/153 [==============================] - 0s 782us/step - loss: 0.5198
Epoch 123/150
153/153 [==============================] - 0s 737us/step - loss: 0.5174
Epoch 124/150
153/153 [==============================] - 0s 750us/step - loss: 0.5199
Epoch 125/150
153/153 [==============================] - 0s 763us/step - loss: 0.5187
Epoch 126/150
153/153 [==============================] - 0s 724us/step - loss: 0.5146
Epoch 127/150
153/153 [==============================] - 0s 756us/step - loss: 0.5176
Epoch 128/150
153/153 [==============================] - 0s 769us/step - loss: 0.5180
Epoch 129/150
153/153 [==============================] - 0s 769us/step - loss: 0.5183
Epoch 130/150
153/153 [==============================] - 0s 789us/step - loss: 0.5158
Epoch 131/150
153/153 [==============================] - 0s 724us/step - loss: 0.5171
Epoch 132/150
153/153 [==============================] - 0s 743us/step - loss: 0.5174
Epoch 133/150
153/153 [==============================] - 0s 724us/step - loss: 0.5181
Epoch 134/150
153/153 [==============================] - 0s 750us/step - loss: 0.5167
Epoch 135/150
153/153 [==============================] - 0s 763us/step - loss: 0.5151
Epoch 136/150
153/153 [==============================] - 0s 737us/step - loss: 0.5158
Epoch 137/150
153/153 [==============================] - 0s 763us/step - loss: 0.5168
Epoch 138/150
153/153 [==============================] - 0s 756us/step - loss: 0.5154
Epoch 139/150
153/153 [==============================] - 0s 769us/step - loss: 0.5163
Epoch 140/150
153/153 [==============================] - 0s 756us/step - loss: 0.5143
Epoch 141/150
153/153 [==============================] - 0s 743us/step - loss: 0.5130
Epoch 142/150
153/153 [==============================] - 0s 776us/step - loss: 0.5172
Epoch 143/150
153/153 [==============================] - ETA: 0s - loss: 0.510 - 0s 750us/step - loss: 0.5152
Epoch 144/150
153/153 [==============================] - 0s 750us/step - loss: 0.5150
Epoch 145/150
153/153 [==============================] - 0s 782us/step - loss: 0.5119
Epoch 146/150
153/153 [==============================] - 0s 756us/step - loss: 0.5140
Epoch 147/150
153/153 [==============================] - 0s 802us/step - loss: 0.5144
Epoch 148/150
153/153 [==============================] - 0s 756us/step - loss: 0.5126
Epoch 149/150
153/153 [==============================] - 0s 743us/step - loss: 0.5145
Epoch 150/150
153/153 [==============================] - 0s 776us/step - loss: 0.5120
###################################################################### Accuracy: 94.89521476328589
Epoch 1/150
153/153 [==============================] - 0s 807us/step - loss: 1.0075
Epoch 2/150
153/153 [==============================] - 0s 756us/step - loss: 0.9089
Epoch 3/150
153/153 [==============================] - 0s 756us/step - loss: 0.7742
Epoch 4/150
153/153 [==============================] - 0s 782us/step - loss: 0.6984
Epoch 5/150
153/153 [==============================] - 0s 795us/step - loss: 0.6597
Epoch 6/150
153/153 [==============================] - 0s 750us/step - loss: 0.6499
Epoch 7/150
153/153 [==============================] - 0s 763us/step - loss: 0.6403
Epoch 8/150
153/153 [==============================] - 0s 802us/step - loss: 0.6344
Epoch 9/150
153/153 [==============================] - 0s 808us/step - loss: 0.6292
Epoch 10/150
153/153 [==============================] - 0s 750us/step - loss: 0.6255
Epoch 11/150
153/153 [==============================] - 0s 756us/step - loss: 0.6200
Epoch 12/150
153/153 [==============================] - 0s 776us/step - loss: 0.6177
Epoch 13/150
153/153 [==============================] - 0s 795us/step - loss: 0.6159
Epoch 14/150
153/153 [==============================] - 0s 750us/step - loss: 0.6132
Epoch 15/150
153/153 [==============================] - 0s 750us/step - loss: 0.6103
Epoch 16/150
153/153 [==============================] - 0s 756us/step - loss: 0.6096
Epoch 17/150
153/153 [==============================] - 0s 769us/step - loss: 0.6064
Epoch 18/150
153/153 [==============================] - 0s 763us/step - loss: 0.6058
Epoch 19/150
153/153 [==============================] - 0s 776us/step - loss: 0.6024
Epoch 20/150
153/153 [==============================] - 0s 763us/step - loss: 0.6013
Epoch 21/150
153/153 [==============================] - 0s 776us/step - loss: 0.6001
Epoch 22/150
153/153 [==============================] - 0s 737us/step - loss: 0.5984
Epoch 23/150
153/153 [==============================] - 0s 782us/step - loss: 0.5979
Epoch 24/150
153/153 [==============================] - 0s 743us/step - loss: 0.5967
Epoch 25/150
153/153 [==============================] - 0s 802us/step - loss: 0.5946
Epoch 26/150
153/153 [==============================] - 0s 763us/step - loss: 0.5916
Epoch 27/150
153/153 [==============================] - 0s 730us/step - loss: 0.5913
Epoch 28/150
153/153 [==============================] - 0s 750us/step - loss: 0.5900
Epoch 29/150
153/153 [==============================] - 0s 717us/step - loss: 0.5862
Epoch 30/150
153/153 [==============================] - 0s 782us/step - loss: 0.5871
Epoch 31/150
153/153 [==============================] - 0s 802us/step - loss: 0.5857
Epoch 32/150
153/153 [==============================] - 0s 750us/step - loss: 0.5855
Epoch 33/150
153/153 [==============================] - 0s 743us/step - loss: 0.5842
Epoch 34/150
153/153 [==============================] - 0s 789us/step - loss: 0.5821
Epoch 35/150
153/153 [==============================] - 0s 763us/step - loss: 0.5805
Epoch 36/150
153/153 [==============================] - 0s 750us/step - loss: 0.5818
Epoch 37/150
153/153 [==============================] - 0s 815us/step - loss: 0.5779
Epoch 38/150
153/153 [==============================] - 0s 782us/step - loss: 0.5755
Epoch 39/150
153/153 [==============================] - 0s 789us/step - loss: 0.5786
Epoch 40/150
153/153 [==============================] - 0s 782us/step - loss: 0.5782
Epoch 41/150
153/153 [==============================] - 0s 776us/step - loss: 0.5769
Epoch 42/150
153/153 [==============================] - 0s 763us/step - loss: 0.5741
Epoch 43/150
153/153 [==============================] - 0s 769us/step - loss: 0.5758
Epoch 44/150
153/153 [==============================] - 0s 789us/step - loss: 0.5738
Epoch 45/150
153/153 [==============================] - 0s 776us/step - loss: 0.5762
Epoch 46/150
153/153 [==============================] - 0s 782us/step - loss: 0.5765
Epoch 47/150
153/153 [==============================] - 0s 769us/step - loss: 0.5746
Epoch 48/150
153/153 [==============================] - 0s 795us/step - loss: 0.5736
Epoch 49/150
153/153 [==============================] - 0s 795us/step - loss: 0.5720
Epoch 50/150
153/153 [==============================] - 0s 776us/step - loss: 0.5723
Epoch 51/150
153/153 [==============================] - 0s 769us/step - loss: 0.5715
Epoch 52/150
153/153 [==============================] - 0s 880us/step - loss: 0.5734
Epoch 53/150
153/153 [==============================] - 0s 1ms/step - loss: 0.5729
Epoch 54/150
153/153 [==============================] - 0s 756us/step - loss: 0.5697
Epoch 55/150
153/153 [==============================] - 0s 717us/step - loss: 0.5714
Epoch 56/150
153/153 [==============================] - 0s 658us/step - loss: 0.5721
Epoch 57/150
153/153 [==============================] - 0s 671us/step - loss: 0.5705
Epoch 58/150
153/153 [==============================] - 0s 632us/step - loss: 0.5688
Epoch 59/150
153/153 [==============================] - 0s 606us/step - loss: 0.5700
Epoch 60/150
153/153 [==============================] - 0s 658us/step - loss: 0.5711
Epoch 61/150
153/153 [==============================] - 0s 652us/step - loss: 0.5671
Epoch 62/150
153/153 [==============================] - 0s 900us/step - loss: 0.5699
Epoch 63/150
153/153 [==============================] - 0s 991us/step - loss: 0.5681
Epoch 64/150
153/153 [==============================] - 0s 776us/step - loss: 0.5683
Epoch 65/150
153/153 [==============================] - 0s 750us/step - loss: 0.5703
Epoch 66/150
153/153 [==============================] - 0s 815us/step - loss: 0.5681
Epoch 67/150
153/153 [==============================] - 0s 756us/step - loss: 0.5681
Epoch 68/150
153/153 [==============================] - 0s 776us/step - loss: 0.5673
Epoch 69/150
153/153 [==============================] - 0s 802us/step - loss: 0.5658
Epoch 70/150
153/153 [==============================] - 0s 821us/step - loss: 0.5654
Epoch 71/150
153/153 [==============================] - 0s 756us/step - loss: 0.5664
Epoch 72/150
153/153 [==============================] - 0s 795us/step - loss: 0.5669
Epoch 73/150
153/153 [==============================] - 0s 789us/step - loss: 0.5625
Epoch 74/150
153/153 [==============================] - 0s 795us/step - loss: 0.5653
Epoch 75/150
153/153 [==============================] - 0s 782us/step - loss: 0.5646
Epoch 76/150
153/153 [==============================] - 0s 789us/step - loss: 0.5665
Epoch 77/150
153/153 [==============================] - 0s 789us/step - loss: 0.5644
Epoch 78/150
153/153 [==============================] - 0s 776us/step - loss: 0.5627
Epoch 79/150
153/153 [==============================] - 0s 789us/step - loss: 0.5639
Epoch 80/150
153/153 [==============================] - 0s 782us/step - loss: 0.5625
Epoch 81/150
153/153 [==============================] - 0s 756us/step - loss: 0.5631
Epoch 82/150
153/153 [==============================] - 0s 756us/step - loss: 0.5601
Epoch 83/150
153/153 [==============================] - 0s 769us/step - loss: 0.5636
Epoch 84/150
153/153 [==============================] - 0s 756us/step - loss: 0.5613
Epoch 85/150
153/153 [==============================] - 0s 795us/step - loss: 0.5625
Epoch 86/150
153/153 [==============================] - 0s 808us/step - loss: 0.5606
Epoch 87/150
153/153 [==============================] - 0s 737us/step - loss: 0.5604
Epoch 88/150
153/153 [==============================] - 0s 750us/step - loss: 0.5601
Epoch 89/150
153/153 [==============================] - 0s 795us/step - loss: 0.5611
Epoch 90/150
153/153 [==============================] - 0s 769us/step - loss: 0.5588
Epoch 91/150
153/153 [==============================] - 0s 782us/step - loss: 0.5592
Epoch 92/150
153/153 [==============================] - 0s 808us/step - loss: 0.5607
Epoch 93/150
153/153 [==============================] - 0s 763us/step - loss: 0.5606
Epoch 94/150
153/153 [==============================] - 0s 782us/step - loss: 0.5594
Epoch 95/150
153/153 [==============================] - 0s 782us/step - loss: 0.5573
Epoch 96/150
153/153 [==============================] - 0s 776us/step - loss: 0.5609
Epoch 97/150
153/153 [==============================] - 0s 789us/step - loss: 0.5585
Epoch 98/150
153/153 [==============================] - 0s 815us/step - loss: 0.5549
Epoch 99/150
153/153 [==============================] - 0s 763us/step - loss: 0.5572
Epoch 100/150
153/153 [==============================] - 0s 776us/step - loss: 0.5585
Epoch 101/150
153/153 [==============================] - 0s 743us/step - loss: 0.5570
Epoch 102/150
153/153 [==============================] - 0s 789us/step - loss: 0.5577
Epoch 103/150
153/153 [==============================] - 0s 802us/step - loss: 0.5586
Epoch 104/150
153/153 [==============================] - 0s 776us/step - loss: 0.5573
Epoch 105/150
153/153 [==============================] - 0s 743us/step - loss: 0.5579
Epoch 106/150
153/153 [==============================] - 0s 815us/step - loss: 0.5567
Epoch 107/150
153/153 [==============================] - 0s 860us/step - loss: 0.5568
Epoch 108/150
153/153 [==============================] - 0s 808us/step - loss: 0.5540
Epoch 109/150
153/153 [==============================] - 0s 789us/step - loss: 0.5551
Epoch 110/150
153/153 [==============================] - 0s 763us/step - loss: 0.5518
Epoch 111/150
153/153 [==============================] - 0s 763us/step - loss: 0.5567
Epoch 112/150
153/153 [==============================] - 0s 743us/step - loss: 0.5544
Epoch 113/150
153/153 [==============================] - 0s 756us/step - loss: 0.5522
Epoch 114/150
153/153 [==============================] - 0s 769us/step - loss: 0.5562
Epoch 115/150
153/153 [==============================] - 0s 782us/step - loss: 0.5546
Epoch 116/150
153/153 [==============================] - 0s 776us/step - loss: 0.5529
Epoch 117/150
153/153 [==============================] - 0s 750us/step - loss: 0.5522
Epoch 118/150
153/153 [==============================] - 0s 750us/step - loss: 0.5553
Epoch 119/150
153/153 [==============================] - 0s 750us/step - loss: 0.5513
Epoch 120/150
153/153 [==============================] - 0s 763us/step - loss: 0.5506
Epoch 121/150
153/153 [==============================] - 0s 750us/step - loss: 0.5528
Epoch 122/150
153/153 [==============================] - 0s 743us/step - loss: 0.5511
Epoch 123/150
153/153 [==============================] - 0s 763us/step - loss: 0.5509
Epoch 124/150
153/153 [==============================] - 0s 763us/step - loss: 0.5504
Epoch 125/150
153/153 [==============================] - 0s 743us/step - loss: 0.5503
Epoch 126/150
153/153 [==============================] - 0s 763us/step - loss: 0.5507
Epoch 127/150
153/153 [==============================] - 0s 763us/step - loss: 0.5506
Epoch 128/150
153/153 [==============================] - 0s 789us/step - loss: 0.5512
Epoch 129/150
153/153 [==============================] - 0s 769us/step - loss: 0.5480
Epoch 130/150
153/153 [==============================] - 0s 802us/step - loss: 0.5506
Epoch 131/150
153/153 [==============================] - 0s 795us/step - loss: 0.5502
Epoch 132/150
153/153 [==============================] - 0s 769us/step - loss: 0.5485
Epoch 133/150
153/153 [==============================] - 0s 750us/step - loss: 0.5495
Epoch 134/150
153/153 [==============================] - 0s 763us/step - loss: 0.5489
Epoch 135/150
153/153 [==============================] - 0s 769us/step - loss: 0.5488
Epoch 136/150
153/153 [==============================] - 0s 808us/step - loss: 0.5486
Epoch 137/150
153/153 [==============================] - 0s 737us/step - loss: 0.5474
Epoch 138/150
153/153 [==============================] - 0s 847us/step - loss: 0.5500
Epoch 139/150
153/153 [==============================] - 0s 769us/step - loss: 0.5491
Epoch 140/150
153/153 [==============================] - 0s 756us/step - loss: 0.5480
Epoch 141/150
153/153 [==============================] - 0s 750us/step - loss: 0.5484
Epoch 142/150
153/153 [==============================] - 0s 782us/step - loss: 0.5475
Epoch 143/150
153/153 [==============================] - 0s 769us/step - loss: 0.5494
Epoch 144/150
153/153 [==============================] - 0s 789us/step - loss: 0.5475
Epoch 145/150
153/153 [==============================] - 0s 802us/step - loss: 0.5472
Epoch 146/150
153/153 [==============================] - 0s 802us/step - loss: 0.5450
Epoch 147/150
153/153 [==============================] - 0s 808us/step - loss: 0.5464
Epoch 148/150
153/153 [==============================] - 0s 795us/step - loss: 0.5460
Epoch 149/150
153/153 [==============================] - 0s 769us/step - loss: 0.5473
Epoch 150/150
153/153 [==============================] - 0s 769us/step - loss: 0.5478
###################################################################### Accuracy: 75.82001118055129
Epoch 1/150
153/153 [==============================] - 0s 795us/step - loss: 0.9795
Epoch 2/150
153/153 [==============================] - 0s 743us/step - loss: 0.8548
Epoch 3/150
153/153 [==============================] - 0s 782us/step - loss: 0.7109
Epoch 4/150
153/153 [==============================] - 0s 789us/step - loss: 0.6581
Epoch 5/150
153/153 [==============================] - 0s 776us/step - loss: 0.6466
Epoch 6/150
153/153 [==============================] - 0s 776us/step - loss: 0.6377
Epoch 7/150
153/153 [==============================] - 0s 795us/step - loss: 0.6309
Epoch 8/150
153/153 [==============================] - 0s 789us/step - loss: 0.6247
Epoch 9/150
153/153 [==============================] - 0s 802us/step - loss: 0.6180
Epoch 10/150
153/153 [==============================] - 0s 769us/step - loss: 0.6124
Epoch 11/150
153/153 [==============================] - 0s 763us/step - loss: 0.6083
Epoch 12/150
153/153 [==============================] - 0s 769us/step - loss: 0.6040
Epoch 13/150
153/153 [==============================] - 0s 802us/step - loss: 0.5988
Epoch 14/150
153/153 [==============================] - 0s 769us/step - loss: 0.5946
Epoch 15/150
153/153 [==============================] - 0s 776us/step - loss: 0.5908
Epoch 16/150
153/153 [==============================] - 0s 802us/step - loss: 0.5886
Epoch 17/150
153/153 [==============================] - 0s 789us/step - loss: 0.5831
Epoch 18/150
153/153 [==============================] - 0s 789us/step - loss: 0.5841
Epoch 19/150
153/153 [==============================] - 0s 782us/step - loss: 0.5824
Epoch 20/150
153/153 [==============================] - 0s 769us/step - loss: 0.5827
Epoch 21/150
153/153 [==============================] - 0s 802us/step - loss: 0.5779
Epoch 22/150
153/153 [==============================] - 0s 769us/step - loss: 0.5788
Epoch 23/150
153/153 [==============================] - 0s 795us/step - loss: 0.5773
Epoch 24/150
153/153 [==============================] - 0s 776us/step - loss: 0.5755
Epoch 25/150
153/153 [==============================] - 0s 763us/step - loss: 0.5758
Epoch 26/150
153/153 [==============================] - 0s 763us/step - loss: 0.5717
Epoch 27/150
153/153 [==============================] - 0s 776us/step - loss: 0.5721
Epoch 28/150
153/153 [==============================] - 0s 756us/step - loss: 0.5702
Epoch 29/150
153/153 [==============================] - 0s 795us/step - loss: 0.5681
Epoch 30/150
153/153 [==============================] - 0s 789us/step - loss: 0.5669
Epoch 31/150
153/153 [==============================] - 0s 782us/step - loss: 0.5656
Epoch 32/150
153/153 [==============================] - 0s 991us/step - loss: 0.5644
Epoch 33/150
153/153 [==============================] - 0s 860us/step - loss: 0.5654
Epoch 34/150
153/153 [==============================] - 0s 802us/step - loss: 0.5634
Epoch 35/150
153/153 [==============================] - 0s 776us/step - loss: 0.5636
Epoch 36/150
153/153 [==============================] - 0s 776us/step - loss: 0.5619
Epoch 37/150
153/153 [==============================] - 0s 756us/step - loss: 0.5575
Epoch 38/150
153/153 [==============================] - 0s 906us/step - loss: 0.5627
Epoch 39/150
153/153 [==============================] - 0s 867us/step - loss: 0.5620
Epoch 40/150
153/153 [==============================] - 0s 821us/step - loss: 0.5599
Epoch 41/150
153/153 [==============================] - 0s 756us/step - loss: 0.5590
Epoch 42/150
153/153 [==============================] - 0s 769us/step - loss: 0.5604
Epoch 43/150
153/153 [==============================] - 0s 743us/step - loss: 0.5594
Epoch 44/150
153/153 [==============================] - 0s 769us/step - loss: 0.5597
Epoch 45/150
153/153 [==============================] - 0s 782us/step - loss: 0.5587
Epoch 46/150
153/153 [==============================] - 0s 789us/step - loss: 0.5578
Epoch 47/150
153/153 [==============================] - 0s 802us/step - loss: 0.5577
Epoch 48/150
153/153 [==============================] - 0s 776us/step - loss: 0.5532
Epoch 49/150
153/153 [==============================] - 0s 750us/step - loss: 0.5589
Epoch 50/150
153/153 [==============================] - 0s 782us/step - loss: 0.5564
Epoch 51/150
153/153 [==============================] - 0s 756us/step - loss: 0.5564
Epoch 52/150
153/153 [==============================] - 0s 795us/step - loss: 0.5555
Epoch 53/150
153/153 [==============================] - 0s 795us/step - loss: 0.5546
Epoch 54/150
153/153 [==============================] - 0s 756us/step - loss: 0.5558
Epoch 55/150
153/153 [==============================] - 0s 782us/step - loss: 0.5545
Epoch 56/150
153/153 [==============================] - 0s 756us/step - loss: 0.5545
Epoch 57/150
153/153 [==============================] - ETA: 0s - loss: 0.551 - 0s 776us/step - loss: 0.5534
Epoch 58/150
153/153 [==============================] - 0s 789us/step - loss: 0.5542
Epoch 59/150
153/153 [==============================] - 0s 756us/step - loss: 0.5527
Epoch 60/150
153/153 [==============================] - 0s 782us/step - loss: 0.5538
Epoch 61/150
153/153 [==============================] - 0s 782us/step - loss: 0.5516
Epoch 62/150
153/153 [==============================] - 0s 808us/step - loss: 0.5515
Epoch 63/150
153/153 [==============================] - 0s 789us/step - loss: 0.5495
Epoch 64/150
153/153 [==============================] - 0s 769us/step - loss: 0.5512
Epoch 65/150
153/153 [==============================] - 0s 782us/step - loss: 0.5515
Epoch 66/150
153/153 [==============================] - 0s 782us/step - loss: 0.5513
Epoch 67/150
153/153 [==============================] - 0s 756us/step - loss: 0.5509
Epoch 68/150
153/153 [==============================] - 0s 789us/step - loss: 0.5519
Epoch 69/150
153/153 [==============================] - 0s 808us/step - loss: 0.5511
Epoch 70/150
153/153 [==============================] - 0s 743us/step - loss: 0.5487
Epoch 71/150
153/153 [==============================] - 0s 802us/step - loss: 0.5496
Epoch 72/150
153/153 [==============================] - 0s 795us/step - loss: 0.5484
Epoch 73/150
153/153 [==============================] - 0s 815us/step - loss: 0.5493
Epoch 74/150
153/153 [==============================] - 0s 802us/step - loss: 0.5492
Epoch 75/150
153/153 [==============================] - 0s 769us/step - loss: 0.5477
Epoch 76/150
153/153 [==============================] - 0s 763us/step - loss: 0.5489
Epoch 77/150
153/153 [==============================] - 0s 782us/step - loss: 0.5480
Epoch 78/150
153/153 [==============================] - 0s 795us/step - loss: 0.5457
Epoch 79/150
153/153 [==============================] - 0s 776us/step - loss: 0.5479
Epoch 80/150
153/153 [==============================] - 0s 763us/step - loss: 0.5482
Epoch 81/150
153/153 [==============================] - 0s 789us/step - loss: 0.5455
Epoch 82/150
153/153 [==============================] - 0s 776us/step - loss: 0.5468
Epoch 83/150
153/153 [==============================] - 0s 776us/step - loss: 0.5452
Epoch 84/150
153/153 [==============================] - 0s 789us/step - loss: 0.5463
Epoch 85/150
153/153 [==============================] - 0s 782us/step - loss: 0.5438
Epoch 86/150
153/153 [==============================] - 0s 802us/step - loss: 0.5468 0s - loss: 0.547
Epoch 87/150
153/153 [==============================] - 0s 795us/step - loss: 0.5455
Epoch 88/150
153/153 [==============================] - 0s 769us/step - loss: 0.5458
Epoch 89/150
153/153 [==============================] - 0s 795us/step - loss: 0.5452
Epoch 90/150
153/153 [==============================] - 0s 769us/step - loss: 0.5455
Epoch 91/150
153/153 [==============================] - 0s 795us/step - loss: 0.5464
Epoch 92/150
153/153 [==============================] - 0s 815us/step - loss: 0.5429
Epoch 93/150
153/153 [==============================] - 0s 789us/step - loss: 0.5436
Epoch 94/150
153/153 [==============================] - 0s 769us/step - loss: 0.5453
Epoch 95/150
153/153 [==============================] - 0s 756us/step - loss: 0.5451
Epoch 96/150
153/153 [==============================] - 0s 789us/step - loss: 0.5422
Epoch 97/150
153/153 [==============================] - 0s 776us/step - loss: 0.5456
Epoch 98/150
153/153 [==============================] - 0s 776us/step - loss: 0.5449
Epoch 99/150
153/153 [==============================] - 0s 795us/step - loss: 0.5442
Epoch 100/150
153/153 [==============================] - 0s 756us/step - loss: 0.5414
Epoch 101/150
153/153 [==============================] - 0s 776us/step - loss: 0.5434
Epoch 102/150
153/153 [==============================] - 0s 808us/step - loss: 0.5439
Epoch 103/150
153/153 [==============================] - 0s 795us/step - loss: 0.5423
Epoch 104/150
153/153 [==============================] - 0s 789us/step - loss: 0.5420
Epoch 105/150
153/153 [==============================] - 0s 763us/step - loss: 0.5421
Epoch 106/150
153/153 [==============================] - 0s 769us/step - loss: 0.5405
Epoch 107/150
153/153 [==============================] - 0s 776us/step - loss: 0.5403
Epoch 108/150
153/153 [==============================] - 0s 782us/step - loss: 0.5420
Epoch 109/150
153/153 [==============================] - 0s 782us/step - loss: 0.5382
Epoch 110/150
153/153 [==============================] - 0s 776us/step - loss: 0.5424
Epoch 111/150
153/153 [==============================] - 0s 808us/step - loss: 0.5403
Epoch 112/150
153/153 [==============================] - 0s 789us/step - loss: 0.5414
Epoch 113/150
153/153 [==============================] - 0s 802us/step - loss: 0.5413
Epoch 114/150
153/153 [==============================] - 0s 776us/step - loss: 0.5406
Epoch 115/150
153/153 [==============================] - 0s 789us/step - loss: 0.5402
Epoch 116/150
153/153 [==============================] - 0s 808us/step - loss: 0.5386
Epoch 117/150
153/153 [==============================] - 0s 789us/step - loss: 0.5399
Epoch 118/150
153/153 [==============================] - 0s 769us/step - loss: 0.5406
Epoch 119/150
153/153 [==============================] - 0s 756us/step - loss: 0.5388
Epoch 120/150
153/153 [==============================] - 0s 789us/step - loss: 0.5383
Epoch 121/150
153/153 [==============================] - 0s 782us/step - loss: 0.5381
Epoch 122/150
153/153 [==============================] - 0s 789us/step - loss: 0.5393
Epoch 123/150
153/153 [==============================] - 0s 782us/step - loss: 0.5373
Epoch 124/150
153/153 [==============================] - 0s 782us/step - loss: 0.5386
Epoch 125/150
153/153 [==============================] - 0s 795us/step - loss: 0.5360
Epoch 126/150
153/153 [==============================] - 0s 769us/step - loss: 0.5387
Epoch 127/150
153/153 [==============================] - 0s 763us/step - loss: 0.5349
Epoch 128/150
153/153 [==============================] - 0s 789us/step - loss: 0.5374
Epoch 129/150
153/153 [==============================] - 0s 763us/step - loss: 0.5350
Epoch 130/150
153/153 [==============================] - 0s 763us/step - loss: 0.5335
Epoch 131/150
153/153 [==============================] - 0s 789us/step - loss: 0.5350
Epoch 132/150
153/153 [==============================] - 0s 776us/step - loss: 0.5348
Epoch 133/150
153/153 [==============================] - 0s 769us/step - loss: 0.5350
Epoch 134/150
153/153 [==============================] - 0s 782us/step - loss: 0.5338
Epoch 135/150
153/153 [==============================] - 0s 795us/step - loss: 0.5354
Epoch 136/150
153/153 [==============================] - 0s 763us/step - loss: 0.5315
Epoch 137/150
153/153 [==============================] - 0s 769us/step - loss: 0.5351
Epoch 138/150
153/153 [==============================] - 0s 769us/step - loss: 0.5333
Epoch 139/150
153/153 [==============================] - 0s 769us/step - loss: 0.5337
Epoch 140/150
153/153 [==============================] - 0s 776us/step - loss: 0.5325
Epoch 141/150
153/153 [==============================] - 0s 815us/step - loss: 0.5318
Epoch 142/150
153/153 [==============================] - 0s 756us/step - loss: 0.5324
Epoch 143/150
153/153 [==============================] - 0s 782us/step - loss: 0.5314
Epoch 144/150
153/153 [==============================] - 0s 802us/step - loss: 0.5326
Epoch 145/150
153/153 [==============================] - 0s 776us/step - loss: 0.5260
Epoch 146/150
153/153 [==============================] - 0s 763us/step - loss: 0.5324
Epoch 147/150
153/153 [==============================] - 0s 750us/step - loss: 0.5302
Epoch 148/150
153/153 [==============================] - 0s 756us/step - loss: 0.5327
Epoch 149/150
153/153 [==============================] - 0s 756us/step - loss: 0.5303
Epoch 150/150
153/153 [==============================] - 0s 750us/step - loss: 0.5281
###################################################################### Accuracy: 68.48870528857323
Epoch 1/10
76/76 [==============================] - 0s 787us/step - loss: 1.0091
Epoch 2/10
76/76 [==============================] - 0s 853us/step - loss: 0.9485
Epoch 3/10
76/76 [==============================] - 0s 761us/step - loss: 0.8457
Epoch 4/10
76/76 [==============================] - 0s 800us/step - loss: 0.7346
Epoch 5/10
76/76 [==============================] - 0s 814us/step - loss: 0.6734
Epoch 6/10
76/76 [==============================] - 0s 748us/step - loss: 0.6544
Epoch 7/10
76/76 [==============================] - 0s 787us/step - loss: 0.6474
Epoch 8/10
76/76 [==============================] - 0s 761us/step - loss: 0.6430
Epoch 9/10
76/76 [==============================] - 0s 735us/step - loss: 0.6394
Epoch 10/10
76/76 [==============================] - 0s 748us/step - loss: 0.6377
###################################################################### Accuracy: 71.8875791254879
Epoch 1/10
77/77 [==============================] - 0s 816us/step - loss: 0.9799
Epoch 2/10
77/77 [==============================] - 0s 790us/step - loss: 0.9262
Epoch 3/10
77/77 [==============================] - 0s 829us/step - loss: 0.8107
Epoch 4/10
77/77 [==============================] - 0s 842us/step - loss: 0.7080
Epoch 5/10
77/77 [==============================] - 0s 829us/step - loss: 0.6607
Epoch 6/10
77/77 [==============================] - 0s 829us/step - loss: 0.6440
Epoch 7/10
77/77 [==============================] - 0s 816us/step - loss: 0.6373
Epoch 8/10
77/77 [==============================] - 0s 790us/step - loss: 0.6324
Epoch 9/10
77/77 [==============================] - 0s 816us/step - loss: 0.6287
Epoch 10/10
77/77 [==============================] - 0s 790us/step - loss: 0.6233
###################################################################### Accuracy: 73.23314897327005
Epoch 1/10
77/77 [==============================] - 0s 868us/step - loss: 0.9726
Epoch 2/10
77/77 [==============================] - 0s 803us/step - loss: 0.9168
Epoch 3/10
77/77 [==============================] - 0s 803us/step - loss: 0.8021
Epoch 4/10
77/77 [==============================] - 0s 790us/step - loss: 0.7270
Epoch 5/10
77/77 [==============================] - 0s 764us/step - loss: 0.6797
Epoch 6/10
77/77 [==============================] - 0s 816us/step - loss: 0.6533
Epoch 7/10
77/77 [==============================] - 0s 816us/step - loss: 0.6385
Epoch 8/10
77/77 [==============================] - 0s 803us/step - loss: 0.6299
Epoch 9/10
77/77 [==============================] - 0s 790us/step - loss: 0.6246
Epoch 10/10
77/77 [==============================] - 0s 777us/step - loss: 0.6206
###################################################################### Accuracy: 90.9496316971702
Epoch 1/10
77/77 [==============================] - 0s 855us/step - loss: 1.0052
Epoch 2/10
77/77 [==============================] - 0s 803us/step - loss: 0.9473
Epoch 3/10
77/77 [==============================] - 0s 816us/step - loss: 0.8467
Epoch 4/10
77/77 [==============================] - 0s 777us/step - loss: 0.7493
Epoch 5/10
77/77 [==============================] - 0s 764us/step - loss: 0.6902
Epoch 6/10
77/77 [==============================] - 0s 803us/step - loss: 0.6639
Epoch 7/10
77/77 [==============================] - 0s 816us/step - loss: 0.6517
Epoch 8/10
77/77 [==============================] - 0s 803us/step - loss: 0.6472
Epoch 9/10
77/77 [==============================] - 0s 738us/step - loss: 0.6428
Epoch 10/10
77/77 [==============================] - 0s 816us/step - loss: 0.6391
###################################################################### Accuracy: 72.16436929665163
Epoch 1/10
77/77 [==============================] - 0s 816us/step - loss: 1.0001
Epoch 2/10
77/77 [==============================] - 0s 777us/step - loss: 0.9711
Epoch 3/10
77/77 [==============================] - 0s 803us/step - loss: 0.8898
Epoch 4/10
77/77 [==============================] - 0s 829us/step - loss: 0.7730
Epoch 5/10
77/77 [==============================] - 0s 751us/step - loss: 0.6860
Epoch 6/10
77/77 [==============================] - 0s 816us/step - loss: 0.6558
Epoch 7/10
77/77 [==============================] - 0s 842us/step - loss: 0.6460
Epoch 8/10
77/77 [==============================] - 0s 803us/step - loss: 0.6419
Epoch 9/10
77/77 [==============================] - 0s 790us/step - loss: 0.6380
Epoch 10/10
77/77 [==============================] - 0s 816us/step - loss: 0.6359
###################################################################### Accuracy: 74.88686791967741
Epoch 1/20
76/76 [==============================] - 0s 830us/step - loss: 1.0089
Epoch 2/20
76/76 [==============================] - 0s 786us/step - loss: 0.9491
Epoch 3/20
76/76 [==============================] - 0s 774us/step - loss: 0.8315
Epoch 4/20
76/76 [==============================] - 0s 761us/step - loss: 0.7156
Epoch 5/20
76/76 [==============================] - 0s 735us/step - loss: 0.6591
Epoch 6/20
76/76 [==============================] - 0s 748us/step - loss: 0.6418
Epoch 7/20
76/76 [==============================] - 0s 709us/step - loss: 0.6352
Epoch 8/20
76/76 [==============================] - 0s 696us/step - loss: 0.6304
Epoch 9/20
76/76 [==============================] - 0s 735us/step - loss: 0.6260
Epoch 10/20
76/76 [==============================] - 0s 722us/step - loss: 0.6222
Epoch 11/20
76/76 [==============================] - 0s 709us/step - loss: 0.6178
Epoch 12/20
76/76 [==============================] - 0s 735us/step - loss: 0.6147
Epoch 13/20
76/76 [==============================] - 0s 696us/step - loss: 0.6110
Epoch 14/20
76/76 [==============================] - 0s 748us/step - loss: 0.6067
Epoch 15/20
76/76 [==============================] - 0s 774us/step - loss: 0.6029
Epoch 16/20
76/76 [==============================] - ETA: 0s - loss: 0.601 - 0s 735us/step - loss: 0.5996
Epoch 17/20
76/76 [==============================] - 0s 774us/step - loss: 0.5963
Epoch 18/20
76/76 [==============================] - 0s 801us/step - loss: 0.5946
Epoch 19/20
76/76 [==============================] - 0s 774us/step - loss: 0.5923
Epoch 20/20
76/76 [==============================] - 0s 735us/step - loss: 0.5883
###################################################################### Accuracy: 70.16266976096607
Epoch 1/20
77/77 [==============================] - 0s 811us/step - loss: 0.9792
Epoch 2/20
77/77 [==============================] - 0s 790us/step - loss: 0.9249
Epoch 3/20
77/77 [==============================] - 0s 764us/step - loss: 0.8270
Epoch 4/20
77/77 [==============================] - 0s 738us/step - loss: 0.7417
Epoch 5/20
77/77 [==============================] - 0s 751us/step - loss: 0.6850
Epoch 6/20
77/77 [==============================] - 0s 764us/step - loss: 0.6547
Epoch 7/20
77/77 [==============================] - 0s 777us/step - loss: 0.6404
Epoch 8/20
77/77 [==============================] - 0s 725us/step - loss: 0.6337
Epoch 9/20
77/77 [==============================] - 0s 751us/step - loss: 0.6284
Epoch 10/20
77/77 [==============================] - 0s 777us/step - loss: 0.6236
Epoch 11/20
77/77 [==============================] - 0s 803us/step - loss: 0.6189
Epoch 12/20
77/77 [==============================] - 0s 751us/step - loss: 0.6152
Epoch 13/20
77/77 [==============================] - 0s 790us/step - loss: 0.6112
Epoch 14/20
77/77 [==============================] - 0s 790us/step - loss: 0.6075
Epoch 15/20
77/77 [==============================] - 0s 764us/step - loss: 0.6041
Epoch 16/20
77/77 [==============================] - 0s 738us/step - loss: 0.6024
Epoch 17/20
77/77 [==============================] - 0s 816us/step - loss: 0.5990
Epoch 18/20
77/77 [==============================] - 0s 751us/step - loss: 0.5957
Epoch 19/20
77/77 [==============================] - 0s 803us/step - loss: 0.5934
Epoch 20/20
77/77 [==============================] - 0s 803us/step - loss: 0.5909
###################################################################### Accuracy: 73.6736527285876
Epoch 1/20
77/77 [==============================] - 0s 803us/step - loss: 0.9713
Epoch 2/20
77/77 [==============================] - 0s 764us/step - loss: 0.9247
Epoch 3/20
77/77 [==============================] - 0s 751us/step - loss: 0.8180
Epoch 4/20
77/77 [==============================] - 0s 764us/step - loss: 0.7138
Epoch 5/20
77/77 [==============================] - 0s 764us/step - loss: 0.6584
Epoch 6/20
77/77 [==============================] - 0s 751us/step - loss: 0.6344
Epoch 7/20
77/77 [==============================] - 0s 803us/step - loss: 0.6263
Epoch 8/20
77/77 [==============================] - 0s 816us/step - loss: 0.6203
Epoch 9/20
77/77 [==============================] - 0s 764us/step - loss: 0.6148
Epoch 10/20
77/77 [==============================] - 0s 790us/step - loss: 0.6125
Epoch 11/20
77/77 [==============================] - 0s 803us/step - loss: 0.6102
Epoch 12/20
77/77 [==============================] - 0s 764us/step - loss: 0.6057
Epoch 13/20
77/77 [==============================] - 0s 803us/step - loss: 0.6037
Epoch 14/20
77/77 [==============================] - 0s 764us/step - loss: 0.6005
Epoch 15/20
77/77 [==============================] - 0s 777us/step - loss: 0.5987
Epoch 16/20
77/77 [==============================] - 0s 803us/step - loss: 0.5974
Epoch 17/20
77/77 [==============================] - 0s 790us/step - loss: 0.5940
Epoch 18/20
77/77 [==============================] - 0s 751us/step - loss: 0.5927
Epoch 19/20
77/77 [==============================] - 0s 764us/step - loss: 0.5898
Epoch 20/20
77/77 [==============================] - 0s 790us/step - loss: 0.5888
###################################################################### Accuracy: 90.91845133191605
Epoch 1/20
77/77 [==============================] - 0s 880us/step - loss: 1.0064
Epoch 2/20
77/77 [==============================] - 0s 777us/step - loss: 0.9367
Epoch 3/20
77/77 [==============================] - 0s 816us/step - loss: 0.8114
Epoch 4/20
77/77 [==============================] - 0s 790us/step - loss: 0.7024
Epoch 5/20
77/77 [==============================] - 0s 816us/step - loss: 0.6658
Epoch 6/20
77/77 [==============================] - 0s 803us/step - loss: 0.6560
Epoch 7/20
77/77 [==============================] - 0s 803us/step - loss: 0.6532
Epoch 8/20
77/77 [==============================] - 0s 816us/step - loss: 0.6490
Epoch 9/20
77/77 [==============================] - 0s 790us/step - loss: 0.6481
Epoch 10/20
77/77 [==============================] - 0s 803us/step - loss: 0.6449
Epoch 11/20
77/77 [==============================] - 0s 790us/step - loss: 0.6424
Epoch 12/20
77/77 [==============================] - 0s 777us/step - loss: 0.6422
Epoch 13/20
77/77 [==============================] - 0s 829us/step - loss: 0.6405
Epoch 14/20
77/77 [==============================] - 0s 790us/step - loss: 0.6398
Epoch 15/20
77/77 [==============================] - 0s 816us/step - loss: 0.6382
Epoch 16/20
77/77 [==============================] - 0s 751us/step - loss: 0.6354
Epoch 17/20
77/77 [==============================] - 0s 738us/step - loss: 0.6356
Epoch 18/20
77/77 [==============================] - 0s 790us/step - loss: 0.6334
Epoch 19/20
77/77 [==============================] - 0s 829us/step - loss: 0.6314
Epoch 20/20
77/77 [==============================] - 0s 829us/step - loss: 0.6297
###################################################################### Accuracy: 73.49964859417871
Epoch 1/20
77/77 [==============================] - 0s 829us/step - loss: 0.9885
Epoch 2/20
77/77 [==============================] - 0s 816us/step - loss: 0.9281
Epoch 3/20
77/77 [==============================] - 0s 751us/step - loss: 0.8152
Epoch 4/20
77/77 [==============================] - 0s 777us/step - loss: 0.7071
Epoch 5/20
77/77 [==============================] - 0s 816us/step - loss: 0.6607
Epoch 6/20
77/77 [==============================] - 0s 803us/step - loss: 0.6464
Epoch 7/20
77/77 [==============================] - 0s 764us/step - loss: 0.6386
Epoch 8/20
77/77 [==============================] - 0s 790us/step - loss: 0.6330
Epoch 9/20
77/77 [==============================] - 0s 816us/step - loss: 0.6283
Epoch 10/20
77/77 [==============================] - 0s 803us/step - loss: 0.6237
Epoch 11/20
77/77 [==============================] - 0s 777us/step - loss: 0.6183
Epoch 12/20
77/77 [==============================] - 0s 790us/step - loss: 0.6160
Epoch 13/20
77/77 [==============================] - 0s 842us/step - loss: 0.6107
Epoch 14/20
77/77 [==============================] - 0s 803us/step - loss: 0.6066
Epoch 15/20
77/77 [==============================] - 0s 751us/step - loss: 0.6053
Epoch 16/20
77/77 [==============================] - 0s 751us/step - loss: 0.6035
Epoch 17/20
77/77 [==============================] - 0s 790us/step - loss: 0.5999
Epoch 18/20
77/77 [==============================] - 0s 777us/step - loss: 0.5988
Epoch 19/20
77/77 [==============================] - 0s 829us/step - loss: 0.5962
Epoch 20/20
77/77 [==============================] - 0s 803us/step - loss: 0.5927
###################################################################### Accuracy: 70.83133877719229
Epoch 1/50
76/76 [==============================] - 0s 761us/step - loss: 1.0151
Epoch 2/50
76/76 [==============================] - 0s 735us/step - loss: 0.9673
Epoch 3/50
76/76 [==============================] - 0s 748us/step - loss: 0.8640
Epoch 4/50
76/76 [==============================] - 0s 774us/step - loss: 0.7602
Epoch 5/50
76/76 [==============================] - 0s 774us/step - loss: 0.7082
Epoch 6/50
76/76 [==============================] - 0s 761us/step - loss: 0.6808
Epoch 7/50
76/76 [==============================] - 0s 787us/step - loss: 0.6649
Epoch 8/50
76/76 [==============================] - 0s 761us/step - loss: 0.6550
Epoch 9/50
76/76 [==============================] - ETA: 0s - loss: 0.624 - 0s 800us/step - loss: 0.6483
Epoch 10/50
76/76 [==============================] - 0s 827us/step - loss: 0.6445
Epoch 11/50
76/76 [==============================] - 0s 814us/step - loss: 0.6406
Epoch 12/50
76/76 [==============================] - 0s 800us/step - loss: 0.6383
Epoch 13/50
76/76 [==============================] - 0s 761us/step - loss: 0.6364
Epoch 14/50
76/76 [==============================] - 0s 761us/step - loss: 0.6335
Epoch 15/50
76/76 [==============================] - 0s 787us/step - loss: 0.6329
Epoch 16/50
76/76 [==============================] - 0s 787us/step - loss: 0.6306
Epoch 17/50
76/76 [==============================] - 0s 748us/step - loss: 0.6281
Epoch 18/50
76/76 [==============================] - 0s 787us/step - loss: 0.6260
Epoch 19/50
76/76 [==============================] - 0s 800us/step - loss: 0.6248
Epoch 20/50
76/76 [==============================] - 0s 814us/step - loss: 0.6235
Epoch 21/50
76/76 [==============================] - 0s 814us/step - loss: 0.6217
Epoch 22/50
76/76 [==============================] - 0s 827us/step - loss: 0.6205
Epoch 23/50
76/76 [==============================] - 0s 814us/step - loss: 0.6188
Epoch 24/50
76/76 [==============================] - 0s 708us/step - loss: 0.6175
Epoch 25/50
76/76 [==============================] - 0s 774us/step - loss: 0.6162
Epoch 26/50
76/76 [==============================] - 0s 761us/step - loss: 0.6154
Epoch 27/50
76/76 [==============================] - 0s 761us/step - loss: 0.6154
Epoch 28/50
76/76 [==============================] - 0s 735us/step - loss: 0.6142
Epoch 29/50
76/76 [==============================] - 0s 735us/step - loss: 0.6117
Epoch 30/50
76/76 [==============================] - 0s 787us/step - loss: 0.6120
Epoch 31/50
76/76 [==============================] - 0s 735us/step - loss: 0.6114
Epoch 32/50
76/76 [==============================] - 0s 735us/step - loss: 0.6101
Epoch 33/50
76/76 [==============================] - 0s 787us/step - loss: 0.6091
Epoch 34/50
76/76 [==============================] - 0s 761us/step - loss: 0.6089
Epoch 35/50
76/76 [==============================] - 0s 814us/step - loss: 0.6072
Epoch 36/50
76/76 [==============================] - 0s 814us/step - loss: 0.6061
Epoch 37/50
76/76 [==============================] - 0s 774us/step - loss: 0.6067
Epoch 38/50
76/76 [==============================] - 0s 787us/step - loss: 0.6055
Epoch 39/50
76/76 [==============================] - 0s 761us/step - loss: 0.6043
Epoch 40/50
76/76 [==============================] - 0s 787us/step - loss: 0.6041
Epoch 41/50
76/76 [==============================] - 0s 761us/step - loss: 0.6035
Epoch 42/50
76/76 [==============================] - 0s 748us/step - loss: 0.6023
Epoch 43/50
76/76 [==============================] - 0s 748us/step - loss: 0.6024
Epoch 44/50
76/76 [==============================] - 0s 761us/step - loss: 0.6014
Epoch 45/50
76/76 [==============================] - 0s 761us/step - loss: 0.5999
Epoch 46/50
76/76 [==============================] - 0s 748us/step - loss: 0.5997
Epoch 47/50
76/76 [==============================] - 0s 761us/step - loss: 0.5979
Epoch 48/50
76/76 [==============================] - 0s 774us/step - loss: 0.5981
Epoch 49/50
76/76 [==============================] - 0s 761us/step - loss: 0.5944
Epoch 50/50
76/76 [==============================] - 0s 814us/step - loss: 0.5960
###################################################################### Accuracy: 69.83642333010707
Epoch 1/50
77/77 [==============================] - 0s 859us/step - loss: 0.9766
Epoch 2/50
77/77 [==============================] - 0s 843us/step - loss: 0.9127
Epoch 3/50
77/77 [==============================] - 0s 816us/step - loss: 0.8035
Epoch 4/50
77/77 [==============================] - 0s 803us/step - loss: 0.7167
Epoch 5/50
77/77 [==============================] - 0s 790us/step - loss: 0.6708
Epoch 6/50
77/77 [==============================] - 0s 777us/step - loss: 0.6524
Epoch 7/50
77/77 [==============================] - 0s 777us/step - loss: 0.6433
Epoch 8/50
77/77 [==============================] - 0s 842us/step - loss: 0.6396
Epoch 9/50
77/77 [==============================] - 0s 816us/step - loss: 0.6348
Epoch 10/50
77/77 [==============================] - 0s 842us/step - loss: 0.6309
Epoch 11/50
77/77 [==============================] - 0s 803us/step - loss: 0.6267
Epoch 12/50
77/77 [==============================] - 0s 777us/step - loss: 0.6238
Epoch 13/50
77/77 [==============================] - 0s 816us/step - loss: 0.6187
Epoch 14/50
77/77 [==============================] - 0s 829us/step - loss: 0.6157
Epoch 15/50
77/77 [==============================] - 0s 803us/step - loss: 0.6126
Epoch 16/50
77/77 [==============================] - 0s 803us/step - loss: 0.6093
Epoch 17/50
77/77 [==============================] - 0s 803us/step - loss: 0.6075
Epoch 18/50
77/77 [==============================] - 0s 816us/step - loss: 0.6024
Epoch 19/50
77/77 [==============================] - 0s 777us/step - loss: 0.5994
Epoch 20/50
77/77 [==============================] - 0s 816us/step - loss: 0.5989
Epoch 21/50
77/77 [==============================] - 0s 764us/step - loss: 0.5954
Epoch 22/50
77/77 [==============================] - 0s 790us/step - loss: 0.5931
Epoch 23/50
77/77 [==============================] - 0s 816us/step - loss: 0.5918
Epoch 24/50
77/77 [==============================] - 0s 803us/step - loss: 0.5903
Epoch 25/50
77/77 [==============================] - 0s 842us/step - loss: 0.5880
Epoch 26/50
77/77 [==============================] - 0s 803us/step - loss: 0.5872
Epoch 27/50
77/77 [==============================] - 0s 803us/step - loss: 0.5842
Epoch 28/50
77/77 [==============================] - 0s 816us/step - loss: 0.5831
Epoch 29/50
77/77 [==============================] - 0s 829us/step - loss: 0.5800
Epoch 30/50
77/77 [==============================] - 0s 777us/step - loss: 0.5797
Epoch 31/50
77/77 [==============================] - 0s 790us/step - loss: 0.5783
Epoch 32/50
77/77 [==============================] - 0s 816us/step - loss: 0.5764
Epoch 33/50
77/77 [==============================] - 0s 816us/step - loss: 0.5761
Epoch 34/50
77/77 [==============================] - 0s 803us/step - loss: 0.5748
Epoch 35/50
77/77 [==============================] - 0s 790us/step - loss: 0.5741
Epoch 36/50
77/77 [==============================] - 0s 829us/step - loss: 0.5716
Epoch 37/50
77/77 [==============================] - 0s 816us/step - loss: 0.5726
Epoch 38/50
77/77 [==============================] - 0s 816us/step - loss: 0.5714
Epoch 39/50
77/77 [==============================] - 0s 764us/step - loss: 0.5708
Epoch 40/50
77/77 [==============================] - 0s 803us/step - loss: 0.5696
Epoch 41/50
77/77 [==============================] - 0s 777us/step - loss: 0.5684
Epoch 42/50
77/77 [==============================] - 0s 829us/step - loss: 0.5682
Epoch 43/50
77/77 [==============================] - 0s 777us/step - loss: 0.5667
Epoch 44/50
77/77 [==============================] - 0s 829us/step - loss: 0.5636
Epoch 45/50
77/77 [==============================] - 0s 816us/step - loss: 0.5656
Epoch 46/50
77/77 [==============================] - 0s 751us/step - loss: 0.5649
Epoch 47/50
77/77 [==============================] - 0s 751us/step - loss: 0.5632
Epoch 48/50
77/77 [==============================] - 0s 738us/step - loss: 0.5637
Epoch 49/50
77/77 [==============================] - 0s 790us/step - loss: 0.5624
Epoch 50/50
77/77 [==============================] - 0s 842us/step - loss: 0.5599
###################################################################### Accuracy: 72.65396925458957
Epoch 1/50
77/77 [==============================] - 0s 842us/step - loss: 0.9745
Epoch 2/50
77/77 [==============================] - 0s 829us/step - loss: 0.9632
Epoch 3/50
77/77 [==============================] - 0s 790us/step - loss: 0.9374
Epoch 4/50
77/77 [==============================] - 0s 738us/step - loss: 0.8961
Epoch 5/50
77/77 [==============================] - 0s 764us/step - loss: 0.8444
Epoch 6/50
77/77 [==============================] - 0s 777us/step - loss: 0.7955
Epoch 7/50
77/77 [==============================] - 0s 751us/step - loss: 0.7576
Epoch 8/50
77/77 [==============================] - 0s 1ms/step - loss: 0.7273
Epoch 9/50
77/77 [==============================] - 0s 868us/step - loss: 0.7048
Epoch 10/50
77/77 [==============================] - 0s 842us/step - loss: 0.6885
Epoch 11/50
77/77 [==============================] - 0s 894us/step - loss: 0.6756
Epoch 12/50
77/77 [==============================] - 0s 803us/step - loss: 0.6647
Epoch 13/50
77/77 [==============================] - 0s 790us/step - loss: 0.6566
Epoch 14/50
77/77 [==============================] - 0s 790us/step - loss: 0.6496
Epoch 15/50
77/77 [==============================] - 0s 764us/step - loss: 0.6436
Epoch 16/50
77/77 [==============================] - 0s 790us/step - loss: 0.6389
Epoch 17/50
77/77 [==============================] - 0s 777us/step - loss: 0.6338
Epoch 18/50
77/77 [==============================] - 0s 829us/step - loss: 0.6298
Epoch 19/50
77/77 [==============================] - 0s 777us/step - loss: 0.6262
Epoch 20/50
77/77 [==============================] - 0s 777us/step - loss: 0.6229
Epoch 21/50
77/77 [==============================] - 0s 738us/step - loss: 0.6194
Epoch 22/50
77/77 [==============================] - 0s 790us/step - loss: 0.6168
Epoch 23/50
77/77 [==============================] - 0s 751us/step - loss: 0.6139
Epoch 24/50
77/77 [==============================] - 0s 764us/step - loss: 0.6121
Epoch 25/50
77/77 [==============================] - 0s 764us/step - loss: 0.6101
Epoch 26/50
77/77 [==============================] - 0s 777us/step - loss: 0.6083
Epoch 27/50
77/77 [==============================] - 0s 803us/step - loss: 0.6053
Epoch 28/50
77/77 [==============================] - 0s 777us/step - loss: 0.6047
Epoch 29/50
77/77 [==============================] - 0s 790us/step - loss: 0.6023
Epoch 30/50
77/77 [==============================] - 0s 777us/step - loss: 0.5999
Epoch 31/50
77/77 [==============================] - 0s 777us/step - loss: 0.5975
Epoch 32/50
77/77 [==============================] - 0s 764us/step - loss: 0.5971
Epoch 33/50
77/77 [==============================] - 0s 738us/step - loss: 0.5944
Epoch 34/50
77/77 [==============================] - 0s 777us/step - loss: 0.5934
Epoch 35/50
77/77 [==============================] - 0s 803us/step - loss: 0.5915
Epoch 36/50
77/77 [==============================] - 0s 777us/step - loss: 0.5901
Epoch 37/50
77/77 [==============================] - 0s 803us/step - loss: 0.5888
Epoch 38/50
77/77 [==============================] - 0s 764us/step - loss: 0.5868
Epoch 39/50
77/77 [==============================] - 0s 777us/step - loss: 0.5853
Epoch 40/50
77/77 [==============================] - 0s 790us/step - loss: 0.5850
Epoch 41/50
77/77 [==============================] - 0s 751us/step - loss: 0.5826
Epoch 42/50
77/77 [==============================] - 0s 764us/step - loss: 0.5817
Epoch 43/50
77/77 [==============================] - 0s 751us/step - loss: 0.5817
Epoch 44/50
77/77 [==============================] - 0s 751us/step - loss: 0.5798
Epoch 45/50
77/77 [==============================] - 0s 764us/step - loss: 0.5795
Epoch 46/50
77/77 [==============================] - 0s 790us/step - loss: 0.5794
Epoch 47/50
77/77 [==============================] - 0s 829us/step - loss: 0.5775
Epoch 48/50
77/77 [==============================] - 0s 764us/step - loss: 0.5770
Epoch 49/50
77/77 [==============================] - 0s 764us/step - loss: 0.5760
Epoch 50/50
77/77 [==============================] - 0s 803us/step - loss: 0.5747
###################################################################### Accuracy: 88.09320555157855
Epoch 1/50
77/77 [==============================] - 0s 816us/step - loss: 1.0110
Epoch 2/50
77/77 [==============================] - 0s 816us/step - loss: 0.9531
Epoch 3/50
77/77 [==============================] - 0s 868us/step - loss: 0.8369
Epoch 4/50
77/77 [==============================] - 0s 907us/step - loss: 0.7282
Epoch 5/50
77/77 [==============================] - 0s 816us/step - loss: 0.6722
Epoch 6/50
77/77 [==============================] - 0s 803us/step - loss: 0.6545
Epoch 7/50
77/77 [==============================] - 0s 829us/step - loss: 0.6488
Epoch 8/50
77/77 [==============================] - 0s 803us/step - loss: 0.6443
Epoch 9/50
77/77 [==============================] - 0s 816us/step - loss: 0.6409
Epoch 10/50
77/77 [==============================] - 0s 816us/step - loss: 0.6373
Epoch 11/50
77/77 [==============================] - 0s 829us/step - loss: 0.6334
Epoch 12/50
77/77 [==============================] - 0s 829us/step - loss: 0.6304
Epoch 13/50
77/77 [==============================] - 0s 764us/step - loss: 0.6277
Epoch 14/50
77/77 [==============================] - 0s 790us/step - loss: 0.6256
Epoch 15/50
77/77 [==============================] - 0s 790us/step - loss: 0.6230
Epoch 16/50
77/77 [==============================] - 0s 790us/step - loss: 0.6209
Epoch 17/50
77/77 [==============================] - 0s 816us/step - loss: 0.6179
Epoch 18/50
77/77 [==============================] - 0s 803us/step - loss: 0.6178
Epoch 19/50
77/77 [==============================] - 0s 803us/step - loss: 0.6148
Epoch 20/50
77/77 [==============================] - 0s 764us/step - loss: 0.6133
Epoch 21/50
77/77 [==============================] - 0s 803us/step - loss: 0.6130
Epoch 22/50
77/77 [==============================] - 0s 790us/step - loss: 0.6098
Epoch 23/50
77/77 [==============================] - 0s 816us/step - loss: 0.6096
Epoch 24/50
77/77 [==============================] - 0s 790us/step - loss: 0.6072
Epoch 25/50
77/77 [==============================] - 0s 790us/step - loss: 0.6067
Epoch 26/50
77/77 [==============================] - 0s 829us/step - loss: 0.6045
Epoch 27/50
77/77 [==============================] - 0s 790us/step - loss: 0.6031
Epoch 28/50
77/77 [==============================] - 0s 803us/step - loss: 0.6024
Epoch 29/50
77/77 [==============================] - 0s 842us/step - loss: 0.6016
Epoch 30/50
77/77 [==============================] - 0s 868us/step - loss: 0.6004
Epoch 31/50
77/77 [==============================] - 0s 777us/step - loss: 0.5983
Epoch 32/50
77/77 [==============================] - 0s 816us/step - loss: 0.5985
Epoch 33/50
77/77 [==============================] - 0s 751us/step - loss: 0.5975
Epoch 34/50
77/77 [==============================] - 0s 790us/step - loss: 0.5956
Epoch 35/50
77/77 [==============================] - 0s 803us/step - loss: 0.5954
Epoch 36/50
77/77 [==============================] - 0s 816us/step - loss: 0.5940
Epoch 37/50
77/77 [==============================] - 0s 777us/step - loss: 0.5931
Epoch 38/50
77/77 [==============================] - 0s 764us/step - loss: 0.5925
Epoch 39/50
77/77 [==============================] - 0s 738us/step - loss: 0.5891
Epoch 40/50
77/77 [==============================] - 0s 777us/step - loss: 0.5906
Epoch 41/50
77/77 [==============================] - 0s 842us/step - loss: 0.5896
Epoch 42/50
77/77 [==============================] - 0s 829us/step - loss: 0.5886
Epoch 43/50
77/77 [==============================] - 0s 777us/step - loss: 0.5882
Epoch 44/50
77/77 [==============================] - 0s 751us/step - loss: 0.5867
Epoch 45/50
77/77 [==============================] - 0s 764us/step - loss: 0.5866
Epoch 46/50
77/77 [==============================] - 0s 816us/step - loss: 0.5865
Epoch 47/50
77/77 [==============================] - 0s 725us/step - loss: 0.5837
Epoch 48/50
77/77 [==============================] - 0s 777us/step - loss: 0.5839
Epoch 49/50
77/77 [==============================] - 0s 829us/step - loss: 0.5843
Epoch 50/50
77/77 [==============================] - 0s 803us/step - loss: 0.5832
###################################################################### Accuracy: 75.64787931005515
Epoch 1/50
77/77 [==============================] - 0s 790us/step - loss: 0.9900
Epoch 2/50
77/77 [==============================] - 0s 829us/step - loss: 0.9315
Epoch 3/50
77/77 [==============================] - 0s 790us/step - loss: 0.8621
Epoch 4/50
77/77 [==============================] - 0s 751us/step - loss: 0.8206
Epoch 5/50
77/77 [==============================] - 0s 816us/step - loss: 0.7984
Epoch 6/50
77/77 [==============================] - 0s 790us/step - loss: 0.7772
Epoch 7/50
77/77 [==============================] - 0s 816us/step - loss: 0.7589
Epoch 8/50
77/77 [==============================] - 0s 816us/step - loss: 0.7434
Epoch 9/50
77/77 [==============================] - 0s 816us/step - loss: 0.7281
Epoch 10/50
77/77 [==============================] - 0s 868us/step - loss: 0.7146
Epoch 11/50
77/77 [==============================] - 0s 764us/step - loss: 0.7020
Epoch 12/50
77/77 [==============================] - 0s 764us/step - loss: 0.6913
Epoch 13/50
77/77 [==============================] - 0s 790us/step - loss: 0.6795
Epoch 14/50
77/77 [==============================] - 0s 790us/step - loss: 0.6717
Epoch 15/50
77/77 [==============================] - 0s 764us/step - loss: 0.6620
Epoch 16/50
77/77 [==============================] - 0s 842us/step - loss: 0.6555
Epoch 17/50
77/77 [==============================] - 0s 816us/step - loss: 0.6484
Epoch 18/50
77/77 [==============================] - 0s 790us/step - loss: 0.6426
Epoch 19/50
77/77 [==============================] - 0s 803us/step - loss: 0.6368
Epoch 20/50
77/77 [==============================] - 0s 777us/step - loss: 0.6333
Epoch 21/50
77/77 [==============================] - 0s 803us/step - loss: 0.6275
Epoch 22/50
77/77 [==============================] - 0s 790us/step - loss: 0.6232
Epoch 23/50
77/77 [==============================] - 0s 790us/step - loss: 0.6175
Epoch 24/50
77/77 [==============================] - 0s 790us/step - loss: 0.6136
Epoch 25/50
77/77 [==============================] - 0s 842us/step - loss: 0.6108
Epoch 26/50
77/77 [==============================] - 0s 816us/step - loss: 0.6092
Epoch 27/50
77/77 [==============================] - 0s 816us/step - loss: 0.6059
Epoch 28/50
77/77 [==============================] - 0s 816us/step - loss: 0.6011
Epoch 29/50
77/77 [==============================] - 0s 803us/step - loss: 0.6008
Epoch 30/50
77/77 [==============================] - 0s 751us/step - loss: 0.5992
Epoch 31/50
77/77 [==============================] - 0s 777us/step - loss: 0.5975
Epoch 32/50
77/77 [==============================] - 0s 790us/step - loss: 0.5956
Epoch 33/50
77/77 [==============================] - 0s 803us/step - loss: 0.5923
Epoch 34/50
77/77 [==============================] - 0s 829us/step - loss: 0.5917
Epoch 35/50
77/77 [==============================] - 0s 816us/step - loss: 0.5896
Epoch 36/50
77/77 [==============================] - 0s 842us/step - loss: 0.5874
Epoch 37/50
77/77 [==============================] - 0s 777us/step - loss: 0.5873
Epoch 38/50
77/77 [==============================] - 0s 816us/step - loss: 0.5852
Epoch 39/50
77/77 [==============================] - 0s 829us/step - loss: 0.5849
Epoch 40/50
77/77 [==============================] - 0s 777us/step - loss: 0.5827
Epoch 41/50
77/77 [==============================] - 0s 764us/step - loss: 0.5825
Epoch 42/50
77/77 [==============================] - 0s 842us/step - loss: 0.5811
Epoch 43/50
77/77 [==============================] - 0s 816us/step - loss: 0.5803
Epoch 44/50
77/77 [==============================] - 0s 790us/step - loss: 0.5796
Epoch 45/50
77/77 [==============================] - 0s 816us/step - loss: 0.5767
Epoch 46/50
77/77 [==============================] - 0s 829us/step - loss: 0.5770
Epoch 47/50
77/77 [==============================] - 0s 803us/step - loss: 0.5763
Epoch 48/50
77/77 [==============================] - 0s 803us/step - loss: 0.5753
Epoch 49/50
77/77 [==============================] - 0s 790us/step - loss: 0.5741
Epoch 50/50
77/77 [==============================] - 0s 829us/step - loss: 0.5716
###################################################################### Accuracy: 69.01932730329612
Epoch 1/100
76/76 [==============================] - 0s 748us/step - loss: 1.0119
Epoch 2/100
76/76 [==============================] - 0s 787us/step - loss: 0.9593
Epoch 3/100
76/76 [==============================] - 0s 787us/step - loss: 0.8556
Epoch 4/100
76/76 [==============================] - 0s 709us/step - loss: 0.7579
Epoch 5/100
76/76 [==============================] - 0s 801us/step - loss: 0.6939
Epoch 6/100
76/76 [==============================] - 0s 748us/step - loss: 0.6575
Epoch 7/100
76/76 [==============================] - 0s 735us/step - loss: 0.6391
Epoch 8/100
76/76 [==============================] - 0s 748us/step - loss: 0.6285
Epoch 9/100
76/76 [==============================] - 0s 735us/step - loss: 0.6220
Epoch 10/100
76/76 [==============================] - 0s 682us/step - loss: 0.6165
Epoch 11/100
76/76 [==============================] - 0s 748us/step - loss: 0.6107
Epoch 12/100
76/76 [==============================] - 0s 735us/step - loss: 0.6072
Epoch 13/100
76/76 [==============================] - 0s 735us/step - loss: 0.6033
Epoch 14/100
76/76 [==============================] - 0s 722us/step - loss: 0.5981
Epoch 15/100
76/76 [==============================] - 0s 800us/step - loss: 0.5940
Epoch 16/100
76/76 [==============================] - 0s 735us/step - loss: 0.5910
Epoch 17/100
76/76 [==============================] - 0s 814us/step - loss: 0.5876
Epoch 18/100
76/76 [==============================] - 0s 748us/step - loss: 0.5853
Epoch 19/100
76/76 [==============================] - 0s 748us/step - loss: 0.5817
Epoch 20/100
76/76 [==============================] - 0s 774us/step - loss: 0.5798
Epoch 21/100
76/76 [==============================] - 0s 774us/step - loss: 0.5773
Epoch 22/100
76/76 [==============================] - 0s 787us/step - loss: 0.5753
Epoch 23/100
76/76 [==============================] - 0s 761us/step - loss: 0.5743
Epoch 24/100
76/76 [==============================] - 0s 774us/step - loss: 0.5716
Epoch 25/100
76/76 [==============================] - 0s 735us/step - loss: 0.5721
Epoch 26/100
76/76 [==============================] - 0s 748us/step - loss: 0.5701
Epoch 27/100
76/76 [==============================] - 0s 735us/step - loss: 0.5681
Epoch 28/100
76/76 [==============================] - 0s 787us/step - loss: 0.5669
Epoch 29/100
76/76 [==============================] - 0s 735us/step - loss: 0.5650
Epoch 30/100
76/76 [==============================] - 0s 761us/step - loss: 0.5643
Epoch 31/100
76/76 [==============================] - 0s 735us/step - loss: 0.5633
Epoch 32/100
76/76 [==============================] - 0s 800us/step - loss: 0.5595
Epoch 33/100
76/76 [==============================] - 0s 787us/step - loss: 0.5603
Epoch 34/100
76/76 [==============================] - 0s 748us/step - loss: 0.5589
Epoch 35/100
76/76 [==============================] - 0s 814us/step - loss: 0.5580
Epoch 36/100
76/76 [==============================] - 0s 761us/step - loss: 0.5572
Epoch 37/100
76/76 [==============================] - 0s 748us/step - loss: 0.5567
Epoch 38/100
76/76 [==============================] - 0s 787us/step - loss: 0.5537
Epoch 39/100
76/76 [==============================] - 0s 761us/step - loss: 0.5526
Epoch 40/100
76/76 [==============================] - ETA: 0s - loss: 0.553 - 0s 774us/step - loss: 0.5523
Epoch 41/100
76/76 [==============================] - 0s 774us/step - loss: 0.5526
Epoch 42/100
76/76 [==============================] - 0s 735us/step - loss: 0.5508
Epoch 43/100
76/76 [==============================] - 0s 774us/step - loss: 0.5516
Epoch 44/100
76/76 [==============================] - 0s 748us/step - loss: 0.5504
Epoch 45/100
76/76 [==============================] - 0s 787us/step - loss: 0.5493
Epoch 46/100
76/76 [==============================] - 0s 722us/step - loss: 0.5492
Epoch 47/100
76/76 [==============================] - 0s 761us/step - loss: 0.5479
Epoch 48/100
76/76 [==============================] - 0s 748us/step - loss: 0.5481 0s - loss: 0.543
Epoch 49/100
76/76 [==============================] - 0s 695us/step - loss: 0.5472
Epoch 50/100
76/76 [==============================] - 0s 761us/step - loss: 0.5473
Epoch 51/100
76/76 [==============================] - 0s 814us/step - loss: 0.5469
Epoch 52/100
76/76 [==============================] - 0s 774us/step - loss: 0.5467
Epoch 53/100
76/76 [==============================] - 0s 774us/step - loss: 0.5458
Epoch 54/100
76/76 [==============================] - 0s 774us/step - loss: 0.5453
Epoch 55/100
76/76 [==============================] - 0s 735us/step - loss: 0.5441
Epoch 56/100
76/76 [==============================] - 0s 761us/step - loss: 0.5445
Epoch 57/100
76/76 [==============================] - 0s 774us/step - loss: 0.5447
Epoch 58/100
76/76 [==============================] - 0s 787us/step - loss: 0.5418
Epoch 59/100
76/76 [==============================] - 0s 761us/step - loss: 0.5424
Epoch 60/100
76/76 [==============================] - 0s 735us/step - loss: 0.5429
Epoch 61/100
76/76 [==============================] - 0s 748us/step - loss: 0.5417
Epoch 62/100
76/76 [==============================] - 0s 722us/step - loss: 0.5416
Epoch 63/100
76/76 [==============================] - 0s 709us/step - loss: 0.5413
Epoch 64/100
76/76 [==============================] - 0s 761us/step - loss: 0.5382
Epoch 65/100
76/76 [==============================] - 0s 801us/step - loss: 0.5416
Epoch 66/100
76/76 [==============================] - 0s 761us/step - loss: 0.5406
Epoch 67/100
76/76 [==============================] - 0s 761us/step - loss: 0.5403
Epoch 68/100
76/76 [==============================] - 0s 840us/step - loss: 0.5403
Epoch 69/100
76/76 [==============================] - 0s 761us/step - loss: 0.5406
Epoch 70/100
76/76 [==============================] - 0s 748us/step - loss: 0.5397
Epoch 71/100
76/76 [==============================] - 0s 800us/step - loss: 0.5389
Epoch 72/100
76/76 [==============================] - 0s 735us/step - loss: 0.5400
Epoch 73/100
76/76 [==============================] - 0s 761us/step - loss: 0.5388
Epoch 74/100
76/76 [==============================] - 0s 787us/step - loss: 0.5391
Epoch 75/100
76/76 [==============================] - 0s 774us/step - loss: 0.5397
Epoch 76/100
76/76 [==============================] - 0s 787us/step - loss: 0.5392
Epoch 77/100
76/76 [==============================] - 0s 787us/step - loss: 0.5386
Epoch 78/100
76/76 [==============================] - 0s 735us/step - loss: 0.5381
Epoch 79/100
76/76 [==============================] - 0s 774us/step - loss: 0.5380
Epoch 80/100
76/76 [==============================] - 0s 748us/step - loss: 0.5377
Epoch 81/100
76/76 [==============================] - 0s 748us/step - loss: 0.5374
Epoch 82/100
76/76 [==============================] - 0s 722us/step - loss: 0.5365
Epoch 83/100
76/76 [==============================] - 0s 748us/step - loss: 0.5363
Epoch 84/100
76/76 [==============================] - 0s 748us/step - loss: 0.5377
Epoch 85/100
76/76 [==============================] - 0s 748us/step - loss: 0.5371
Epoch 86/100
76/76 [==============================] - 0s 722us/step - loss: 0.5374
Epoch 87/100
76/76 [==============================] - 0s 748us/step - loss: 0.5347
Epoch 88/100
76/76 [==============================] - 0s 735us/step - loss: 0.5373
Epoch 89/100
76/76 [==============================] - 0s 774us/step - loss: 0.5345
Epoch 90/100
76/76 [==============================] - 0s 735us/step - loss: 0.5363
Epoch 91/100
76/76 [==============================] - 0s 787us/step - loss: 0.5354
Epoch 92/100
76/76 [==============================] - 0s 735us/step - loss: 0.5355
Epoch 93/100
76/76 [==============================] - 0s 761us/step - loss: 0.5359
Epoch 94/100
76/76 [==============================] - 0s 774us/step - loss: 0.5344
Epoch 95/100
76/76 [==============================] - 0s 761us/step - loss: 0.5356
Epoch 96/100
76/76 [==============================] - 0s 774us/step - loss: 0.5348
Epoch 97/100
76/76 [==============================] - 0s 761us/step - loss: 0.5349
Epoch 98/100
76/76 [==============================] - 0s 774us/step - loss: 0.5333
Epoch 99/100
76/76 [==============================] - 0s 735us/step - loss: 0.5357
Epoch 100/100
76/76 [==============================] - 0s 748us/step - loss: 0.5331
###################################################################### Accuracy: 71.16648336050847
Epoch 1/100
77/77 [==============================] - 0s 868us/step - loss: 0.9760
Epoch 2/100
77/77 [==============================] - 0s 850us/step - loss: 0.9148
Epoch 3/100
77/77 [==============================] - 0s 816us/step - loss: 0.8153
Epoch 4/100
77/77 [==============================] - 0s 855us/step - loss: 0.7225
Epoch 5/100
77/77 [==============================] - 0s 803us/step - loss: 0.6734
Epoch 6/100
77/77 [==============================] - 0s 803us/step - loss: 0.6546
Epoch 7/100
77/77 [==============================] - 0s 855us/step - loss: 0.6466
Epoch 8/100
77/77 [==============================] - 0s 803us/step - loss: 0.6425
Epoch 9/100
77/77 [==============================] - 0s 816us/step - loss: 0.6393
Epoch 10/100
77/77 [==============================] - 0s 829us/step - loss: 0.6362
Epoch 11/100
77/77 [==============================] - 0s 803us/step - loss: 0.6327
Epoch 12/100
77/77 [==============================] - 0s 751us/step - loss: 0.6308
Epoch 13/100
77/77 [==============================] - 0s 829us/step - loss: 0.6284
Epoch 14/100
77/77 [==============================] - 0s 764us/step - loss: 0.6246
Epoch 15/100
77/77 [==============================] - 0s 803us/step - loss: 0.6232
Epoch 16/100
77/77 [==============================] - 0s 803us/step - loss: 0.6216
Epoch 17/100
77/77 [==============================] - 0s 868us/step - loss: 0.6202
Epoch 18/100
77/77 [==============================] - 0s 816us/step - loss: 0.6163
Epoch 19/100
77/77 [==============================] - 0s 751us/step - loss: 0.6160
Epoch 20/100
77/77 [==============================] - 0s 803us/step - loss: 0.6128
Epoch 21/100
77/77 [==============================] - 0s 816us/step - loss: 0.6100
Epoch 22/100
77/77 [==============================] - 0s 790us/step - loss: 0.6091
Epoch 23/100
77/77 [==============================] - 0s 803us/step - loss: 0.6069
Epoch 24/100
77/77 [==============================] - 0s 790us/step - loss: 0.6037
Epoch 25/100
77/77 [==============================] - 0s 803us/step - loss: 0.6010
Epoch 26/100
77/77 [==============================] - 0s 777us/step - loss: 0.5987
Epoch 27/100
77/77 [==============================] - 0s 816us/step - loss: 0.5962
Epoch 28/100
77/77 [==============================] - 0s 842us/step - loss: 0.5939
Epoch 29/100
77/77 [==============================] - 0s 829us/step - loss: 0.5930
Epoch 30/100
77/77 [==============================] - 0s 803us/step - loss: 0.5904
Epoch 31/100
77/77 [==============================] - 0s 803us/step - loss: 0.5897
Epoch 32/100
77/77 [==============================] - 0s 829us/step - loss: 0.5894
Epoch 33/100
77/77 [==============================] - 0s 816us/step - loss: 0.5879
Epoch 34/100
77/77 [==============================] - 0s 803us/step - loss: 0.5857
Epoch 35/100
77/77 [==============================] - 0s 790us/step - loss: 0.5863
Epoch 36/100
77/77 [==============================] - 0s 816us/step - loss: 0.5845
Epoch 37/100
77/77 [==============================] - 0s 816us/step - loss: 0.5794
Epoch 38/100
77/77 [==============================] - 0s 764us/step - loss: 0.5834
Epoch 39/100
77/77 [==============================] - 0s 777us/step - loss: 0.5828
Epoch 40/100
77/77 [==============================] - 0s 777us/step - loss: 0.5808
Epoch 41/100
77/77 [==============================] - 0s 790us/step - loss: 0.5812
Epoch 42/100
77/77 [==============================] - 0s 764us/step - loss: 0.5804
Epoch 43/100
77/77 [==============================] - 0s 816us/step - loss: 0.5792
Epoch 44/100
77/77 [==============================] - 0s 816us/step - loss: 0.5784
Epoch 45/100
77/77 [==============================] - 0s 816us/step - loss: 0.5781
Epoch 46/100
77/77 [==============================] - 0s 803us/step - loss: 0.5774
Epoch 47/100
77/77 [==============================] - 0s 777us/step - loss: 0.5759
Epoch 48/100
77/77 [==============================] - 0s 790us/step - loss: 0.5765
Epoch 49/100
77/77 [==============================] - 0s 777us/step - loss: 0.5746
Epoch 50/100
77/77 [==============================] - 0s 803us/step - loss: 0.5742
Epoch 51/100
77/77 [==============================] - 0s 777us/step - loss: 0.5743
Epoch 52/100
77/77 [==============================] - 0s 790us/step - loss: 0.5718
Epoch 53/100
77/77 [==============================] - 0s 816us/step - loss: 0.5729
Epoch 54/100
77/77 [==============================] - 0s 842us/step - loss: 0.5719
Epoch 55/100
77/77 [==============================] - 0s 790us/step - loss: 0.5715
Epoch 56/100
77/77 [==============================] - 0s 790us/step - loss: 0.5715
Epoch 57/100
77/77 [==============================] - 0s 751us/step - loss: 0.5713
Epoch 58/100
77/77 [==============================] - 0s 777us/step - loss: 0.5694
Epoch 59/100
77/77 [==============================] - 0s 803us/step - loss: 0.5698
Epoch 60/100
77/77 [==============================] - 0s 751us/step - loss: 0.5691
Epoch 61/100
77/77 [==============================] - 0s 816us/step - loss: 0.5687
Epoch 62/100
77/77 [==============================] - 0s 751us/step - loss: 0.5679
Epoch 63/100
77/77 [==============================] - 0s 803us/step - loss: 0.5677
Epoch 64/100
77/77 [==============================] - 0s 777us/step - loss: 0.5679
Epoch 65/100
77/77 [==============================] - 0s 816us/step - loss: 0.5666
Epoch 66/100
77/77 [==============================] - 0s 790us/step - loss: 0.5664
Epoch 67/100
77/77 [==============================] - 0s 764us/step - loss: 0.5659
Epoch 68/100
77/77 [==============================] - 0s 803us/step - loss: 0.5652
Epoch 69/100
77/77 [==============================] - 0s 751us/step - loss: 0.5661
Epoch 70/100
77/77 [==============================] - 0s 829us/step - loss: 0.5653
Epoch 71/100
77/77 [==============================] - 0s 777us/step - loss: 0.5652
Epoch 72/100
77/77 [==============================] - 0s 777us/step - loss: 0.5643
Epoch 73/100
77/77 [==============================] - 0s 764us/step - loss: 0.5652
Epoch 74/100
77/77 [==============================] - 0s 751us/step - loss: 0.5651
Epoch 75/100
77/77 [==============================] - 0s 777us/step - loss: 0.5623
Epoch 76/100
77/77 [==============================] - 0s 777us/step - loss: 0.5624
Epoch 77/100
77/77 [==============================] - 0s 751us/step - loss: 0.5630
Epoch 78/100
77/77 [==============================] - 0s 790us/step - loss: 0.5623
Epoch 79/100
77/77 [==============================] - 0s 777us/step - loss: 0.5618
Epoch 80/100
77/77 [==============================] - 0s 803us/step - loss: 0.5618
Epoch 81/100
77/77 [==============================] - 0s 790us/step - loss: 0.5602
Epoch 82/100
77/77 [==============================] - 0s 764us/step - loss: 0.5603
Epoch 83/100
77/77 [==============================] - 0s 803us/step - loss: 0.5594
Epoch 84/100
77/77 [==============================] - 0s 803us/step - loss: 0.5600
Epoch 85/100
77/77 [==============================] - 0s 803us/step - loss: 0.5585
Epoch 86/100
77/77 [==============================] - 0s 790us/step - loss: 0.5585
Epoch 87/100
77/77 [==============================] - 0s 751us/step - loss: 0.5598
Epoch 88/100
77/77 [==============================] - 0s 816us/step - loss: 0.5592
Epoch 89/100
77/77 [==============================] - 0s 764us/step - loss: 0.5588
Epoch 90/100
77/77 [==============================] - 0s 816us/step - loss: 0.5572
Epoch 91/100
77/77 [==============================] - 0s 829us/step - loss: 0.5572
Epoch 92/100
77/77 [==============================] - 0s 790us/step - loss: 0.5565
Epoch 93/100
77/77 [==============================] - 0s 803us/step - loss: 0.5571
Epoch 94/100
77/77 [==============================] - 0s 816us/step - loss: 0.5567
Epoch 95/100
77/77 [==============================] - 0s 816us/step - loss: 0.5555
Epoch 96/100
77/77 [==============================] - 0s 868us/step - loss: 0.5563
Epoch 97/100
77/77 [==============================] - 0s 816us/step - loss: 0.5548
Epoch 98/100
77/77 [==============================] - 0s 790us/step - loss: 0.5563
Epoch 99/100
77/77 [==============================] - 0s 816us/step - loss: 0.5544
Epoch 100/100
77/77 [==============================] - 0s 829us/step - loss: 0.5530
###################################################################### Accuracy: 74.49115097572403
Epoch 1/100
 1/77 [..............................] - ETA: 0s - loss: 0.9437WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks.
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
77/77 [==============================] - 0s 894us/step - loss: 0.9664
Epoch 2/100
77/77 [==============================] - 0s 816us/step - loss: 0.9089
Epoch 3/100
77/77 [==============================] - 0s 790us/step - loss: 0.8128
Epoch 4/100
77/77 [==============================] - 0s 816us/step - loss: 0.7280
Epoch 5/100
77/77 [==============================] - 0s 777us/step - loss: 0.6696
Epoch 6/100
77/77 [==============================] - 0s 816us/step - loss: 0.6396
Epoch 7/100
77/77 [==============================] - 0s 816us/step - loss: 0.6242
Epoch 8/100
77/77 [==============================] - 0s 803us/step - loss: 0.6138
Epoch 9/100
77/77 [==============================] - 0s 790us/step - loss: 0.6083
Epoch 10/100
77/77 [==============================] - 0s 764us/step - loss: 0.6045
Epoch 11/100
77/77 [==============================] - 0s 816us/step - loss: 0.6009
Epoch 12/100
77/77 [==============================] - 0s 829us/step - loss: 0.5979
Epoch 13/100
77/77 [==============================] - 0s 790us/step - loss: 0.5953
Epoch 14/100
77/77 [==============================] - 0s 790us/step - loss: 0.5934
Epoch 15/100
77/77 [==============================] - 0s 803us/step - loss: 0.5906
Epoch 16/100
77/77 [==============================] - 0s 816us/step - loss: 0.5878
Epoch 17/100
77/77 [==============================] - 0s 790us/step - loss: 0.5862
Epoch 18/100
77/77 [==============================] - 0s 764us/step - loss: 0.5829
Epoch 19/100
77/77 [==============================] - 0s 751us/step - loss: 0.5803
Epoch 20/100
77/77 [==============================] - 0s 764us/step - loss: 0.5791
Epoch 21/100
77/77 [==============================] - 0s 764us/step - loss: 0.5759
Epoch 22/100
77/77 [==============================] - 0s 1ms/step - loss: 0.5755
Epoch 23/100
77/77 [==============================] - 0s 868us/step - loss: 0.5732
Epoch 24/100
77/77 [==============================] - 0s 829us/step - loss: 0.5726
Epoch 25/100
77/77 [==============================] - 0s 920us/step - loss: 0.5700
Epoch 26/100
77/77 [==============================] - 0s 764us/step - loss: 0.5690
Epoch 27/100
77/77 [==============================] - 0s 764us/step - loss: 0.5678
Epoch 28/100
77/77 [==============================] - 0s 777us/step - loss: 0.5668
Epoch 29/100
77/77 [==============================] - 0s 803us/step - loss: 0.5666
Epoch 30/100
77/77 [==============================] - 0s 803us/step - loss: 0.5659
Epoch 31/100
77/77 [==============================] - 0s 790us/step - loss: 0.5636
Epoch 32/100
77/77 [==============================] - 0s 790us/step - loss: 0.5633
Epoch 33/100
77/77 [==============================] - 0s 738us/step - loss: 0.5621
Epoch 34/100
77/77 [==============================] - 0s 764us/step - loss: 0.5612
Epoch 35/100
77/77 [==============================] - 0s 790us/step - loss: 0.5591
Epoch 36/100
77/77 [==============================] - 0s 764us/step - loss: 0.5590
Epoch 37/100
77/77 [==============================] - 0s 764us/step - loss: 0.5597
Epoch 38/100
77/77 [==============================] - 0s 816us/step - loss: 0.5586
Epoch 39/100
77/77 [==============================] - 0s 816us/step - loss: 0.5579
Epoch 40/100
77/77 [==============================] - 0s 764us/step - loss: 0.5569
Epoch 41/100
77/77 [==============================] - 0s 790us/step - loss: 0.5568
Epoch 42/100
77/77 [==============================] - 0s 803us/step - loss: 0.5558
Epoch 43/100
77/77 [==============================] - 0s 764us/step - loss: 0.5549
Epoch 44/100
77/77 [==============================] - 0s 764us/step - loss: 0.5535
Epoch 45/100
77/77 [==============================] - 0s 777us/step - loss: 0.5548
Epoch 46/100
77/77 [==============================] - 0s 816us/step - loss: 0.5531
Epoch 47/100
77/77 [==============================] - 0s 777us/step - loss: 0.5533
Epoch 48/100
77/77 [==============================] - 0s 777us/step - loss: 0.5529
Epoch 49/100
77/77 [==============================] - 0s 855us/step - loss: 0.5526
Epoch 50/100
77/77 [==============================] - 0s 803us/step - loss: 0.5522
Epoch 51/100
77/77 [==============================] - 0s 816us/step - loss: 0.5496
Epoch 52/100
77/77 [==============================] - 0s 777us/step - loss: 0.5494
Epoch 53/100
77/77 [==============================] - 0s 751us/step - loss: 0.5510
Epoch 54/100
77/77 [==============================] - 0s 764us/step - loss: 0.5488
Epoch 55/100
77/77 [==============================] - 0s 764us/step - loss: 0.5487
Epoch 56/100
77/77 [==============================] - 0s 751us/step - loss: 0.5480
Epoch 57/100
77/77 [==============================] - 0s 751us/step - loss: 0.5480 0s - loss: 0.542
Epoch 58/100
77/77 [==============================] - 0s 738us/step - loss: 0.5467
Epoch 59/100
77/77 [==============================] - 0s 738us/step - loss: 0.5471
Epoch 60/100
77/77 [==============================] - 0s 777us/step - loss: 0.5456
Epoch 61/100
77/77 [==============================] - 0s 751us/step - loss: 0.5436
Epoch 62/100
77/77 [==============================] - 0s 777us/step - loss: 0.5453
Epoch 63/100
77/77 [==============================] - 0s 777us/step - loss: 0.5440
Epoch 64/100
77/77 [==============================] - 0s 764us/step - loss: 0.5435
Epoch 65/100
77/77 [==============================] - 0s 803us/step - loss: 0.5402
Epoch 66/100
77/77 [==============================] - 0s 777us/step - loss: 0.5430
Epoch 67/100
77/77 [==============================] - 0s 790us/step - loss: 0.5437
Epoch 68/100
77/77 [==============================] - 0s 816us/step - loss: 0.5427
Epoch 69/100
77/77 [==============================] - 0s 790us/step - loss: 0.5420
Epoch 70/100
77/77 [==============================] - 0s 764us/step - loss: 0.5412
Epoch 71/100
77/77 [==============================] - 0s 764us/step - loss: 0.5413
Epoch 72/100
77/77 [==============================] - 0s 777us/step - loss: 0.5394
Epoch 73/100
77/77 [==============================] - 0s 751us/step - loss: 0.5408
Epoch 74/100
77/77 [==============================] - 0s 751us/step - loss: 0.5388
Epoch 75/100
77/77 [==============================] - 0s 803us/step - loss: 0.5398
Epoch 76/100
77/77 [==============================] - 0s 803us/step - loss: 0.5377
Epoch 77/100
77/77 [==============================] - 0s 764us/step - loss: 0.5393
Epoch 78/100
77/77 [==============================] - 0s 803us/step - loss: 0.5351
Epoch 79/100
77/77 [==============================] - 0s 777us/step - loss: 0.5366
Epoch 80/100
77/77 [==============================] - 0s 777us/step - loss: 0.5380
Epoch 81/100
77/77 [==============================] - 0s 790us/step - loss: 0.5350
Epoch 82/100
77/77 [==============================] - 0s 777us/step - loss: 0.5356
Epoch 83/100
77/77 [==============================] - 0s 816us/step - loss: 0.5362
Epoch 84/100
77/77 [==============================] - 0s 790us/step - loss: 0.5329
Epoch 85/100
77/77 [==============================] - 0s 790us/step - loss: 0.5357
Epoch 86/100
77/77 [==============================] - 0s 777us/step - loss: 0.5355
Epoch 87/100
77/77 [==============================] - 0s 829us/step - loss: 0.5343
Epoch 88/100
77/77 [==============================] - 0s 829us/step - loss: 0.5352
Epoch 89/100
77/77 [==============================] - 0s 816us/step - loss: 0.5329
Epoch 90/100
77/77 [==============================] - 0s 738us/step - loss: 0.5314
Epoch 91/100
77/77 [==============================] - 0s 790us/step - loss: 0.5353
Epoch 92/100
77/77 [==============================] - 0s 829us/step - loss: 0.5335
Epoch 93/100
77/77 [==============================] - 0s 764us/step - loss: 0.5339
Epoch 94/100
77/77 [==============================] - 0s 816us/step - loss: 0.5324
Epoch 95/100
77/77 [==============================] - 0s 816us/step - loss: 0.5333
Epoch 96/100
77/77 [==============================] - 0s 803us/step - loss: 0.5312
Epoch 97/100
77/77 [==============================] - 0s 790us/step - loss: 0.5327
Epoch 98/100
77/77 [==============================] - 0s 790us/step - loss: 0.5317
Epoch 99/100
77/77 [==============================] - 0s 829us/step - loss: 0.5308
Epoch 100/100
77/77 [==============================] - 0s 790us/step - loss: 0.5289
###################################################################### Accuracy: 98.88281113742732
Epoch 1/100
77/77 [==============================] - 0s 988us/step - loss: 1.0105
Epoch 2/100
77/77 [==============================] - 0s 842us/step - loss: 0.9532
Epoch 3/100
77/77 [==============================] - 0s 751us/step - loss: 0.8736
Epoch 4/100
77/77 [==============================] - 0s 790us/step - loss: 0.8122
Epoch 5/100
77/77 [==============================] - 0s 816us/step - loss: 0.7711
Epoch 6/100
77/77 [==============================] - 0s 790us/step - loss: 0.7349
Epoch 7/100
77/77 [==============================] - 0s 803us/step - loss: 0.7037
Epoch 8/100
77/77 [==============================] - 0s 777us/step - loss: 0.6798
Epoch 9/100
77/77 [==============================] - 0s 816us/step - loss: 0.6616
Epoch 10/100
77/77 [==============================] - 0s 764us/step - loss: 0.6475
Epoch 11/100
77/77 [==============================] - 0s 816us/step - loss: 0.6387
Epoch 12/100
77/77 [==============================] - 0s 790us/step - loss: 0.6302
Epoch 13/100
77/77 [==============================] - 0s 803us/step - loss: 0.6258
Epoch 14/100
77/77 [==============================] - 0s 764us/step - loss: 0.6198
Epoch 15/100
77/77 [==============================] - 0s 764us/step - loss: 0.6168
Epoch 16/100
77/77 [==============================] - 0s 829us/step - loss: 0.6129
Epoch 17/100
77/77 [==============================] - 0s 842us/step - loss: 0.6106
Epoch 18/100
77/77 [==============================] - 0s 816us/step - loss: 0.6069
Epoch 19/100
77/77 [==============================] - 0s 790us/step - loss: 0.6040
Epoch 20/100
77/77 [==============================] - 0s 790us/step - loss: 0.6032
Epoch 21/100
77/77 [==============================] - 0s 829us/step - loss: 0.6007
Epoch 22/100
77/77 [==============================] - 0s 816us/step - loss: 0.5993
Epoch 23/100
77/77 [==============================] - 0s 816us/step - loss: 0.5977
Epoch 24/100
77/77 [==============================] - 0s 790us/step - loss: 0.5963
Epoch 25/100
77/77 [==============================] - 0s 764us/step - loss: 0.5953
Epoch 26/100
77/77 [==============================] - 0s 803us/step - loss: 0.5932
Epoch 27/100
77/77 [==============================] - 0s 816us/step - loss: 0.5936
Epoch 28/100
77/77 [==============================] - 0s 855us/step - loss: 0.5905
Epoch 29/100
77/77 [==============================] - 0s 816us/step - loss: 0.5903
Epoch 30/100
77/77 [==============================] - 0s 816us/step - loss: 0.5893
Epoch 31/100
77/77 [==============================] - 0s 764us/step - loss: 0.5875
Epoch 32/100
77/77 [==============================] - 0s 725us/step - loss: 0.5876
Epoch 33/100
77/77 [==============================] - 0s 790us/step - loss: 0.5866
Epoch 34/100
77/77 [==============================] - 0s 816us/step - loss: 0.5844
Epoch 35/100
77/77 [==============================] - 0s 842us/step - loss: 0.5851
Epoch 36/100
77/77 [==============================] - 0s 855us/step - loss: 0.5844
Epoch 37/100
77/77 [==============================] - 0s 816us/step - loss: 0.5824
Epoch 38/100
77/77 [==============================] - 0s 803us/step - loss: 0.5823
Epoch 39/100
77/77 [==============================] - 0s 764us/step - loss: 0.5813
Epoch 40/100
77/77 [==============================] - 0s 764us/step - loss: 0.5799
Epoch 41/100
77/77 [==============================] - 0s 790us/step - loss: 0.5798
Epoch 42/100
77/77 [==============================] - 0s 738us/step - loss: 0.5792
Epoch 43/100
77/77 [==============================] - 0s 790us/step - loss: 0.5792
Epoch 44/100
77/77 [==============================] - 0s 829us/step - loss: 0.5775
Epoch 45/100
77/77 [==============================] - 0s 790us/step - loss: 0.5777
Epoch 46/100
77/77 [==============================] - 0s 816us/step - loss: 0.5771
Epoch 47/100
77/77 [==============================] - 0s 803us/step - loss: 0.5744
Epoch 48/100
77/77 [==============================] - 0s 803us/step - loss: 0.5745
Epoch 49/100
77/77 [==============================] - 0s 790us/step - loss: 0.5728
Epoch 50/100
77/77 [==============================] - 0s 816us/step - loss: 0.5723
Epoch 51/100
77/77 [==============================] - 0s 790us/step - loss: 0.5752
Epoch 52/100
77/77 [==============================] - 0s 777us/step - loss: 0.5746
Epoch 53/100
77/77 [==============================] - 0s 764us/step - loss: 0.5736
Epoch 54/100
77/77 [==============================] - 0s 751us/step - loss: 0.5730
Epoch 55/100
77/77 [==============================] - 0s 764us/step - loss: 0.5732
Epoch 56/100
77/77 [==============================] - 0s 777us/step - loss: 0.5727
Epoch 57/100
77/77 [==============================] - 0s 777us/step - loss: 0.5712
Epoch 58/100
77/77 [==============================] - 0s 790us/step - loss: 0.5725
Epoch 59/100
77/77 [==============================] - 0s 751us/step - loss: 0.5702
Epoch 60/100
77/77 [==============================] - 0s 777us/step - loss: 0.5692
Epoch 61/100
77/77 [==============================] - 0s 790us/step - loss: 0.5720
Epoch 62/100
77/77 [==============================] - 0s 764us/step - loss: 0.5703
Epoch 63/100
77/77 [==============================] - 0s 777us/step - loss: 0.5689
Epoch 64/100
77/77 [==============================] - 0s 764us/step - loss: 0.5702
Epoch 65/100
77/77 [==============================] - 0s 790us/step - loss: 0.5677
Epoch 66/100
77/77 [==============================] - 0s 803us/step - loss: 0.5672
Epoch 67/100
77/77 [==============================] - 0s 790us/step - loss: 0.5683
Epoch 68/100
77/77 [==============================] - 0s 790us/step - loss: 0.5682
Epoch 69/100
77/77 [==============================] - 0s 803us/step - loss: 0.5674
Epoch 70/100
77/77 [==============================] - 0s 829us/step - loss: 0.5667
Epoch 71/100
77/77 [==============================] - 0s 829us/step - loss: 0.5670
Epoch 72/100
77/77 [==============================] - 0s 842us/step - loss: 0.5669
Epoch 73/100
77/77 [==============================] - 0s 790us/step - loss: 0.5665
Epoch 74/100
77/77 [==============================] - 0s 790us/step - loss: 0.5661
Epoch 75/100
77/77 [==============================] - 0s 764us/step - loss: 0.5649
Epoch 76/100
77/77 [==============================] - 0s 790us/step - loss: 0.5660
Epoch 77/100
77/77 [==============================] - 0s 764us/step - loss: 0.5646
Epoch 78/100
77/77 [==============================] - 0s 751us/step - loss: 0.5655
Epoch 79/100
77/77 [==============================] - 0s 816us/step - loss: 0.5649
Epoch 80/100
77/77 [==============================] - 0s 816us/step - loss: 0.5647
Epoch 81/100
77/77 [==============================] - 0s 803us/step - loss: 0.5633
Epoch 82/100
77/77 [==============================] - 0s 803us/step - loss: 0.5638
Epoch 83/100
77/77 [==============================] - 0s 803us/step - loss: 0.5631
Epoch 84/100
77/77 [==============================] - 0s 764us/step - loss: 0.5640
Epoch 85/100
77/77 [==============================] - 0s 751us/step - loss: 0.5635
Epoch 86/100
77/77 [==============================] - 0s 790us/step - loss: 0.5619
Epoch 87/100
77/77 [==============================] - 0s 829us/step - loss: 0.5619
Epoch 88/100
77/77 [==============================] - 0s 829us/step - loss: 0.5623
Epoch 89/100
77/77 [==============================] - 0s 790us/step - loss: 0.5617
Epoch 90/100
77/77 [==============================] - 0s 829us/step - loss: 0.5609
Epoch 91/100
77/77 [==============================] - 0s 790us/step - loss: 0.5624
Epoch 92/100
77/77 [==============================] - 0s 790us/step - loss: 0.5614
Epoch 93/100
77/77 [==============================] - 0s 790us/step - loss: 0.5598
Epoch 94/100
77/77 [==============================] - 0s 829us/step - loss: 0.5563
Epoch 95/100
77/77 [==============================] - 0s 803us/step - loss: 0.5599
Epoch 96/100
77/77 [==============================] - 0s 777us/step - loss: 0.5590
Epoch 97/100
77/77 [==============================] - 0s 751us/step - loss: 0.5612
Epoch 98/100
77/77 [==============================] - 0s 790us/step - loss: 0.5591
Epoch 99/100
77/77 [==============================] - 0s 816us/step - loss: 0.5593
Epoch 100/100
77/77 [==============================] - 0s 790us/step - loss: 0.5570
###################################################################### Accuracy: 79.66075027983955
Epoch 1/100
77/77 [==============================] - 0s 855us/step - loss: 0.9927
Epoch 2/100
77/77 [==============================] - 0s 795us/step - loss: 0.9406
Epoch 3/100
77/77 [==============================] - 0s 803us/step - loss: 0.8648
Epoch 4/100
77/77 [==============================] - 0s 803us/step - loss: 0.8227
Epoch 5/100
77/77 [==============================] - 0s 816us/step - loss: 0.7963
Epoch 6/100
77/77 [==============================] - 0s 777us/step - loss: 0.7762
Epoch 7/100
77/77 [==============================] - 0s 803us/step - loss: 0.7588
Epoch 8/100
77/77 [==============================] - 0s 842us/step - loss: 0.7423
Epoch 9/100
77/77 [==============================] - 0s 777us/step - loss: 0.7261
Epoch 10/100
77/77 [==============================] - 0s 738us/step - loss: 0.7153
Epoch 11/100
77/77 [==============================] - 0s 777us/step - loss: 0.7035
Epoch 12/100
77/77 [==============================] - 0s 738us/step - loss: 0.6928
Epoch 13/100
77/77 [==============================] - 0s 816us/step - loss: 0.6836
Epoch 14/100
77/77 [==============================] - 0s 816us/step - loss: 0.6749
Epoch 15/100
77/77 [==============================] - 0s 790us/step - loss: 0.6672
Epoch 16/100
77/77 [==============================] - 0s 751us/step - loss: 0.6597
Epoch 17/100
77/77 [==============================] - 0s 751us/step - loss: 0.6518
Epoch 18/100
77/77 [==============================] - 0s 751us/step - loss: 0.6453
Epoch 19/100
77/77 [==============================] - 0s 803us/step - loss: 0.6394
Epoch 20/100
77/77 [==============================] - 0s 816us/step - loss: 0.6325
Epoch 21/100
77/77 [==============================] - 0s 816us/step - loss: 0.6285
Epoch 22/100
77/77 [==============================] - 0s 790us/step - loss: 0.6234
Epoch 23/100
77/77 [==============================] - 0s 751us/step - loss: 0.6189
Epoch 24/100
77/77 [==============================] - 0s 764us/step - loss: 0.6134
Epoch 25/100
77/77 [==============================] - 0s 790us/step - loss: 0.6126
Epoch 26/100
77/77 [==============================] - 0s 816us/step - loss: 0.6080
Epoch 27/100
77/77 [==============================] - 0s 829us/step - loss: 0.6046
Epoch 28/100
77/77 [==============================] - 0s 829us/step - loss: 0.6012
Epoch 29/100
77/77 [==============================] - 0s 816us/step - loss: 0.5987
Epoch 30/100
77/77 [==============================] - 0s 803us/step - loss: 0.5962
Epoch 31/100
77/77 [==============================] - 0s 803us/step - loss: 0.5930
Epoch 32/100
77/77 [==============================] - 0s 777us/step - loss: 0.5926
Epoch 33/100
77/77 [==============================] - 0s 816us/step - loss: 0.5895
Epoch 34/100
77/77 [==============================] - 0s 803us/step - loss: 0.5885
Epoch 35/100
77/77 [==============================] - 0s 803us/step - loss: 0.5852
Epoch 36/100
77/77 [==============================] - 0s 803us/step - loss: 0.5782
Epoch 37/100
77/77 [==============================] - 0s 751us/step - loss: 0.5810
Epoch 38/100
77/77 [==============================] - 0s 777us/step - loss: 0.5801
Epoch 39/100
77/77 [==============================] - 0s 803us/step - loss: 0.5789
Epoch 40/100
77/77 [==============================] - 0s 803us/step - loss: 0.5760
Epoch 41/100
77/77 [==============================] - 0s 803us/step - loss: 0.5771
Epoch 42/100
77/77 [==============================] - 0s 816us/step - loss: 0.5750
Epoch 43/100
77/77 [==============================] - 0s 777us/step - loss: 0.5730
Epoch 44/100
77/77 [==============================] - 0s 816us/step - loss: 0.5710
Epoch 45/100
77/77 [==============================] - 0s 803us/step - loss: 0.5706
Epoch 46/100
77/77 [==============================] - 0s 790us/step - loss: 0.5695
Epoch 47/100
77/77 [==============================] - 0s 751us/step - loss: 0.5684
Epoch 48/100
77/77 [==============================] - 0s 738us/step - loss: 0.5670
Epoch 49/100
77/77 [==============================] - 0s 777us/step - loss: 0.5660
Epoch 50/100
77/77 [==============================] - 0s 816us/step - loss: 0.5659
Epoch 51/100
77/77 [==============================] - 0s 790us/step - loss: 0.5637
Epoch 52/100
77/77 [==============================] - 0s 764us/step - loss: 0.5637
Epoch 53/100
77/77 [==============================] - 0s 751us/step - loss: 0.5606
Epoch 54/100
77/77 [==============================] - 0s 777us/step - loss: 0.5621
Epoch 55/100
77/77 [==============================] - 0s 803us/step - loss: 0.5614
Epoch 56/100
77/77 [==============================] - 0s 803us/step - loss: 0.5595
Epoch 57/100
77/77 [==============================] - 0s 777us/step - loss: 0.5600
Epoch 58/100
77/77 [==============================] - 0s 803us/step - loss: 0.5591
Epoch 59/100
77/77 [==============================] - 0s 751us/step - loss: 0.5578
Epoch 60/100
77/77 [==============================] - 0s 777us/step - loss: 0.5575
Epoch 61/100
77/77 [==============================] - 0s 764us/step - loss: 0.5573
Epoch 62/100
77/77 [==============================] - 0s 777us/step - loss: 0.5559
Epoch 63/100
77/77 [==============================] - 0s 777us/step - loss: 0.5560
Epoch 64/100
77/77 [==============================] - 0s 790us/step - loss: 0.5537
Epoch 65/100
77/77 [==============================] - 0s 764us/step - loss: 0.5539
Epoch 66/100
77/77 [==============================] - 0s 790us/step - loss: 0.5532
Epoch 67/100
77/77 [==============================] - 0s 790us/step - loss: 0.5519
Epoch 68/100
77/77 [==============================] - 0s 751us/step - loss: 0.5522
Epoch 69/100
77/77 [==============================] - 0s 790us/step - loss: 0.5519
Epoch 70/100
77/77 [==============================] - 0s 777us/step - loss: 0.5514
Epoch 71/100
77/77 [==============================] - 0s 829us/step - loss: 0.5490
Epoch 72/100
77/77 [==============================] - 0s 842us/step - loss: 0.5516
Epoch 73/100
77/77 [==============================] - 0s 816us/step - loss: 0.5485
Epoch 74/100
77/77 [==============================] - 0s 829us/step - loss: 0.5477
Epoch 75/100
77/77 [==============================] - 0s 816us/step - loss: 0.5490
Epoch 76/100
77/77 [==============================] - 0s 764us/step - loss: 0.5483
Epoch 77/100
77/77 [==============================] - 0s 764us/step - loss: 0.5492
Epoch 78/100
77/77 [==============================] - 0s 816us/step - loss: 0.5479
Epoch 79/100
77/77 [==============================] - 0s 777us/step - loss: 0.5475
Epoch 80/100
77/77 [==============================] - 0s 829us/step - loss: 0.5427
Epoch 81/100
77/77 [==============================] - 0s 829us/step - loss: 0.5464
Epoch 82/100
77/77 [==============================] - 0s 803us/step - loss: 0.5472
Epoch 83/100
77/77 [==============================] - 0s 803us/step - loss: 0.5456
Epoch 84/100
77/77 [==============================] - 0s 829us/step - loss: 0.5462
Epoch 85/100
77/77 [==============================] - 0s 790us/step - loss: 0.5447
Epoch 86/100
77/77 [==============================] - 0s 816us/step - loss: 0.5454
Epoch 87/100
77/77 [==============================] - 0s 790us/step - loss: 0.5437
Epoch 88/100
77/77 [==============================] - 0s 816us/step - loss: 0.5444
Epoch 89/100
77/77 [==============================] - 0s 777us/step - loss: 0.5426
Epoch 90/100
77/77 [==============================] - 0s 803us/step - loss: 0.5417
Epoch 91/100
77/77 [==============================] - 0s 829us/step - loss: 0.5421
Epoch 92/100
77/77 [==============================] - 0s 803us/step - loss: 0.5419
Epoch 93/100
77/77 [==============================] - 0s 803us/step - loss: 0.5414
Epoch 94/100
77/77 [==============================] - 0s 738us/step - loss: 0.5420
Epoch 95/100
77/77 [==============================] - 0s 803us/step - loss: 0.5424
Epoch 96/100
77/77 [==============================] - 0s 764us/step - loss: 0.5405
Epoch 97/100
77/77 [==============================] - 0s 790us/step - loss: 0.5400
Epoch 98/100
77/77 [==============================] - 0s 790us/step - loss: 0.5405
Epoch 99/100
77/77 [==============================] - 0s 764us/step - loss: 0.5387
Epoch 100/100
77/77 [==============================] - 0s 790us/step - loss: 0.5382
###################################################################### Accuracy: 75.13815539220329
Epoch 1/150
76/76 [==============================] - 0s 761us/step - loss: 1.0108
Epoch 2/150
76/76 [==============================] - 0s 774us/step - loss: 0.9722
Epoch 3/150
76/76 [==============================] - 0s 774us/step - loss: 0.8836
Epoch 4/150
76/76 [==============================] - 0s 800us/step - loss: 0.7702
Epoch 5/150
76/76 [==============================] - 0s 748us/step - loss: 0.6913
Epoch 6/150
76/76 [==============================] - 0s 787us/step - loss: 0.6542
Epoch 7/150
76/76 [==============================] - 0s 709us/step - loss: 0.6388
Epoch 8/150
76/76 [==============================] - 0s 748us/step - loss: 0.6295 0s - loss: 0.628
Epoch 9/150
76/76 [==============================] - 0s 761us/step - loss: 0.6242
Epoch 10/150
76/76 [==============================] - 0s 774us/step - loss: 0.6197
Epoch 11/150
76/76 [==============================] - 0s 800us/step - loss: 0.6151
Epoch 12/150
76/76 [==============================] - 0s 800us/step - loss: 0.6108
Epoch 13/150
76/76 [==============================] - 0s 905us/step - loss: 0.6088
Epoch 14/150
76/76 [==============================] - 0s 761us/step - loss: 0.6057
Epoch 15/150
76/76 [==============================] - 0s 722us/step - loss: 0.6025
Epoch 16/150
76/76 [==============================] - 0s 709us/step - loss: 0.6008
Epoch 17/150
76/76 [==============================] - 0s 800us/step - loss: 0.5973
Epoch 18/150
76/76 [==============================] - 0s 801us/step - loss: 0.5958
Epoch 19/150
76/76 [==============================] - 0s 801us/step - loss: 0.5933
Epoch 20/150
76/76 [==============================] - 0s 761us/step - loss: 0.5916
Epoch 21/150
76/76 [==============================] - 0s 787us/step - loss: 0.5891
Epoch 22/150
76/76 [==============================] - 0s 827us/step - loss: 0.5870
Epoch 23/150
76/76 [==============================] - 0s 814us/step - loss: 0.5867
Epoch 24/150
76/76 [==============================] - 0s 709us/step - loss: 0.5848
Epoch 25/150
76/76 [==============================] - 0s 761us/step - loss: 0.5825
Epoch 26/150
76/76 [==============================] - 0s 722us/step - loss: 0.5816
Epoch 27/150
76/76 [==============================] - 0s 709us/step - loss: 0.5804
Epoch 28/150
76/76 [==============================] - 0s 748us/step - loss: 0.5799
Epoch 29/150
76/76 [==============================] - 0s 787us/step - loss: 0.5792
Epoch 30/150
76/76 [==============================] - 0s 761us/step - loss: 0.5766
Epoch 31/150
76/76 [==============================] - 0s 709us/step - loss: 0.5771
Epoch 32/150
76/76 [==============================] - 0s 682us/step - loss: 0.5752
Epoch 33/150
76/76 [==============================] - 0s 774us/step - loss: 0.5749
Epoch 34/150
76/76 [==============================] - 0s 722us/step - loss: 0.5744
Epoch 35/150
76/76 [==============================] - 0s 748us/step - loss: 0.5733
Epoch 36/150
76/76 [==============================] - 0s 735us/step - loss: 0.5724
Epoch 37/150
76/76 [==============================] - 0s 787us/step - loss: 0.5707
Epoch 38/150
76/76 [==============================] - 0s 787us/step - loss: 0.5696
Epoch 39/150
76/76 [==============================] - 0s 761us/step - loss: 0.5688
Epoch 40/150
76/76 [==============================] - 0s 761us/step - loss: 0.5676
Epoch 41/150
76/76 [==============================] - 0s 748us/step - loss: 0.5676
Epoch 42/150
76/76 [==============================] - 0s 800us/step - loss: 0.5676
Epoch 43/150
76/76 [==============================] - 0s 774us/step - loss: 0.5650
Epoch 44/150
76/76 [==============================] - 0s 787us/step - loss: 0.5663
Epoch 45/150
76/76 [==============================] - 0s 722us/step - loss: 0.5647
Epoch 46/150
76/76 [==============================] - 0s 735us/step - loss: 0.5636
Epoch 47/150
76/76 [==============================] - 0s 722us/step - loss: 0.5628
Epoch 48/150
76/76 [==============================] - 0s 722us/step - loss: 0.5624
Epoch 49/150
76/76 [==============================] - 0s 748us/step - loss: 0.5621
Epoch 50/150
76/76 [==============================] - 0s 761us/step - loss: 0.5596
Epoch 51/150
76/76 [==============================] - 0s 748us/step - loss: 0.5618
Epoch 52/150
76/76 [==============================] - 0s 722us/step - loss: 0.5592
Epoch 53/150
76/76 [==============================] - 0s 748us/step - loss: 0.5593
Epoch 54/150
76/76 [==============================] - 0s 748us/step - loss: 0.5599
Epoch 55/150
76/76 [==============================] - 0s 761us/step - loss: 0.5580
Epoch 56/150
76/76 [==============================] - 0s 774us/step - loss: 0.5583
Epoch 57/150
76/76 [==============================] - 0s 761us/step - loss: 0.5575
Epoch 58/150
76/76 [==============================] - 0s 774us/step - loss: 0.5564
Epoch 59/150
76/76 [==============================] - 0s 735us/step - loss: 0.5559
Epoch 60/150
76/76 [==============================] - 0s 787us/step - loss: 0.5563
Epoch 61/150
76/76 [==============================] - 0s 735us/step - loss: 0.5557
Epoch 62/150
76/76 [==============================] - 0s 748us/step - loss: 0.5556
Epoch 63/150
76/76 [==============================] - 0s 735us/step - loss: 0.5539
Epoch 64/150
76/76 [==============================] - 0s 748us/step - loss: 0.5541
Epoch 65/150
76/76 [==============================] - 0s 774us/step - loss: 0.5529
Epoch 66/150
76/76 [==============================] - 0s 748us/step - loss: 0.5541
Epoch 67/150
76/76 [==============================] - 0s 761us/step - loss: 0.5530
Epoch 68/150
76/76 [==============================] - 0s 774us/step - loss: 0.5525
Epoch 69/150
76/76 [==============================] - 0s 709us/step - loss: 0.5519
Epoch 70/150
76/76 [==============================] - 0s 735us/step - loss: 0.5525
Epoch 71/150
76/76 [==============================] - 0s 735us/step - loss: 0.5504
Epoch 72/150
76/76 [==============================] - 0s 761us/step - loss: 0.5513
Epoch 73/150
76/76 [==============================] - 0s 827us/step - loss: 0.5514
Epoch 74/150
76/76 [==============================] - 0s 761us/step - loss: 0.5505
Epoch 75/150
76/76 [==============================] - 0s 774us/step - loss: 0.5507
Epoch 76/150
76/76 [==============================] - 0s 787us/step - loss: 0.5510
Epoch 77/150
76/76 [==============================] - 0s 748us/step - loss: 0.5485
Epoch 78/150
76/76 [==============================] - 0s 761us/step - loss: 0.5500
Epoch 79/150
76/76 [==============================] - 0s 722us/step - loss: 0.5488
Epoch 80/150
76/76 [==============================] - 0s 787us/step - loss: 0.5497
Epoch 81/150
76/76 [==============================] - 0s 787us/step - loss: 0.5486
Epoch 82/150
76/76 [==============================] - 0s 800us/step - loss: 0.5486
Epoch 83/150
76/76 [==============================] - 0s 801us/step - loss: 0.5487
Epoch 84/150
76/76 [==============================] - 0s 814us/step - loss: 0.5468
Epoch 85/150
76/76 [==============================] - 0s 735us/step - loss: 0.5476
Epoch 86/150
76/76 [==============================] - 0s 800us/step - loss: 0.5429
Epoch 87/150
76/76 [==============================] - 0s 788us/step - loss: 0.5471
Epoch 88/150
76/76 [==============================] - 0s 787us/step - loss: 0.5471
Epoch 89/150
76/76 [==============================] - 0s 800us/step - loss: 0.5456
Epoch 90/150
76/76 [==============================] - 0s 774us/step - loss: 0.5459
Epoch 91/150
76/76 [==============================] - 0s 748us/step - loss: 0.5459
Epoch 92/150
76/76 [==============================] - 0s 748us/step - loss: 0.5454
Epoch 93/150
76/76 [==============================] - 0s 748us/step - loss: 0.5445
Epoch 94/150
76/76 [==============================] - 0s 774us/step - loss: 0.5444
Epoch 95/150
76/76 [==============================] - 0s 800us/step - loss: 0.5432
Epoch 96/150
76/76 [==============================] - 0s 814us/step - loss: 0.5439
Epoch 97/150
76/76 [==============================] - 0s 774us/step - loss: 0.5453
Epoch 98/150
76/76 [==============================] - 0s 761us/step - loss: 0.5400
Epoch 99/150
76/76 [==============================] - 0s 787us/step - loss: 0.5437
Epoch 100/150
76/76 [==============================] - 0s 866us/step - loss: 0.5443
Epoch 101/150
76/76 [==============================] - 0s 761us/step - loss: 0.5426
Epoch 102/150
76/76 [==============================] - 0s 774us/step - loss: 0.5437
Epoch 103/150
76/76 [==============================] - 0s 787us/step - loss: 0.5425
Epoch 104/150
76/76 [==============================] - 0s 827us/step - loss: 0.5433
Epoch 105/150
76/76 [==============================] - 0s 709us/step - loss: 0.5409
Epoch 106/150
76/76 [==============================] - 0s 814us/step - loss: 0.5419
Epoch 107/150
76/76 [==============================] - 0s 787us/step - loss: 0.5408
Epoch 108/150
76/76 [==============================] - 0s 722us/step - loss: 0.5415
Epoch 109/150
76/76 [==============================] - 0s 748us/step - loss: 0.5408
Epoch 110/150
76/76 [==============================] - 0s 787us/step - loss: 0.5409
Epoch 111/150
76/76 [==============================] - 0s 748us/step - loss: 0.5401
Epoch 112/150
76/76 [==============================] - 0s 735us/step - loss: 0.5387
Epoch 113/150
76/76 [==============================] - 0s 800us/step - loss: 0.5376
Epoch 114/150
76/76 [==============================] - 0s 787us/step - loss: 0.5390
Epoch 115/150
76/76 [==============================] - 0s 761us/step - loss: 0.5389
Epoch 116/150
76/76 [==============================] - 0s 774us/step - loss: 0.5377
Epoch 117/150
76/76 [==============================] - 0s 827us/step - loss: 0.5388
Epoch 118/150
76/76 [==============================] - 0s 787us/step - loss: 0.5355
Epoch 119/150
76/76 [==============================] - 0s 801us/step - loss: 0.5361
Epoch 120/150
76/76 [==============================] - 0s 814us/step - loss: 0.5368
Epoch 121/150
76/76 [==============================] - 0s 787us/step - loss: 0.5363
Epoch 122/150
76/76 [==============================] - 0s 761us/step - loss: 0.5351
Epoch 123/150
76/76 [==============================] - 0s 735us/step - loss: 0.5357
Epoch 124/150
76/76 [==============================] - 0s 774us/step - loss: 0.5357
Epoch 125/150
76/76 [==============================] - 0s 1ms/step - loss: 0.5346
Epoch 126/150
76/76 [==============================] - 0s 800us/step - loss: 0.5347
Epoch 127/150
76/76 [==============================] - 0s 801us/step - loss: 0.5343
Epoch 128/150
76/76 [==============================] - 0s 879us/step - loss: 0.5349
Epoch 129/150
76/76 [==============================] - 0s 787us/step - loss: 0.5329
Epoch 130/150
76/76 [==============================] - 0s 761us/step - loss: 0.5342
Epoch 131/150
76/76 [==============================] - 0s 761us/step - loss: 0.5313
Epoch 132/150
76/76 [==============================] - 0s 800us/step - loss: 0.5340
Epoch 133/150
76/76 [==============================] - 0s 761us/step - loss: 0.5323
Epoch 134/150
76/76 [==============================] - 0s 814us/step - loss: 0.5305
Epoch 135/150
76/76 [==============================] - 0s 787us/step - loss: 0.5318
Epoch 136/150
76/76 [==============================] - 0s 774us/step - loss: 0.5306
Epoch 137/150
76/76 [==============================] - 0s 787us/step - loss: 0.5311
Epoch 138/150
76/76 [==============================] - 0s 774us/step - loss: 0.5313
Epoch 139/150
76/76 [==============================] - 0s 748us/step - loss: 0.5322
Epoch 140/150
76/76 [==============================] - 0s 735us/step - loss: 0.5305
Epoch 141/150
76/76 [==============================] - 0s 735us/step - loss: 0.5293
Epoch 142/150
76/76 [==============================] - 0s 748us/step - loss: 0.5289
Epoch 143/150
76/76 [==============================] - 0s 761us/step - loss: 0.5293
Epoch 144/150
76/76 [==============================] - 0s 800us/step - loss: 0.5271
Epoch 145/150
76/76 [==============================] - 0s 735us/step - loss: 0.5285
Epoch 146/150
76/76 [==============================] - 0s 787us/step - loss: 0.5288
Epoch 147/150
76/76 [==============================] - 0s 774us/step - loss: 0.5290
Epoch 148/150
76/76 [==============================] - 0s 774us/step - loss: 0.5292
Epoch 149/150
76/76 [==============================] - 0s 748us/step - loss: 0.5285
Epoch 150/150
76/76 [==============================] - 0s 774us/step - loss: 0.5287
###################################################################### Accuracy: 72.15502352052044
Epoch 1/150
77/77 [==============================] - 0s 1ms/step - loss: 0.9813
Epoch 2/150
77/77 [==============================] - 0s 829us/step - loss: 0.9319
Epoch 3/150
77/77 [==============================] - 0s 803us/step - loss: 0.8232
Epoch 4/150
77/77 [==============================] - 0s 777us/step - loss: 0.7266
Epoch 5/150
77/77 [==============================] - 0s 816us/step - loss: 0.6775
Epoch 6/150
77/77 [==============================] - 0s 751us/step - loss: 0.6562
Epoch 7/150
77/77 [==============================] - 0s 816us/step - loss: 0.6469
Epoch 8/150
77/77 [==============================] - 0s 842us/step - loss: 0.6412
Epoch 9/150
77/77 [==============================] - 0s 777us/step - loss: 0.6370
Epoch 10/150
77/77 [==============================] - 0s 790us/step - loss: 0.6344
Epoch 11/150
77/77 [==============================] - 0s 816us/step - loss: 0.6309
Epoch 12/150
77/77 [==============================] - 0s 816us/step - loss: 0.6275
Epoch 13/150
77/77 [==============================] - 0s 829us/step - loss: 0.6262
Epoch 14/150
77/77 [==============================] - 0s 829us/step - loss: 0.6237
Epoch 15/150
77/77 [==============================] - 0s 829us/step - loss: 0.6199
Epoch 16/150
77/77 [==============================] - 0s 777us/step - loss: 0.6180
Epoch 17/150
77/77 [==============================] - 0s 777us/step - loss: 0.6147
Epoch 18/150
77/77 [==============================] - 0s 751us/step - loss: 0.6111
Epoch 19/150
77/77 [==============================] - 0s 790us/step - loss: 0.6084
Epoch 20/150
77/77 [==============================] - 0s 816us/step - loss: 0.6060
Epoch 21/150
77/77 [==============================] - 0s 816us/step - loss: 0.6040
Epoch 22/150
77/77 [==============================] - 0s 790us/step - loss: 0.6014
Epoch 23/150
77/77 [==============================] - 0s 829us/step - loss: 0.5993
Epoch 24/150
77/77 [==============================] - 0s 803us/step - loss: 0.5962
Epoch 25/150
77/77 [==============================] - 0s 803us/step - loss: 0.5943
Epoch 26/150
77/77 [==============================] - 0s 816us/step - loss: 0.5927
Epoch 27/150
77/77 [==============================] - 0s 777us/step - loss: 0.5899
Epoch 28/150
77/77 [==============================] - 0s 829us/step - loss: 0.5892
Epoch 29/150
77/77 [==============================] - 0s 829us/step - loss: 0.5863
Epoch 30/150
77/77 [==============================] - 0s 803us/step - loss: 0.5868
Epoch 31/150
77/77 [==============================] - 0s 764us/step - loss: 0.5846
Epoch 32/150
77/77 [==============================] - 0s 803us/step - loss: 0.5836
Epoch 33/150
77/77 [==============================] - 0s 816us/step - loss: 0.5820
Epoch 34/150
77/77 [==============================] - 0s 816us/step - loss: 0.5808
Epoch 35/150
77/77 [==============================] - 0s 764us/step - loss: 0.5780
Epoch 36/150
77/77 [==============================] - 0s 816us/step - loss: 0.5792
Epoch 37/150
77/77 [==============================] - 0s 829us/step - loss: 0.5768
Epoch 38/150
77/77 [==============================] - 0s 842us/step - loss: 0.5761
Epoch 39/150
77/77 [==============================] - 0s 790us/step - loss: 0.5744
Epoch 40/150
77/77 [==============================] - 0s 751us/step - loss: 0.5732
Epoch 41/150
77/77 [==============================] - 0s 816us/step - loss: 0.5724
Epoch 42/150
77/77 [==============================] - 0s 803us/step - loss: 0.5707
Epoch 43/150
77/77 [==============================] - 0s 829us/step - loss: 0.5705
Epoch 44/150
77/77 [==============================] - 0s 777us/step - loss: 0.5692
Epoch 45/150
77/77 [==============================] - 0s 829us/step - loss: 0.5680
Epoch 46/150
77/77 [==============================] - 0s 829us/step - loss: 0.5676
Epoch 47/150
77/77 [==============================] - 0s 855us/step - loss: 0.5655
Epoch 48/150
77/77 [==============================] - 0s 790us/step - loss: 0.5664
Epoch 49/150
77/77 [==============================] - 0s 803us/step - loss: 0.5658
Epoch 50/150
77/77 [==============================] - 0s 829us/step - loss: 0.5643
Epoch 51/150
77/77 [==============================] - 0s 816us/step - loss: 0.5636
Epoch 52/150
77/77 [==============================] - 0s 816us/step - loss: 0.5639
Epoch 53/150
77/77 [==============================] - 0s 777us/step - loss: 0.5618
Epoch 54/150
77/77 [==============================] - 0s 764us/step - loss: 0.5610
Epoch 55/150
77/77 [==============================] - 0s 816us/step - loss: 0.5617
Epoch 56/150
77/77 [==============================] - 0s 829us/step - loss: 0.5610
Epoch 57/150
77/77 [==============================] - 0s 855us/step - loss: 0.5582
Epoch 58/150
77/77 [==============================] - 0s 803us/step - loss: 0.5596
Epoch 59/150
77/77 [==============================] - 0s 751us/step - loss: 0.5594
Epoch 60/150
77/77 [==============================] - 0s 816us/step - loss: 0.5577
Epoch 61/150
77/77 [==============================] - 0s 829us/step - loss: 0.5579
Epoch 62/150
77/77 [==============================] - 0s 920us/step - loss: 0.5575
Epoch 63/150
77/77 [==============================] - 0s 803us/step - loss: 0.5555
Epoch 64/150
77/77 [==============================] - 0s 842us/step - loss: 0.5560
Epoch 65/150
77/77 [==============================] - 0s 803us/step - loss: 0.5556
Epoch 66/150
77/77 [==============================] - 0s 751us/step - loss: 0.5557
Epoch 67/150
77/77 [==============================] - 0s 816us/step - loss: 0.5545
Epoch 68/150
77/77 [==============================] - 0s 790us/step - loss: 0.5535
Epoch 69/150
77/77 [==============================] - 0s 803us/step - loss: 0.5535
Epoch 70/150
77/77 [==============================] - 0s 855us/step - loss: 0.5545
Epoch 71/150
77/77 [==============================] - 0s 816us/step - loss: 0.5517
Epoch 72/150
77/77 [==============================] - 0s 855us/step - loss: 0.5513
Epoch 73/150
77/77 [==============================] - 0s 855us/step - loss: 0.5502
Epoch 74/150
77/77 [==============================] - 0s 790us/step - loss: 0.5518
Epoch 75/150
77/77 [==============================] - 0s 816us/step - loss: 0.5508
Epoch 76/150
77/77 [==============================] - 0s 816us/step - loss: 0.5507
Epoch 77/150
77/77 [==============================] - 0s 842us/step - loss: 0.5505
Epoch 78/150
77/77 [==============================] - 0s 842us/step - loss: 0.5501
Epoch 79/150
77/77 [==============================] - 0s 803us/step - loss: 0.5502
Epoch 80/150
77/77 [==============================] - 0s 790us/step - loss: 0.5480
Epoch 81/150
77/77 [==============================] - 0s 777us/step - loss: 0.5471
Epoch 82/150
77/77 [==============================] - 0s 777us/step - loss: 0.5491
Epoch 83/150
77/77 [==============================] - 0s 777us/step - loss: 0.5478
Epoch 84/150
77/77 [==============================] - 0s 751us/step - loss: 0.5461
Epoch 85/150
77/77 [==============================] - 0s 764us/step - loss: 0.5462
Epoch 86/150
77/77 [==============================] - 0s 751us/step - loss: 0.5457
Epoch 87/150
77/77 [==============================] - 0s 790us/step - loss: 0.5448
Epoch 88/150
77/77 [==============================] - 0s 777us/step - loss: 0.5449
Epoch 89/150
77/77 [==============================] - 0s 764us/step - loss: 0.5435
Epoch 90/150
77/77 [==============================] - 0s 751us/step - loss: 0.5424
Epoch 91/150
77/77 [==============================] - 0s 777us/step - loss: 0.5432
Epoch 92/150
77/77 [==============================] - 0s 816us/step - loss: 0.5420
Epoch 93/150
77/77 [==============================] - 0s 764us/step - loss: 0.5406
Epoch 94/150
77/77 [==============================] - 0s 764us/step - loss: 0.5422
Epoch 95/150
77/77 [==============================] - ETA: 0s - loss: 0.536 - 0s 777us/step - loss: 0.5398
Epoch 96/150
77/77 [==============================] - 0s 790us/step - loss: 0.5409
Epoch 97/150
77/77 [==============================] - 0s 803us/step - loss: 0.5396
Epoch 98/150
77/77 [==============================] - 0s 829us/step - loss: 0.5409
Epoch 99/150
77/77 [==============================] - 0s 803us/step - loss: 0.5389
Epoch 100/150
77/77 [==============================] - 0s 829us/step - loss: 0.5395
Epoch 101/150
77/77 [==============================] - 0s 829us/step - loss: 0.5389
Epoch 102/150
77/77 [==============================] - 0s 816us/step - loss: 0.5381
Epoch 103/150
77/77 [==============================] - 0s 829us/step - loss: 0.5381
Epoch 104/150
77/77 [==============================] - 0s 816us/step - loss: 0.5377
Epoch 105/150
77/77 [==============================] - 0s 829us/step - loss: 0.5368
Epoch 106/150
77/77 [==============================] - 0s 790us/step - loss: 0.5364
Epoch 107/150
77/77 [==============================] - 0s 855us/step - loss: 0.5371
Epoch 108/150
77/77 [==============================] - 0s 907us/step - loss: 0.5371
Epoch 109/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5361
Epoch 110/150
77/77 [==============================] - 0s 971us/step - loss: 0.5356
Epoch 111/150
77/77 [==============================] - 0s 674us/step - loss: 0.5311
Epoch 112/150
77/77 [==============================] - 0s 609us/step - loss: 0.5355
Epoch 113/150
77/77 [==============================] - 0s 699us/step - loss: 0.5347
Epoch 114/150
77/77 [==============================] - 0s 751us/step - loss: 0.5352
Epoch 115/150
77/77 [==============================] - 0s 674us/step - loss: 0.5335
Epoch 116/150
77/77 [==============================] - 0s 534us/step - loss: 0.5325
Epoch 117/150
77/77 [==============================] - 0s 812us/step - loss: 0.5340
Epoch 118/150
77/77 [==============================] - 0s 609us/step - loss: 0.5323
Epoch 119/150
77/77 [==============================] - 0s 811us/step - loss: 0.5311
Epoch 120/150
77/77 [==============================] - 0s 609us/step - loss: 0.5314
Epoch 121/150
77/77 [==============================] - 0s 811us/step - loss: 0.5301
Epoch 122/150
77/77 [==============================] - 0s 548us/step - loss: 0.5308
Epoch 123/150
77/77 [==============================] - 0s 609us/step - loss: 0.5299
Epoch 124/150
77/77 [==============================] - 0s 609us/step - loss: 0.5300
Epoch 125/150
77/77 [==============================] - 0s 609us/step - loss: 0.5302
Epoch 126/150
77/77 [==============================] - 0s 609us/step - loss: 0.5286
Epoch 127/150
77/77 [==============================] - 0s 812us/step - loss: 0.5292
Epoch 128/150
77/77 [==============================] - 0s 609us/step - loss: 0.5278
Epoch 129/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5283
Epoch 130/150
77/77 [==============================] - 0s 946us/step - loss: 0.5276
Epoch 131/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5273
Epoch 132/150
77/77 [==============================] - 0s 933us/step - loss: 0.5262
Epoch 133/150
77/77 [==============================] - 0s 868us/step - loss: 0.5273
Epoch 134/150
77/77 [==============================] - 0s 803us/step - loss: 0.5256
Epoch 135/150
77/77 [==============================] - 0s 920us/step - loss: 0.5249
Epoch 136/150
77/77 [==============================] - 0s 868us/step - loss: 0.5261
Epoch 137/150
77/77 [==============================] - 0s 894us/step - loss: 0.5247
Epoch 138/150
77/77 [==============================] - 0s 842us/step - loss: 0.5225
Epoch 139/150
77/77 [==============================] - 0s 790us/step - loss: 0.5249
Epoch 140/150
77/77 [==============================] - 0s 842us/step - loss: 0.5217
Epoch 141/150
77/77 [==============================] - 0s 868us/step - loss: 0.5232
Epoch 142/150
77/77 [==============================] - 0s 816us/step - loss: 0.5232
Epoch 143/150
77/77 [==============================] - 0s 829us/step - loss: 0.5214
Epoch 144/150
77/77 [==============================] - 0s 842us/step - loss: 0.5211
Epoch 145/150
77/77 [==============================] - 0s 829us/step - loss: 0.5215
Epoch 146/150
77/77 [==============================] - 0s 816us/step - loss: 0.5223
Epoch 147/150
77/77 [==============================] - 0s 790us/step - loss: 0.5187
Epoch 148/150
77/77 [==============================] - 0s 790us/step - loss: 0.5204
Epoch 149/150
77/77 [==============================] - 0s 829us/step - loss: 0.5200
Epoch 150/150
77/77 [==============================] - 0s 829us/step - loss: 0.5181
###################################################################### Accuracy: 73.31170212742795
Epoch 1/150
77/77 [==============================] - 0s 868us/step - loss: 0.9666
Epoch 2/150
77/77 [==============================] - 0s 816us/step - loss: 0.9086
Epoch 3/150
77/77 [==============================] - 0s 790us/step - loss: 0.8189
Epoch 4/150
77/77 [==============================] - 0s 829us/step - loss: 0.7437
Epoch 5/150
77/77 [==============================] - 0s 764us/step - loss: 0.6938
Epoch 6/150
77/77 [==============================] - 0s 816us/step - loss: 0.6530
Epoch 7/150
77/77 [==============================] - 0s 790us/step - loss: 0.6306
Epoch 8/150
77/77 [==============================] - 0s 738us/step - loss: 0.6171
Epoch 9/150
77/77 [==============================] - 0s 790us/step - loss: 0.6102
Epoch 10/150
77/77 [==============================] - 0s 790us/step - loss: 0.6038
Epoch 11/150
77/77 [==============================] - 0s 803us/step - loss: 0.6000
Epoch 12/150
77/77 [==============================] - 0s 790us/step - loss: 0.5958
Epoch 13/150
77/77 [==============================] - 0s 777us/step - loss: 0.5917
Epoch 14/150
77/77 [==============================] - 0s 764us/step - loss: 0.5902
Epoch 15/150
77/77 [==============================] - 0s 803us/step - loss: 0.5856
Epoch 16/150
77/77 [==============================] - 0s 751us/step - loss: 0.5836
Epoch 17/150
77/77 [==============================] - 0s 829us/step - loss: 0.5819
Epoch 18/150
77/77 [==============================] - 0s 751us/step - loss: 0.5793
Epoch 19/150
77/77 [==============================] - 0s 816us/step - loss: 0.5781
Epoch 20/150
77/77 [==============================] - 0s 777us/step - loss: 0.5756
Epoch 21/150
77/77 [==============================] - 0s 803us/step - loss: 0.5743
Epoch 22/150
77/77 [==============================] - 0s 803us/step - loss: 0.5730
Epoch 23/150
77/77 [==============================] - 0s 790us/step - loss: 0.5711
Epoch 24/150
77/77 [==============================] - 0s 751us/step - loss: 0.5696
Epoch 25/150
77/77 [==============================] - 0s 764us/step - loss: 0.5676
Epoch 26/150
77/77 [==============================] - 0s 764us/step - loss: 0.5660
Epoch 27/150
77/77 [==============================] - 0s 751us/step - loss: 0.5644
Epoch 28/150
77/77 [==============================] - 0s 777us/step - loss: 0.5650
Epoch 29/150
77/77 [==============================] - 0s 751us/step - loss: 0.5620
Epoch 30/150
77/77 [==============================] - 0s 764us/step - loss: 0.5623
Epoch 31/150
77/77 [==============================] - 0s 764us/step - loss: 0.5616
Epoch 32/150
77/77 [==============================] - 0s 777us/step - loss: 0.5599
Epoch 33/150
77/77 [==============================] - 0s 803us/step - loss: 0.5597
Epoch 34/150
77/77 [==============================] - 0s 803us/step - loss: 0.5596
Epoch 35/150
77/77 [==============================] - 0s 777us/step - loss: 0.5584
Epoch 36/150
77/77 [==============================] - 0s 764us/step - loss: 0.5578
Epoch 37/150
77/77 [==============================] - 0s 738us/step - loss: 0.5579
Epoch 38/150
77/77 [==============================] - 0s 803us/step - loss: 0.5560
Epoch 39/150
77/77 [==============================] - 0s 790us/step - loss: 0.5571
Epoch 40/150
77/77 [==============================] - 0s 764us/step - loss: 0.5552
Epoch 41/150
77/77 [==============================] - 0s 751us/step - loss: 0.5544
Epoch 42/150
77/77 [==============================] - 0s 777us/step - loss: 0.5543
Epoch 43/150
77/77 [==============================] - 0s 816us/step - loss: 0.5545
Epoch 44/150
77/77 [==============================] - 0s 803us/step - loss: 0.5529
Epoch 45/150
77/77 [==============================] - 0s 764us/step - loss: 0.5530
Epoch 46/150
77/77 [==============================] - 0s 790us/step - loss: 0.5517
Epoch 47/150
77/77 [==============================] - 0s 790us/step - loss: 0.5531
Epoch 48/150
77/77 [==============================] - 0s 790us/step - loss: 0.5522
Epoch 49/150
77/77 [==============================] - 0s 777us/step - loss: 0.5501
Epoch 50/150
77/77 [==============================] - 0s 803us/step - loss: 0.5513
Epoch 51/150
77/77 [==============================] - 0s 803us/step - loss: 0.5500
Epoch 52/150
77/77 [==============================] - 0s 777us/step - loss: 0.5485
Epoch 53/150
77/77 [==============================] - 0s 790us/step - loss: 0.5504
Epoch 54/150
77/77 [==============================] - 0s 803us/step - loss: 0.5483
Epoch 55/150
77/77 [==============================] - 0s 777us/step - loss: 0.5485
Epoch 56/150
77/77 [==============================] - 0s 829us/step - loss: 0.5482
Epoch 57/150
77/77 [==============================] - 0s 803us/step - loss: 0.5471
Epoch 58/150
77/77 [==============================] - 0s 777us/step - loss: 0.5474
Epoch 59/150
77/77 [==============================] - 0s 790us/step - loss: 0.5461
Epoch 60/150
77/77 [==============================] - 0s 803us/step - loss: 0.5435
Epoch 61/150
77/77 [==============================] - 0s 751us/step - loss: 0.5454
Epoch 62/150
77/77 [==============================] - 0s 790us/step - loss: 0.5440
Epoch 63/150
77/77 [==============================] - 0s 790us/step - loss: 0.5439
Epoch 64/150
77/77 [==============================] - 0s 816us/step - loss: 0.5444
Epoch 65/150
77/77 [==============================] - 0s 829us/step - loss: 0.5441
Epoch 66/150
77/77 [==============================] - 0s 777us/step - loss: 0.5438
Epoch 67/150
77/77 [==============================] - 0s 790us/step - loss: 0.5426
Epoch 68/150
77/77 [==============================] - 0s 790us/step - loss: 0.5429
Epoch 69/150
77/77 [==============================] - 0s 790us/step - loss: 0.5417
Epoch 70/150
77/77 [==============================] - 0s 790us/step - loss: 0.5411
Epoch 71/150
77/77 [==============================] - 0s 790us/step - loss: 0.5419
Epoch 72/150
77/77 [==============================] - 0s 764us/step - loss: 0.5426
Epoch 73/150
77/77 [==============================] - 0s 777us/step - loss: 0.5400
Epoch 74/150
77/77 [==============================] - 0s 790us/step - loss: 0.5415
Epoch 75/150
77/77 [==============================] - 0s 790us/step - loss: 0.5369
Epoch 76/150
77/77 [==============================] - 0s 816us/step - loss: 0.5396
Epoch 77/150
77/77 [==============================] - 0s 790us/step - loss: 0.5389
Epoch 78/150
77/77 [==============================] - 0s 803us/step - loss: 0.5391
Epoch 79/150
77/77 [==============================] - 0s 842us/step - loss: 0.5392
Epoch 80/150
77/77 [==============================] - 0s 803us/step - loss: 0.5389
Epoch 81/150
77/77 [==============================] - 0s 803us/step - loss: 0.5363
Epoch 82/150
77/77 [==============================] - 0s 790us/step - loss: 0.5379
Epoch 83/150
77/77 [==============================] - 0s 738us/step - loss: 0.5378
Epoch 84/150
77/77 [==============================] - 0s 816us/step - loss: 0.5368
Epoch 85/150
77/77 [==============================] - 0s 842us/step - loss: 0.5372
Epoch 86/150
77/77 [==============================] - 0s 790us/step - loss: 0.5369
Epoch 87/150
77/77 [==============================] - 0s 803us/step - loss: 0.5356
Epoch 88/150
77/77 [==============================] - 0s 816us/step - loss: 0.5359
Epoch 89/150
77/77 [==============================] - 0s 790us/step - loss: 0.5354
Epoch 90/150
77/77 [==============================] - 0s 816us/step - loss: 0.5343
Epoch 91/150
77/77 [==============================] - 0s 790us/step - loss: 0.5338
Epoch 92/150
77/77 [==============================] - 0s 790us/step - loss: 0.5344
Epoch 93/150
77/77 [==============================] - 0s 803us/step - loss: 0.5328
Epoch 94/150
77/77 [==============================] - 0s 816us/step - loss: 0.5340
Epoch 95/150
77/77 [==============================] - 0s 751us/step - loss: 0.5339
Epoch 96/150
77/77 [==============================] - 0s 803us/step - loss: 0.5330
Epoch 97/150
77/77 [==============================] - 0s 842us/step - loss: 0.5300
Epoch 98/150
77/77 [==============================] - 0s 790us/step - loss: 0.5322
Epoch 99/150
77/77 [==============================] - 0s 751us/step - loss: 0.5326
Epoch 100/150
77/77 [==============================] - 0s 803us/step - loss: 0.5314
Epoch 101/150
77/77 [==============================] - 0s 829us/step - loss: 0.5298
Epoch 102/150
77/77 [==============================] - 0s 816us/step - loss: 0.5306
Epoch 103/150
77/77 [==============================] - 0s 790us/step - loss: 0.5294
Epoch 104/150
77/77 [==============================] - 0s 777us/step - loss: 0.5304
Epoch 105/150
77/77 [==============================] - 0s 803us/step - loss: 0.5293
Epoch 106/150
77/77 [==============================] - 0s 829us/step - loss: 0.5293
Epoch 107/150
77/77 [==============================] - 0s 816us/step - loss: 0.5280
Epoch 108/150
77/77 [==============================] - 0s 777us/step - loss: 0.5260
Epoch 109/150
77/77 [==============================] - 0s 751us/step - loss: 0.5270
Epoch 110/150
77/77 [==============================] - 0s 764us/step - loss: 0.5258
Epoch 111/150
77/77 [==============================] - 0s 777us/step - loss: 0.5259
Epoch 112/150
77/77 [==============================] - 0s 777us/step - loss: 0.5245
Epoch 113/150
77/77 [==============================] - 0s 790us/step - loss: 0.5267
Epoch 114/150
77/77 [==============================] - 0s 764us/step - loss: 0.5242
Epoch 115/150
77/77 [==============================] - 0s 816us/step - loss: 0.5234
Epoch 116/150
77/77 [==============================] - 0s 764us/step - loss: 0.5230
Epoch 117/150
77/77 [==============================] - 0s 803us/step - loss: 0.5229
Epoch 118/150
77/77 [==============================] - 0s 764us/step - loss: 0.5227
Epoch 119/150
77/77 [==============================] - 0s 790us/step - loss: 0.5224
Epoch 120/150
77/77 [==============================] - 0s 816us/step - loss: 0.5236
Epoch 121/150
77/77 [==============================] - 0s 790us/step - loss: 0.5219
Epoch 122/150
77/77 [==============================] - 0s 790us/step - loss: 0.5192
Epoch 123/150
77/77 [==============================] - 0s 764us/step - loss: 0.5232
Epoch 124/150
77/77 [==============================] - 0s 790us/step - loss: 0.5213
Epoch 125/150
77/77 [==============================] - 0s 803us/step - loss: 0.5208
Epoch 126/150
77/77 [==============================] - 0s 751us/step - loss: 0.5202
Epoch 127/150
77/77 [==============================] - 0s 803us/step - loss: 0.5201
Epoch 128/150
77/77 [==============================] - 0s 777us/step - loss: 0.5166
Epoch 129/150
77/77 [==============================] - 0s 751us/step - loss: 0.5179
Epoch 130/150
77/77 [==============================] - 0s 803us/step - loss: 0.5191
Epoch 131/150
77/77 [==============================] - 0s 764us/step - loss: 0.5190
Epoch 132/150
77/77 [==============================] - 0s 751us/step - loss: 0.5183
Epoch 133/150
77/77 [==============================] - 0s 816us/step - loss: 0.5181
Epoch 134/150
77/77 [==============================] - 0s 764us/step - loss: 0.5157
Epoch 135/150
77/77 [==============================] - 0s 803us/step - loss: 0.5160
Epoch 136/150
77/77 [==============================] - 0s 816us/step - loss: 0.5171
Epoch 137/150
77/77 [==============================] - 0s 803us/step - loss: 0.5174
Epoch 138/150
77/77 [==============================] - 0s 816us/step - loss: 0.5150
Epoch 139/150
77/77 [==============================] - 0s 816us/step - loss: 0.5163
Epoch 140/150
77/77 [==============================] - 0s 777us/step - loss: 0.5140
Epoch 141/150
77/77 [==============================] - 0s 816us/step - loss: 0.5153
Epoch 142/150
77/77 [==============================] - 0s 764us/step - loss: 0.5155
Epoch 143/150
77/77 [==============================] - 0s 803us/step - loss: 0.5160
Epoch 144/150
77/77 [==============================] - 0s 777us/step - loss: 0.5132
Epoch 145/150
77/77 [==============================] - 0s 803us/step - loss: 0.5153
Epoch 146/150
77/77 [==============================] - 0s 803us/step - loss: 0.5145
Epoch 147/150
77/77 [==============================] - 0s 764us/step - loss: 0.5132
Epoch 148/150
77/77 [==============================] - 0s 777us/step - loss: 0.5134
Epoch 149/150
77/77 [==============================] - 0s 751us/step - loss: 0.5121
Epoch 150/150
77/77 [==============================] - 0s 816us/step - loss: 0.5125
###################################################################### Accuracy: 85.8775684223451
Epoch 1/150
77/77 [==============================] - 0s 846us/step - loss: 1.0156
Epoch 2/150
77/77 [==============================] - 0s 842us/step - loss: 0.9842
Epoch 3/150
77/77 [==============================] - 0s 751us/step - loss: 0.9017
Epoch 4/150
77/77 [==============================] - 0s 829us/step - loss: 0.7929
Epoch 5/150
77/77 [==============================] - 0s 829us/step - loss: 0.7135
Epoch 6/150
77/77 [==============================] - 0s 842us/step - loss: 0.6751
Epoch 7/150
77/77 [==============================] - 0s 803us/step - loss: 0.6581
Epoch 8/150
77/77 [==============================] - 0s 816us/step - loss: 0.6495
Epoch 9/150
77/77 [==============================] - 0s 764us/step - loss: 0.6445
Epoch 10/150
77/77 [==============================] - 0s 764us/step - loss: 0.6425
Epoch 11/150
77/77 [==============================] - 0s 777us/step - loss: 0.6377
Epoch 12/150
77/77 [==============================] - 0s 777us/step - loss: 0.6346
Epoch 13/150
77/77 [==============================] - 0s 829us/step - loss: 0.6321
Epoch 14/150
77/77 [==============================] - 0s 803us/step - loss: 0.6310
Epoch 15/150
77/77 [==============================] - 0s 790us/step - loss: 0.6275
Epoch 16/150
77/77 [==============================] - 0s 777us/step - loss: 0.6252
Epoch 17/150
77/77 [==============================] - 0s 803us/step - loss: 0.6228
Epoch 18/150
77/77 [==============================] - 0s 790us/step - loss: 0.6207
Epoch 19/150
77/77 [==============================] - 0s 790us/step - loss: 0.6194
Epoch 20/150
77/77 [==============================] - 0s 777us/step - loss: 0.6179
Epoch 21/150
77/77 [==============================] - 0s 738us/step - loss: 0.6156
Epoch 22/150
77/77 [==============================] - 0s 764us/step - loss: 0.6121
Epoch 23/150
77/77 [==============================] - 0s 790us/step - loss: 0.6109
Epoch 24/150
77/77 [==============================] - 0s 790us/step - loss: 0.6085
Epoch 25/150
77/77 [==============================] - 0s 816us/step - loss: 0.6090
Epoch 26/150
77/77 [==============================] - 0s 803us/step - loss: 0.6076
Epoch 27/150
77/77 [==============================] - 0s 790us/step - loss: 0.6070
Epoch 28/150
77/77 [==============================] - 0s 816us/step - loss: 0.6060
Epoch 29/150
77/77 [==============================] - 0s 777us/step - loss: 0.6027
Epoch 30/150
77/77 [==============================] - 0s 803us/step - loss: 0.6030
Epoch 31/150
77/77 [==============================] - 0s 777us/step - loss: 0.6022
Epoch 32/150
77/77 [==============================] - 0s 790us/step - loss: 0.5997
Epoch 33/150
77/77 [==============================] - 0s 777us/step - loss: 0.5998
Epoch 34/150
77/77 [==============================] - 0s 803us/step - loss: 0.5981
Epoch 35/150
77/77 [==============================] - 0s 816us/step - loss: 0.5973
Epoch 36/150
77/77 [==============================] - 0s 790us/step - loss: 0.5963
Epoch 37/150
77/77 [==============================] - 0s 803us/step - loss: 0.5951
Epoch 38/150
77/77 [==============================] - 0s 816us/step - loss: 0.5950
Epoch 39/150
77/77 [==============================] - 0s 790us/step - loss: 0.5937
Epoch 40/150
77/77 [==============================] - 0s 764us/step - loss: 0.5935
Epoch 41/150
77/77 [==============================] - 0s 751us/step - loss: 0.5925
Epoch 42/150
77/77 [==============================] - 0s 803us/step - loss: 0.5919
Epoch 43/150
77/77 [==============================] - 0s 816us/step - loss: 0.5910
Epoch 44/150
77/77 [==============================] - 0s 738us/step - loss: 0.5907
Epoch 45/150
77/77 [==============================] - 0s 738us/step - loss: 0.5877
Epoch 46/150
77/77 [==============================] - 0s 790us/step - loss: 0.5892
Epoch 47/150
77/77 [==============================] - 0s 816us/step - loss: 0.5888
Epoch 48/150
77/77 [==============================] - 0s 790us/step - loss: 0.5877
Epoch 49/150
77/77 [==============================] - 0s 790us/step - loss: 0.5866
Epoch 50/150
77/77 [==============================] - 0s 751us/step - loss: 0.5857
Epoch 51/150
77/77 [==============================] - 0s 790us/step - loss: 0.5850
Epoch 52/150
77/77 [==============================] - 0s 803us/step - loss: 0.5855
Epoch 53/150
77/77 [==============================] - 0s 777us/step - loss: 0.5841
Epoch 54/150
77/77 [==============================] - 0s 790us/step - loss: 0.5832
Epoch 55/150
77/77 [==============================] - 0s 751us/step - loss: 0.5824
Epoch 56/150
77/77 [==============================] - 0s 725us/step - loss: 0.5830
Epoch 57/150
77/77 [==============================] - 0s 790us/step - loss: 0.5820
Epoch 58/150
77/77 [==============================] - 0s 751us/step - loss: 0.5813
Epoch 59/150
77/77 [==============================] - 0s 816us/step - loss: 0.5799
Epoch 60/150
77/77 [==============================] - 0s 790us/step - loss: 0.5803
Epoch 61/150
77/77 [==============================] - 0s 764us/step - loss: 0.5786
Epoch 62/150
77/77 [==============================] - 0s 738us/step - loss: 0.5790
Epoch 63/150
77/77 [==============================] - 0s 764us/step - loss: 0.5778
Epoch 64/150
77/77 [==============================] - 0s 738us/step - loss: 0.5781
Epoch 65/150
77/77 [==============================] - 0s 803us/step - loss: 0.5776
Epoch 66/150
77/77 [==============================] - 0s 803us/step - loss: 0.5768
Epoch 67/150
77/77 [==============================] - 0s 803us/step - loss: 0.5762
Epoch 68/150
77/77 [==============================] - 0s 777us/step - loss: 0.5760
Epoch 69/150
77/77 [==============================] - 0s 764us/step - loss: 0.5753
Epoch 70/150
77/77 [==============================] - 0s 777us/step - loss: 0.5744
Epoch 71/150
77/77 [==============================] - 0s 764us/step - loss: 0.5710
Epoch 72/150
77/77 [==============================] - 0s 738us/step - loss: 0.5758
Epoch 73/150
77/77 [==============================] - 0s 803us/step - loss: 0.5738
Epoch 74/150
77/77 [==============================] - 0s 764us/step - loss: 0.5729
Epoch 75/150
77/77 [==============================] - 0s 751us/step - loss: 0.5733
Epoch 76/150
77/77 [==============================] - 0s 790us/step - loss: 0.5715
Epoch 77/150
77/77 [==============================] - 0s 751us/step - loss: 0.5713
Epoch 78/150
77/77 [==============================] - 0s 803us/step - loss: 0.5710
Epoch 79/150
77/77 [==============================] - 0s 790us/step - loss: 0.5694
Epoch 80/150
77/77 [==============================] - 0s 764us/step - loss: 0.5695
Epoch 81/150
77/77 [==============================] - 0s 725us/step - loss: 0.5690
Epoch 82/150
77/77 [==============================] - 0s 764us/step - loss: 0.5680
Epoch 83/150
77/77 [==============================] - 0s 764us/step - loss: 0.5672
Epoch 84/150
77/77 [==============================] - 0s 738us/step - loss: 0.5682
Epoch 85/150
77/77 [==============================] - 0s 777us/step - loss: 0.5670
Epoch 86/150
77/77 [==============================] - 0s 777us/step - loss: 0.5659
Epoch 87/150
77/77 [==============================] - 0s 738us/step - loss: 0.5633
Epoch 88/150
77/77 [==============================] - 0s 803us/step - loss: 0.5649
Epoch 89/150
77/77 [==============================] - 0s 764us/step - loss: 0.5653
Epoch 90/150
77/77 [==============================] - 0s 764us/step - loss: 0.5642
Epoch 91/150
77/77 [==============================] - 0s 816us/step - loss: 0.5642
Epoch 92/150
77/77 [==============================] - 0s 777us/step - loss: 0.5639
Epoch 93/150
77/77 [==============================] - 0s 764us/step - loss: 0.5623
Epoch 94/150
77/77 [==============================] - 0s 777us/step - loss: 0.5632
Epoch 95/150
77/77 [==============================] - 0s 738us/step - loss: 0.5631
Epoch 96/150
77/77 [==============================] - 0s 725us/step - loss: 0.5626
Epoch 97/150
77/77 [==============================] - 0s 777us/step - loss: 0.5596
Epoch 98/150
77/77 [==============================] - 0s 764us/step - loss: 0.5612
Epoch 99/150
77/77 [==============================] - 0s 777us/step - loss: 0.5598
Epoch 100/150
77/77 [==============================] - 0s 764us/step - loss: 0.5609
Epoch 101/150
77/77 [==============================] - 0s 751us/step - loss: 0.5609
Epoch 102/150
77/77 [==============================] - 0s 751us/step - loss: 0.5591
Epoch 103/150
77/77 [==============================] - 0s 738us/step - loss: 0.5583
Epoch 104/150
77/77 [==============================] - 0s 751us/step - loss: 0.5590
Epoch 105/150
77/77 [==============================] - 0s 777us/step - loss: 0.5596
Epoch 106/150
77/77 [==============================] - 0s 777us/step - loss: 0.5576
Epoch 107/150
77/77 [==============================] - 0s 751us/step - loss: 0.5582
Epoch 108/150
77/77 [==============================] - 0s 738us/step - loss: 0.5578
Epoch 109/150
77/77 [==============================] - 0s 790us/step - loss: 0.5580
Epoch 110/150
77/77 [==============================] - 0s 777us/step - loss: 0.5563
Epoch 111/150
77/77 [==============================] - 0s 803us/step - loss: 0.5554
Epoch 112/150
77/77 [==============================] - 0s 738us/step - loss: 0.5561
Epoch 113/150
77/77 [==============================] - 0s 699us/step - loss: 0.5552
Epoch 114/150
77/77 [==============================] - 0s 777us/step - loss: 0.5547
Epoch 115/150
77/77 [==============================] - 0s 764us/step - loss: 0.5559
Epoch 116/150
77/77 [==============================] - 0s 751us/step - loss: 0.5543
Epoch 117/150
77/77 [==============================] - 0s 790us/step - loss: 0.5544
Epoch 118/150
77/77 [==============================] - 0s 816us/step - loss: 0.5537
Epoch 119/150
77/77 [==============================] - 0s 738us/step - loss: 0.5539
Epoch 120/150
77/77 [==============================] - 0s 790us/step - loss: 0.5516
Epoch 121/150
77/77 [==============================] - 0s 777us/step - loss: 0.5542
Epoch 122/150
77/77 [==============================] - 0s 777us/step - loss: 0.5524
Epoch 123/150
77/77 [==============================] - 0s 816us/step - loss: 0.5523
Epoch 124/150
77/77 [==============================] - 0s 803us/step - loss: 0.5519
Epoch 125/150
77/77 [==============================] - 0s 790us/step - loss: 0.5517
Epoch 126/150
77/77 [==============================] - 0s 790us/step - loss: 0.5505
Epoch 127/150
77/77 [==============================] - 0s 751us/step - loss: 0.5512
Epoch 128/150
77/77 [==============================] - 0s 777us/step - loss: 0.5512
Epoch 129/150
77/77 [==============================] - 0s 777us/step - loss: 0.5515
Epoch 130/150
77/77 [==============================] - 0s 790us/step - loss: 0.5508
Epoch 131/150
77/77 [==============================] - 0s 803us/step - loss: 0.5494
Epoch 132/150
77/77 [==============================] - 0s 790us/step - loss: 0.5499
Epoch 133/150
77/77 [==============================] - 0s 803us/step - loss: 0.5488
Epoch 134/150
77/77 [==============================] - 0s 803us/step - loss: 0.5456
Epoch 135/150
77/77 [==============================] - 0s 777us/step - loss: 0.5492
Epoch 136/150
77/77 [==============================] - 0s 803us/step - loss: 0.5476
Epoch 137/150
77/77 [==============================] - 0s 816us/step - loss: 0.5462
Epoch 138/150
77/77 [==============================] - 0s 842us/step - loss: 0.5469
Epoch 139/150
77/77 [==============================] - 0s 751us/step - loss: 0.5459
Epoch 140/150
77/77 [==============================] - 0s 777us/step - loss: 0.5462
Epoch 141/150
77/77 [==============================] - 0s 803us/step - loss: 0.5456
Epoch 142/150
77/77 [==============================] - 0s 803us/step - loss: 0.5469
Epoch 143/150
77/77 [==============================] - 0s 803us/step - loss: 0.5422
Epoch 144/150
77/77 [==============================] - 0s 777us/step - loss: 0.5465
Epoch 145/150
77/77 [==============================] - 0s 816us/step - loss: 0.5447
Epoch 146/150
77/77 [==============================] - 0s 790us/step - loss: 0.5449
Epoch 147/150
77/77 [==============================] - 0s 751us/step - loss: 0.5431
Epoch 148/150
77/77 [==============================] - 0s 803us/step - loss: 0.5434
Epoch 149/150
77/77 [==============================] - 0s 738us/step - loss: 0.5429
Epoch 150/150
77/77 [==============================] - 0s 777us/step - loss: 0.5434
###################################################################### Accuracy: 75.26035752319413
Epoch 1/150
77/77 [==============================] - 0s 836us/step - loss: 0.9957
Epoch 2/150
77/77 [==============================] - 0s 779us/step - loss: 0.9523
Epoch 3/150
77/77 [==============================] - 0s 777us/step - loss: 0.8600
Epoch 4/150
77/77 [==============================] - 0s 790us/step - loss: 0.7558
Epoch 5/150
77/77 [==============================] - 0s 764us/step - loss: 0.6817
Epoch 6/150
77/77 [==============================] - 0s 803us/step - loss: 0.6509
Epoch 7/150
77/77 [==============================] - 0s 751us/step - loss: 0.6386
Epoch 8/150
77/77 [==============================] - 0s 803us/step - loss: 0.6311
Epoch 9/150
77/77 [==============================] - 0s 751us/step - loss: 0.6265
Epoch 10/150
77/77 [==============================] - 0s 816us/step - loss: 0.6217
Epoch 11/150
77/77 [==============================] - 0s 816us/step - loss: 0.6175
Epoch 12/150
77/77 [==============================] - 0s 803us/step - loss: 0.6140
Epoch 13/150
77/77 [==============================] - 0s 764us/step - loss: 0.6119
Epoch 14/150
77/77 [==============================] - 0s 803us/step - loss: 0.6086
Epoch 15/150
77/77 [==============================] - 0s 764us/step - loss: 0.6052
Epoch 16/150
77/77 [==============================] - 0s 751us/step - loss: 0.6028
Epoch 17/150
77/77 [==============================] - 0s 777us/step - loss: 0.5995
Epoch 18/150
77/77 [==============================] - 0s 790us/step - loss: 0.5982
Epoch 19/150
77/77 [==============================] - 0s 738us/step - loss: 0.5964
Epoch 20/150
77/77 [==============================] - 0s 790us/step - loss: 0.5938
Epoch 21/150
77/77 [==============================] - 0s 764us/step - loss: 0.5909
Epoch 22/150
77/77 [==============================] - 0s 751us/step - loss: 0.5892
Epoch 23/150
77/77 [==============================] - 0s 751us/step - loss: 0.5868
Epoch 24/150
77/77 [==============================] - 0s 751us/step - loss: 0.5857
Epoch 25/150
77/77 [==============================] - 0s 751us/step - loss: 0.5835
Epoch 26/150
77/77 [==============================] - 0s 764us/step - loss: 0.5829
Epoch 27/150
77/77 [==============================] - 0s 803us/step - loss: 0.5811
Epoch 28/150
77/77 [==============================] - 0s 764us/step - loss: 0.5787
Epoch 29/150
77/77 [==============================] - 0s 790us/step - loss: 0.5775
Epoch 30/150
77/77 [==============================] - 0s 790us/step - loss: 0.5769
Epoch 31/150
77/77 [==============================] - 0s 764us/step - loss: 0.5752
Epoch 32/150
77/77 [==============================] - 0s 751us/step - loss: 0.5753
Epoch 33/150
77/77 [==============================] - 0s 777us/step - loss: 0.5737
Epoch 34/150
77/77 [==============================] - 0s 751us/step - loss: 0.5711
Epoch 35/150
77/77 [==============================] - 0s 803us/step - loss: 0.5710
Epoch 36/150
77/77 [==============================] - 0s 777us/step - loss: 0.5704
Epoch 37/150
77/77 [==============================] - 0s 803us/step - loss: 0.5686
Epoch 38/150
77/77 [==============================] - 0s 803us/step - loss: 0.5689
Epoch 39/150
77/77 [==============================] - 0s 777us/step - loss: 0.5686
Epoch 40/150
77/77 [==============================] - 0s 790us/step - loss: 0.5665
Epoch 41/150
77/77 [==============================] - 0s 816us/step - loss: 0.5645
Epoch 42/150
77/77 [==============================] - 0s 751us/step - loss: 0.5652
Epoch 43/150
77/77 [==============================] - 0s 777us/step - loss: 0.5646
Epoch 44/150
77/77 [==============================] - 0s 816us/step - loss: 0.5644
Epoch 45/150
77/77 [==============================] - 0s 816us/step - loss: 0.5615
Epoch 46/150
77/77 [==============================] - 0s 790us/step - loss: 0.5629
Epoch 47/150
77/77 [==============================] - 0s 777us/step - loss: 0.5601
Epoch 48/150
77/77 [==============================] - 0s 777us/step - loss: 0.5615
Epoch 49/150
77/77 [==============================] - 0s 764us/step - loss: 0.5603
Epoch 50/150
77/77 [==============================] - 0s 790us/step - loss: 0.5589
Epoch 51/150
77/77 [==============================] - 0s 777us/step - loss: 0.5593
Epoch 52/150
77/77 [==============================] - 0s 790us/step - loss: 0.5597
Epoch 53/150
77/77 [==============================] - 0s 777us/step - loss: 0.5581
Epoch 54/150
77/77 [==============================] - 0s 790us/step - loss: 0.5574
Epoch 55/150
77/77 [==============================] - 0s 803us/step - loss: 0.5563
Epoch 56/150
77/77 [==============================] - 0s 777us/step - loss: 0.5554
Epoch 57/150
77/77 [==============================] - 0s 803us/step - loss: 0.5554
Epoch 58/150
77/77 [==============================] - 0s 764us/step - loss: 0.5534
Epoch 59/150
77/77 [==============================] - 0s 777us/step - loss: 0.5550
Epoch 60/150
77/77 [==============================] - 0s 816us/step - loss: 0.5535
Epoch 61/150
77/77 [==============================] - 0s 803us/step - loss: 0.5536
Epoch 62/150
77/77 [==============================] - 0s 816us/step - loss: 0.5522
Epoch 63/150
77/77 [==============================] - 0s 803us/step - loss: 0.5530
Epoch 64/150
77/77 [==============================] - 0s 842us/step - loss: 0.5515
Epoch 65/150
77/77 [==============================] - 0s 790us/step - loss: 0.5520
Epoch 66/150
77/77 [==============================] - 0s 803us/step - loss: 0.5504
Epoch 67/150
77/77 [==============================] - 0s 816us/step - loss: 0.5483
Epoch 68/150
77/77 [==============================] - 0s 803us/step - loss: 0.5498
Epoch 69/150
77/77 [==============================] - 0s 738us/step - loss: 0.5504
Epoch 70/150
77/77 [==============================] - 0s 920us/step - loss: 0.5488
Epoch 71/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5494
Epoch 72/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5473
Epoch 73/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5490
Epoch 74/150
77/77 [==============================] - 0s 971us/step - loss: 0.5472
Epoch 75/150
77/77 [==============================] - 0s 881us/step - loss: 0.5466
Epoch 76/150
77/77 [==============================] - 0s 958us/step - loss: 0.5446
Epoch 77/150
77/77 [==============================] - 0s 945us/step - loss: 0.5477
Epoch 78/150
77/77 [==============================] - 0s 1ms/step - loss: 0.5455
Epoch 79/150
77/77 [==============================] - 0s 803us/step - loss: 0.5443
Epoch 80/150
77/77 [==============================] - 0s 829us/step - loss: 0.5456
Epoch 81/150
77/77 [==============================] - 0s 816us/step - loss: 0.5445
Epoch 82/150
77/77 [==============================] - 0s 829us/step - loss: 0.5392
Epoch 83/150
77/77 [==============================] - 0s 842us/step - loss: 0.5445
Epoch 84/150
77/77 [==============================] - 0s 842us/step - loss: 0.5437
Epoch 85/150
77/77 [==============================] - 0s 790us/step - loss: 0.5441
Epoch 86/150
77/77 [==============================] - 0s 816us/step - loss: 0.5449
Epoch 87/150
77/77 [==============================] - 0s 790us/step - loss: 0.5427
Epoch 88/150
77/77 [==============================] - 0s 725us/step - loss: 0.5425
Epoch 89/150
77/77 [==============================] - 0s 803us/step - loss: 0.5414
Epoch 90/150
77/77 [==============================] - 0s 829us/step - loss: 0.5437
Epoch 91/150
77/77 [==============================] - 0s 803us/step - loss: 0.5425
Epoch 92/150
77/77 [==============================] - 0s 777us/step - loss: 0.5416
Epoch 93/150
77/77 [==============================] - 0s 829us/step - loss: 0.5416
Epoch 94/150
77/77 [==============================] - 0s 816us/step - loss: 0.5413
Epoch 95/150
77/77 [==============================] - 0s 816us/step - loss: 0.5417
Epoch 96/150
77/77 [==============================] - 0s 829us/step - loss: 0.5411
Epoch 97/150
77/77 [==============================] - 0s 829us/step - loss: 0.5402
Epoch 98/150
77/77 [==============================] - 0s 868us/step - loss: 0.5407
Epoch 99/150
77/77 [==============================] - 0s 842us/step - loss: 0.5386
Epoch 100/150
77/77 [==============================] - 0s 803us/step - loss: 0.5397
Epoch 101/150
77/77 [==============================] - 0s 764us/step - loss: 0.5385
Epoch 102/150
77/77 [==============================] - 0s 933us/step - loss: 0.5383
Epoch 103/150
77/77 [==============================] - 0s 855us/step - loss: 0.5383
Epoch 104/150
77/77 [==============================] - 0s 803us/step - loss: 0.5390
Epoch 105/150
77/77 [==============================] - 0s 803us/step - loss: 0.5386
Epoch 106/150
77/77 [==============================] - 0s 803us/step - loss: 0.5373
Epoch 107/150
77/77 [==============================] - 0s 777us/step - loss: 0.5383
Epoch 108/150
77/77 [==============================] - 0s 764us/step - loss: 0.5388
Epoch 109/150
77/77 [==============================] - 0s 816us/step - loss: 0.5379
Epoch 110/150
77/77 [==============================] - 0s 842us/step - loss: 0.5372
Epoch 111/150
77/77 [==============================] - 0s 816us/step - loss: 0.5366
Epoch 112/150
77/77 [==============================] - 0s 777us/step - loss: 0.5368
Epoch 113/150
77/77 [==============================] - 0s 803us/step - loss: 0.5363
Epoch 114/150
77/77 [==============================] - 0s 777us/step - loss: 0.5362
Epoch 115/150
77/77 [==============================] - 0s 764us/step - loss: 0.5353
Epoch 116/150
77/77 [==============================] - 0s 803us/step - loss: 0.5347
Epoch 117/150
77/77 [==============================] - 0s 829us/step - loss: 0.5362
Epoch 118/150
77/77 [==============================] - 0s 842us/step - loss: 0.5358
Epoch 119/150
77/77 [==============================] - 0s 829us/step - loss: 0.5360
Epoch 120/150
77/77 [==============================] - 0s 816us/step - loss: 0.5346
Epoch 121/150
77/77 [==============================] - 0s 777us/step - loss: 0.5354
Epoch 122/150
77/77 [==============================] - 0s 777us/step - loss: 0.5359
Epoch 123/150
77/77 [==============================] - 0s 777us/step - loss: 0.5327
Epoch 124/150
77/77 [==============================] - 0s 816us/step - loss: 0.5350
Epoch 125/150
77/77 [==============================] - 0s 868us/step - loss: 0.5361
Epoch 126/150
77/77 [==============================] - 0s 790us/step - loss: 0.5314
Epoch 127/150
77/77 [==============================] - 0s 842us/step - loss: 0.5346
Epoch 128/150
77/77 [==============================] - 0s 855us/step - loss: 0.5321
Epoch 129/150
77/77 [==============================] - 0s 842us/step - loss: 0.5332
Epoch 130/150
77/77 [==============================] - 0s 894us/step - loss: 0.5327
Epoch 131/150
77/77 [==============================] - 0s 881us/step - loss: 0.5326
Epoch 132/150
77/77 [==============================] - 0s 816us/step - loss: 0.5319
Epoch 133/150
77/77 [==============================] - 0s 829us/step - loss: 0.5319
Epoch 134/150
77/77 [==============================] - 0s 881us/step - loss: 0.5317
Epoch 135/150
77/77 [==============================] - 0s 907us/step - loss: 0.5317
Epoch 136/150
77/77 [==============================] - 0s 829us/step - loss: 0.5297
Epoch 137/150
77/77 [==============================] - 0s 829us/step - loss: 0.5293
Epoch 138/150
77/77 [==============================] - 0s 816us/step - loss: 0.5307
Epoch 139/150
77/77 [==============================] - 0s 816us/step - loss: 0.5290
Epoch 140/150
77/77 [==============================] - 0s 842us/step - loss: 0.5298
Epoch 141/150
77/77 [==============================] - 0s 855us/step - loss: 0.5292
Epoch 142/150
77/77 [==============================] - 0s 751us/step - loss: 0.5298
Epoch 143/150
77/77 [==============================] - 0s 842us/step - loss: 0.5290
Epoch 144/150
77/77 [==============================] - 0s 751us/step - loss: 0.5283
Epoch 145/150
77/77 [==============================] - 0s 751us/step - loss: 0.5298
Epoch 146/150
77/77 [==============================] - 0s 803us/step - loss: 0.5279
Epoch 147/150
77/77 [==============================] - 0s 829us/step - loss: 0.5287
Epoch 148/150
77/77 [==============================] - 0s 855us/step - loss: 0.5272
Epoch 149/150
77/77 [==============================] - 0s 842us/step - loss: 0.5279
Epoch 150/150
77/77 [==============================] - 0s 790us/step - loss: 0.5272
###################################################################### Accuracy: 75.67856753867451
Epoch 1/10
38/38 [==============================] - 0s 997us/step - loss: 1.0161
Epoch 2/10
38/38 [==============================] - 0s 840us/step - loss: 0.9997
Epoch 3/10
38/38 [==============================] - 0s 787us/step - loss: 0.9641
Epoch 4/10
38/38 [==============================] - 0s 787us/step - loss: 0.9073
Epoch 5/10
38/38 [==============================] - 0s 814us/step - loss: 0.8344
Epoch 6/10
38/38 [==============================] - 0s 892us/step - loss: 0.7694
Epoch 7/10
38/38 [==============================] - 0s 840us/step - loss: 0.7184
Epoch 8/10
38/38 [==============================] - 0s 892us/step - loss: 0.6859
Epoch 9/10
38/38 [==============================] - 0s 840us/step - loss: 0.6626
Epoch 10/10
38/38 [==============================] - 0s 866us/step - loss: 0.6466
###################################################################### Accuracy: 73.45802598811434
Epoch 1/10
 1/39 [..............................] - ETA: 0s - loss: 1.6470WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
39/39 [==============================] - 0s 947us/step - loss: 0.9811
Epoch 2/10
39/39 [==============================] - 0s 844us/step - loss: 0.9581
Epoch 3/10
39/39 [==============================] - 0s 793us/step - loss: 0.9077
Epoch 4/10
39/39 [==============================] - 0s 716us/step - loss: 0.8431
Epoch 5/10
39/39 [==============================] - 0s 742us/step - loss: 0.7834
Epoch 6/10
39/39 [==============================] - 0s 767us/step - loss: 0.7432
Epoch 7/10
39/39 [==============================] - 0s 793us/step - loss: 0.7067
Epoch 8/10
39/39 [==============================] - 0s 793us/step - loss: 0.6812
Epoch 9/10
39/39 [==============================] - 0s 818us/step - loss: 0.6648
Epoch 10/10
39/39 [==============================] - 0s 793us/step - loss: 0.6526
###################################################################### Accuracy: 82.9918917027214
Epoch 1/10
39/39 [==============================] - 0s 869us/step - loss: 0.9743
Epoch 2/10
39/39 [==============================] - 0s 793us/step - loss: 0.9602
Epoch 3/10
39/39 [==============================] - 0s 818us/step - loss: 0.9261
Epoch 4/10
39/39 [==============================] - 0s 869us/step - loss: 0.8689
Epoch 5/10
39/39 [==============================] - 0s 793us/step - loss: 0.7996
Epoch 6/10
39/39 [==============================] - 0s 818us/step - loss: 0.7374
Epoch 7/10
39/39 [==============================] - 0s 844us/step - loss: 0.6845
Epoch 8/10
39/39 [==============================] - 0s 844us/step - loss: 0.6530
Epoch 9/10
39/39 [==============================] - 0s 818us/step - loss: 0.6378
Epoch 10/10
39/39 [==============================] - 0s 818us/step - loss: 0.6263
###################################################################### Accuracy: 95.02103271167613
Epoch 1/10
 1/39 [..............................] - ETA: 0s - loss: 0.7967WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks.
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
39/39 [==============================] - 0s 869us/step - loss: 1.0141
Epoch 2/10
39/39 [==============================] - 0s 818us/step - loss: 0.9924
Epoch 3/10
39/39 [==============================] - 0s 793us/step - loss: 0.9473
Epoch 4/10
39/39 [==============================] - 0s 767us/step - loss: 0.8756
Epoch 5/10
39/39 [==============================] - 0s 767us/step - loss: 0.8011
Epoch 6/10
39/39 [==============================] - 0s 716us/step - loss: 0.7340
Epoch 7/10
39/39 [==============================] - 0s 767us/step - loss: 0.6885
Epoch 8/10
39/39 [==============================] - 0s 767us/step - loss: 0.6634
Epoch 9/10
39/39 [==============================] - 0s 742us/step - loss: 0.6517
Epoch 10/10
39/39 [==============================] - 0s 742us/step - loss: 0.6466
###################################################################### Accuracy: 74.49385178537372
Epoch 1/10
39/39 [==============================] - 0s 895us/step - loss: 0.9950
Epoch 2/10
39/39 [==============================] - 0s 895us/step - loss: 0.9692
Epoch 3/10
39/39 [==============================] - 0s 742us/step - loss: 0.9188
Epoch 4/10
39/39 [==============================] - 0s 767us/step - loss: 0.8466
Epoch 5/10
39/39 [==============================] - 0s 793us/step - loss: 0.7786
Epoch 6/10
39/39 [==============================] - 0s 844us/step - loss: 0.7203
Epoch 7/10
39/39 [==============================] - 0s 742us/step - loss: 0.6804
Epoch 8/10
39/39 [==============================] - 0s 742us/step - loss: 0.6610
Epoch 9/10
39/39 [==============================] - 0s 793us/step - loss: 0.6486
Epoch 10/10
39/39 [==============================] - 0s 818us/step - loss: 0.6436
###################################################################### Accuracy: 74.50219497371708
Epoch 1/20
38/38 [==============================] - 0s 813us/step - loss: 1.0135
Epoch 2/20
38/38 [==============================] - 0s 892us/step - loss: 0.9890
Epoch 3/20
38/38 [==============================] - 0s 735us/step - loss: 0.9419
Epoch 4/20
38/38 [==============================] - 0s 814us/step - loss: 0.8750
Epoch 5/20
38/38 [==============================] - 0s 814us/step - loss: 0.7974
Epoch 6/20
38/38 [==============================] - 0s 840us/step - loss: 0.7281
Epoch 7/20
38/38 [==============================] - 0s 787us/step - loss: 0.6834
Epoch 8/20
38/38 [==============================] - 0s 761us/step - loss: 0.6587
Epoch 9/20
38/38 [==============================] - 0s 735us/step - loss: 0.6462
Epoch 10/20
38/38 [==============================] - 0s 735us/step - loss: 0.6396
Epoch 11/20
38/38 [==============================] - 0s 761us/step - loss: 0.6360
Epoch 12/20
38/38 [==============================] - 0s 735us/step - loss: 0.6320
Epoch 13/20
38/38 [==============================] - 0s 787us/step - loss: 0.6288
Epoch 14/20
38/38 [==============================] - 0s 761us/step - loss: 0.6254
Epoch 15/20
38/38 [==============================] - 0s 709us/step - loss: 0.6214
Epoch 16/20
38/38 [==============================] - 0s 761us/step - loss: 0.6205
Epoch 17/20
38/38 [==============================] - 0s 761us/step - loss: 0.6179
Epoch 18/20
38/38 [==============================] - 0s 787us/step - loss: 0.6149
Epoch 19/20
38/38 [==============================] - 0s 761us/step - loss: 0.6125
Epoch 20/20
38/38 [==============================] - 0s 682us/step - loss: 0.6095
###################################################################### Accuracy: 68.69930999535615
Epoch 1/20
 1/39 [..............................] - ETA: 0s - loss: 0.9251WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks.
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
39/39 [==============================] - 0s 921us/step - loss: 0.9842
Epoch 2/20
39/39 [==============================] - 0s 844us/step - loss: 0.9666
Epoch 3/20
39/39 [==============================] - 0s 779us/step - loss: 0.9273
Epoch 4/20
39/39 [==============================] - 0s 742us/step - loss: 0.8657
Epoch 5/20
39/39 [==============================] - 0s 818us/step - loss: 0.7936
Epoch 6/20
39/39 [==============================] - 0s 716us/step - loss: 0.7274
Epoch 7/20
39/39 [==============================] - 0s 742us/step - loss: 0.6814
Epoch 8/20
39/39 [==============================] - 0s 793us/step - loss: 0.6584
Epoch 9/20
39/39 [==============================] - 0s 742us/step - loss: 0.6508
Epoch 10/20
39/39 [==============================] - 0s 742us/step - loss: 0.6453
Epoch 11/20
39/39 [==============================] - 0s 742us/step - loss: 0.6418
Epoch 12/20
39/39 [==============================] - 0s 767us/step - loss: 0.6393
Epoch 13/20
39/39 [==============================] - 0s 793us/step - loss: 0.6372
Epoch 14/20
39/39 [==============================] - 0s 767us/step - loss: 0.6349
Epoch 15/20
39/39 [==============================] - 0s 818us/step - loss: 0.6324
Epoch 16/20
39/39 [==============================] - 0s 818us/step - loss: 0.6298
Epoch 17/20
39/39 [==============================] - 0s 844us/step - loss: 0.6281
Epoch 18/20
39/39 [==============================] - 0s 767us/step - loss: 0.6251
Epoch 19/20
39/39 [==============================] - ETA: 0s - loss: 0.981 - 0s 742us/step - loss: 0.6230
Epoch 20/20
39/39 [==============================] - 0s 793us/step - loss: 0.6219
###################################################################### Accuracy: 75.22682022312858
Epoch 1/20
39/39 [==============================] - 0s 869us/step - loss: 0.9745
Epoch 2/20
39/39 [==============================] - 0s 818us/step - loss: 0.9588
Epoch 3/20
39/39 [==============================] - 0s 844us/step - loss: 0.9201
Epoch 4/20
39/39 [==============================] - 0s 793us/step - loss: 0.8588
Epoch 5/20
39/39 [==============================] - 0s 844us/step - loss: 0.7797
Epoch 6/20
39/39 [==============================] - 0s 844us/step - loss: 0.7086
Epoch 7/20
39/39 [==============================] - 0s 793us/step - loss: 0.6633
Epoch 8/20
39/39 [==============================] - 0s 818us/step - loss: 0.6404
Epoch 9/20
39/39 [==============================] - 0s 869us/step - loss: 0.6298
Epoch 10/20
39/39 [==============================] - 0s 793us/step - loss: 0.6256
Epoch 11/20
39/39 [==============================] - 0s 818us/step - loss: 0.6209
Epoch 12/20
39/39 [==============================] - 0s 716us/step - loss: 0.6185
Epoch 13/20
39/39 [==============================] - 0s 793us/step - loss: 0.6153
Epoch 14/20
39/39 [==============================] - 0s 793us/step - loss: 0.6134
Epoch 15/20
39/39 [==============================] - 0s 818us/step - loss: 0.6106
Epoch 16/20
39/39 [==============================] - 0s 818us/step - loss: 0.6081
Epoch 17/20
39/39 [==============================] - 0s 767us/step - loss: 0.6050
Epoch 18/20
39/39 [==============================] - 0s 844us/step - loss: 0.6043
Epoch 19/20
39/39 [==============================] - 0s 818us/step - loss: 0.6009
Epoch 20/20
39/39 [==============================] - 0s 793us/step - loss: 0.5987
###################################################################### Accuracy: 89.74449910058843
Epoch 1/20
39/39 [==============================] - 0s 869us/step - loss: 1.0164
Epoch 2/20
39/39 [==============================] - 0s 793us/step - loss: 1.0014
Epoch 3/20
39/39 [==============================] - 0s 818us/step - loss: 0.9666
Epoch 4/20
39/39 [==============================] - 0s 742us/step - loss: 0.9131
Epoch 5/20
39/39 [==============================] - 0s 767us/step - loss: 0.8433
Epoch 6/20
39/39 [==============================] - 0s 793us/step - loss: 0.7681
Epoch 7/20
39/39 [==============================] - 0s 716us/step - loss: 0.7069
Epoch 8/20
39/39 [==============================] - 0s 793us/step - loss: 0.6699
Epoch 9/20
39/39 [==============================] - 0s 793us/step - loss: 0.6524
Epoch 10/20
39/39 [==============================] - 0s 767us/step - loss: 0.6447
Epoch 11/20
39/39 [==============================] - 0s 818us/step - loss: 0.6396
Epoch 12/20
39/39 [==============================] - 0s 767us/step - loss: 0.6353
Epoch 13/20
39/39 [==============================] - 0s 844us/step - loss: 0.6335
Epoch 14/20
39/39 [==============================] - 0s 819us/step - loss: 0.6320
Epoch 15/20
39/39 [==============================] - 0s 844us/step - loss: 0.6293
Epoch 16/20
39/39 [==============================] - 0s 793us/step - loss: 0.6276
Epoch 17/20
39/39 [==============================] - 0s 716us/step - loss: 0.6247
Epoch 18/20
39/39 [==============================] - 0s 793us/step - loss: 0.6240
Epoch 19/20
39/39 [==============================] - 0s 844us/step - loss: 0.6217
Epoch 20/20
39/39 [==============================] - 0s 844us/step - loss: 0.6204
###################################################################### Accuracy: 71.47680244182371
Epoch 1/20
39/39 [==============================] - 0s 869us/step - loss: 1.0011
Epoch 2/20
39/39 [==============================] - 0s 793us/step - loss: 0.9905
Epoch 3/20
39/39 [==============================] - 0s 793us/step - loss: 0.9675
Epoch 4/20
39/39 [==============================] - 0s 767us/step - loss: 0.9209
Epoch 5/20
39/39 [==============================] - 0s 818us/step - loss: 0.8605
Epoch 6/20
39/39 [==============================] - 0s 895us/step - loss: 0.8067
Epoch 7/20
39/39 [==============================] - 0s 793us/step - loss: 0.7650
Epoch 8/20
39/39 [==============================] - 0s 793us/step - loss: 0.7314
Epoch 9/20
39/39 [==============================] - 0s 818us/step - loss: 0.6996
Epoch 10/20
39/39 [==============================] - 0s 1ms/step - loss: 0.6766
Epoch 11/20
39/39 [==============================] - 0s 895us/step - loss: 0.6586
Epoch 12/20
39/39 [==============================] - 0s 767us/step - loss: 0.6466
Epoch 13/20
39/39 [==============================] - 0s 844us/step - loss: 0.6378
Epoch 14/20
39/39 [==============================] - 0s 818us/step - loss: 0.6308
Epoch 15/20
39/39 [==============================] - 0s 742us/step - loss: 0.6261
Epoch 16/20
39/39 [==============================] - 0s 1ms/step - loss: 0.6222
Epoch 17/20
39/39 [==============================] - 0s 767us/step - loss: 0.6184
Epoch 18/20
39/39 [==============================] - 0s 818us/step - loss: 0.6155
Epoch 19/20
39/39 [==============================] - 0s 793us/step - loss: 0.6121
Epoch 20/20
39/39 [==============================] - 0s 818us/step - loss: 0.6096
###################################################################### Accuracy: 75.37980566188617
Epoch 1/50
38/38 [==============================] - 0s 814us/step - loss: 1.0166
Epoch 2/50
38/38 [==============================] - 0s 814us/step - loss: 1.0019
Epoch 3/50
38/38 [==============================] - 0s 840us/step - loss: 0.9626
Epoch 4/50
38/38 [==============================] - 0s 787us/step - loss: 0.8977
Epoch 5/50
38/38 [==============================] - 0s 761us/step - loss: 0.8149
Epoch 6/50
38/38 [==============================] - 0s 787us/step - loss: 0.7348
Epoch 7/50
38/38 [==============================] - 0s 814us/step - loss: 0.6756
Epoch 8/50
38/38 [==============================] - 0s 787us/step - loss: 0.6484
Epoch 9/50
38/38 [==============================] - 0s 787us/step - loss: 0.6359
Epoch 10/50
38/38 [==============================] - 0s 787us/step - loss: 0.6293
Epoch 11/50
38/38 [==============================] - 0s 761us/step - loss: 0.6259
Epoch 12/50
38/38 [==============================] - 0s 761us/step - loss: 0.6219
Epoch 13/50
38/38 [==============================] - 0s 787us/step - loss: 0.6174
Epoch 14/50
38/38 [==============================] - 0s 787us/step - loss: 0.6143
Epoch 15/50
38/38 [==============================] - 0s 735us/step - loss: 0.6108
Epoch 16/50
38/38 [==============================] - 0s 735us/step - loss: 0.6077
Epoch 17/50
38/38 [==============================] - 0s 682us/step - loss: 0.6045
Epoch 18/50
38/38 [==============================] - 0s 735us/step - loss: 0.6028
Epoch 19/50
38/38 [==============================] - 0s 761us/step - loss: 0.5997
Epoch 20/50
38/38 [==============================] - 0s 787us/step - loss: 0.5978
Epoch 21/50
38/38 [==============================] - 0s 761us/step - loss: 0.5954
Epoch 22/50
38/38 [==============================] - 0s 735us/step - loss: 0.5937
Epoch 23/50
38/38 [==============================] - 0s 761us/step - loss: 0.5920
Epoch 24/50
38/38 [==============================] - 0s 761us/step - loss: 0.5906
Epoch 25/50
38/38 [==============================] - 0s 787us/step - loss: 0.5887
Epoch 26/50
38/38 [==============================] - 0s 735us/step - loss: 0.5881
Epoch 27/50
38/38 [==============================] - 0s 761us/step - loss: 0.5866
Epoch 28/50
38/38 [==============================] - 0s 787us/step - loss: 0.5853
Epoch 29/50
38/38 [==============================] - 0s 761us/step - loss: 0.5851
Epoch 30/50
38/38 [==============================] - 0s 761us/step - loss: 0.5829
Epoch 31/50
38/38 [==============================] - 0s 735us/step - loss: 0.5820
Epoch 32/50
38/38 [==============================] - 0s 787us/step - loss: 0.5811
Epoch 33/50
38/38 [==============================] - 0s 761us/step - loss: 0.5804
Epoch 34/50
38/38 [==============================] - 0s 787us/step - loss: 0.5792
Epoch 35/50
38/38 [==============================] - 0s 761us/step - loss: 0.5790
Epoch 36/50
38/38 [==============================] - 0s 761us/step - loss: 0.5779
Epoch 37/50
38/38 [==============================] - 0s 761us/step - loss: 0.5764
Epoch 38/50
38/38 [==============================] - 0s 761us/step - loss: 0.5761
Epoch 39/50
38/38 [==============================] - 0s 682us/step - loss: 0.5750
Epoch 40/50
38/38 [==============================] - 0s 787us/step - loss: 0.5749
Epoch 41/50
38/38 [==============================] - 0s 761us/step - loss: 0.5722
Epoch 42/50
38/38 [==============================] - 0s 787us/step - loss: 0.5735
Epoch 43/50
38/38 [==============================] - 0s 787us/step - loss: 0.5720
Epoch 44/50
38/38 [==============================] - 0s 787us/step - loss: 0.5716
Epoch 45/50
38/38 [==============================] - 0s 735us/step - loss: 0.5715
Epoch 46/50
38/38 [==============================] - 0s 761us/step - loss: 0.5707
Epoch 47/50
38/38 [==============================] - 0s 787us/step - loss: 0.5687
Epoch 48/50
38/38 [==============================] - 0s 735us/step - loss: 0.5698
Epoch 49/50
38/38 [==============================] - 0s 735us/step - loss: 0.5688
Epoch 50/50
38/38 [==============================] - 0s 735us/step - loss: 0.5676
###################################################################### Accuracy: 71.18718893391156
Epoch 1/50
39/39 [==============================] - 0s 921us/step - loss: 0.9840
Epoch 2/50
39/39 [==============================] - 0s 869us/step - loss: 0.9639
Epoch 3/50
39/39 [==============================] - 0s 818us/step - loss: 0.9192
Epoch 4/50
39/39 [==============================] - 0s 742us/step - loss: 0.8494
Epoch 5/50
39/39 [==============================] - 0s 793us/step - loss: 0.7823
Epoch 6/50
39/39 [==============================] - 0s 793us/step - loss: 0.7214
Epoch 7/50
39/39 [==============================] - 0s 818us/step - loss: 0.6854
Epoch 8/50
39/39 [==============================] - 0s 716us/step - loss: 0.6647
Epoch 9/50
39/39 [==============================] - 0s 742us/step - loss: 0.6532
Epoch 10/50
39/39 [==============================] - 0s 793us/step - loss: 0.6459
Epoch 11/50
39/39 [==============================] - 0s 716us/step - loss: 0.6412
Epoch 12/50
39/39 [==============================] - 0s 793us/step - loss: 0.6379
Epoch 13/50
39/39 [==============================] - 0s 818us/step - loss: 0.6358
Epoch 14/50
39/39 [==============================] - 0s 793us/step - loss: 0.6336
Epoch 15/50
39/39 [==============================] - 0s 793us/step - loss: 0.6314
Epoch 16/50
39/39 [==============================] - 0s 767us/step - loss: 0.6292
Epoch 17/50
39/39 [==============================] - 0s 869us/step - loss: 0.6276
Epoch 18/50
39/39 [==============================] - 0s 793us/step - loss: 0.6243
Epoch 19/50
39/39 [==============================] - 0s 793us/step - loss: 0.6198
Epoch 20/50
39/39 [==============================] - 0s 793us/step - loss: 0.6182
Epoch 21/50
39/39 [==============================] - 0s 767us/step - loss: 0.6164
Epoch 22/50
39/39 [==============================] - 0s 793us/step - loss: 0.6148
Epoch 23/50
39/39 [==============================] - 0s 793us/step - loss: 0.6115
Epoch 24/50
39/39 [==============================] - 0s 767us/step - loss: 0.6100
Epoch 25/50
39/39 [==============================] - 0s 742us/step - loss: 0.6077
Epoch 26/50
39/39 [==============================] - 0s 793us/step - loss: 0.6063
Epoch 27/50
39/39 [==============================] - 0s 716us/step - loss: 0.6044
Epoch 28/50
39/39 [==============================] - 0s 742us/step - loss: 0.6024
Epoch 29/50
39/39 [==============================] - 0s 742us/step - loss: 0.6006
Epoch 30/50
39/39 [==============================] - 0s 793us/step - loss: 0.5998
Epoch 31/50
39/39 [==============================] - 0s 767us/step - loss: 0.5990
Epoch 32/50
39/39 [==============================] - 0s 742us/step - loss: 0.5969
Epoch 33/50
39/39 [==============================] - 0s 793us/step - loss: 0.5937
Epoch 34/50
39/39 [==============================] - 0s 716us/step - loss: 0.5949
Epoch 35/50
39/39 [==============================] - 0s 742us/step - loss: 0.5924
Epoch 36/50
39/39 [==============================] - 0s 844us/step - loss: 0.5915
Epoch 37/50
39/39 [==============================] - 0s 818us/step - loss: 0.5909
Epoch 38/50
39/39 [==============================] - 0s 818us/step - loss: 0.5888
Epoch 39/50
39/39 [==============================] - 0s 793us/step - loss: 0.5866
Epoch 40/50
39/39 [==============================] - 0s 793us/step - loss: 0.5857
Epoch 41/50
39/39 [==============================] - 0s 818us/step - loss: 0.5841
Epoch 42/50
39/39 [==============================] - 0s 767us/step - loss: 0.5844
Epoch 43/50
39/39 [==============================] - 0s 742us/step - loss: 0.5838
Epoch 44/50
39/39 [==============================] - 0s 844us/step - loss: 0.5813
Epoch 45/50
39/39 [==============================] - 0s 793us/step - loss: 0.5813
Epoch 46/50
39/39 [==============================] - 0s 818us/step - loss: 0.5798
Epoch 47/50
39/39 [==============================] - 0s 793us/step - loss: 0.5785
Epoch 48/50
39/39 [==============================] - 0s 742us/step - loss: 0.5784
Epoch 49/50
39/39 [==============================] - 0s 793us/step - loss: 0.5776
Epoch 50/50
39/39 [==============================] - 0s 818us/step - loss: 0.5774
###################################################################### Accuracy: 74.81715192810582
Epoch 1/50
39/39 [==============================] - 0s 870us/step - loss: 0.9732
Epoch 2/50
39/39 [==============================] - 0s 818us/step - loss: 0.9540
Epoch 3/50
39/39 [==============================] - 0s 818us/step - loss: 0.9180
Epoch 4/50
39/39 [==============================] - 0s 793us/step - loss: 0.8620
Epoch 5/50
39/39 [==============================] - 0s 844us/step - loss: 0.7936
Epoch 6/50
39/39 [==============================] - 0s 767us/step - loss: 0.7345
Epoch 7/50
39/39 [==============================] - 0s 869us/step - loss: 0.6901
Epoch 8/50
39/39 [==============================] - 0s 793us/step - loss: 0.6601
Epoch 9/50
39/39 [==============================] - 0s 793us/step - loss: 0.6396
Epoch 10/50
39/39 [==============================] - 0s 818us/step - loss: 0.6278
Epoch 11/50
39/39 [==============================] - 0s 742us/step - loss: 0.6210
Epoch 12/50
39/39 [==============================] - 0s 793us/step - loss: 0.6152
Epoch 13/50
39/39 [==============================] - 0s 818us/step - loss: 0.6105
Epoch 14/50
39/39 [==============================] - 0s 793us/step - loss: 0.6063
Epoch 15/50
39/39 [==============================] - 0s 767us/step - loss: 0.6036
Epoch 16/50
39/39 [==============================] - 0s 742us/step - loss: 0.5999
Epoch 17/50
39/39 [==============================] - 0s 767us/step - loss: 0.5977
Epoch 18/50
39/39 [==============================] - 0s 793us/step - loss: 0.5938
Epoch 19/50
39/39 [==============================] - 0s 818us/step - loss: 0.5922
Epoch 20/50
39/39 [==============================] - 0s 716us/step - loss: 0.5908
Epoch 21/50
39/39 [==============================] - 0s 818us/step - loss: 0.5875
Epoch 22/50
39/39 [==============================] - 0s 818us/step - loss: 0.5846
Epoch 23/50
39/39 [==============================] - 0s 818us/step - loss: 0.5834
Epoch 24/50
39/39 [==============================] - 0s 793us/step - loss: 0.5809
Epoch 25/50
39/39 [==============================] - 0s 742us/step - loss: 0.5806
Epoch 26/50
39/39 [==============================] - 0s 767us/step - loss: 0.5785
Epoch 27/50
39/39 [==============================] - 0s 793us/step - loss: 0.5761
Epoch 28/50
39/39 [==============================] - 0s 793us/step - loss: 0.5753
Epoch 29/50
39/39 [==============================] - 0s 793us/step - loss: 0.5746
Epoch 30/50
39/39 [==============================] - 0s 767us/step - loss: 0.5730
Epoch 31/50
39/39 [==============================] - 0s 844us/step - loss: 0.5720
Epoch 32/50
39/39 [==============================] - 0s 844us/step - loss: 0.5696
Epoch 33/50
39/39 [==============================] - 0s 793us/step - loss: 0.5707
Epoch 34/50
39/39 [==============================] - 0s 793us/step - loss: 0.5691
Epoch 35/50
39/39 [==============================] - 0s 767us/step - loss: 0.5677
Epoch 36/50
39/39 [==============================] - 0s 869us/step - loss: 0.5667
Epoch 37/50
39/39 [==============================] - 0s 818us/step - loss: 0.5662
Epoch 38/50
39/39 [==============================] - 0s 844us/step - loss: 0.5645
Epoch 39/50
39/39 [==============================] - 0s 818us/step - loss: 0.5640
Epoch 40/50
39/39 [==============================] - 0s 844us/step - loss: 0.5633
Epoch 41/50
39/39 [==============================] - 0s 767us/step - loss: 0.5617
Epoch 42/50
39/39 [==============================] - 0s 767us/step - loss: 0.5604
Epoch 43/50
39/39 [==============================] - 0s 716us/step - loss: 0.5603
Epoch 44/50
39/39 [==============================] - 0s 793us/step - loss: 0.5589
Epoch 45/50
39/39 [==============================] - 0s 793us/step - loss: 0.5584
Epoch 46/50
39/39 [==============================] - 0s 767us/step - loss: 0.5575
Epoch 47/50
39/39 [==============================] - 0s 767us/step - loss: 0.5571
Epoch 48/50
39/39 [==============================] - 0s 818us/step - loss: 0.5567
Epoch 49/50
39/39 [==============================] - 0s 819us/step - loss: 0.5561
Epoch 50/50
39/39 [==============================] - 0s 818us/step - loss: 0.5547
###################################################################### Accuracy: 89.96989503387547
Epoch 1/50
39/39 [==============================] - 0s 869us/step - loss: 1.0136
Epoch 2/50
39/39 [==============================] - 0s 818us/step - loss: 0.9915
Epoch 3/50
39/39 [==============================] - 0s 869us/step - loss: 0.9433
Epoch 4/50
39/39 [==============================] - 0s 793us/step - loss: 0.8681
Epoch 5/50
39/39 [==============================] - 0s 742us/step - loss: 0.7906
Epoch 6/50
39/39 [==============================] - 0s 793us/step - loss: 0.7286
Epoch 7/50
39/39 [==============================] - 0s 793us/step - loss: 0.6821
Epoch 8/50
39/39 [==============================] - 0s 793us/step - loss: 0.6569
Epoch 9/50
39/39 [==============================] - 0s 742us/step - loss: 0.6466
Epoch 10/50
39/39 [==============================] - 0s 767us/step - loss: 0.6432
Epoch 11/50
39/39 [==============================] - 0s 844us/step - loss: 0.6413
Epoch 12/50
39/39 [==============================] - 0s 767us/step - loss: 0.6372
Epoch 13/50
39/39 [==============================] - 0s 793us/step - loss: 0.6367
Epoch 14/50
39/39 [==============================] - 0s 844us/step - loss: 0.6349
Epoch 15/50
39/39 [==============================] - 0s 793us/step - loss: 0.6336
Epoch 16/50
39/39 [==============================] - 0s 844us/step - loss: 0.6301
Epoch 17/50
39/39 [==============================] - 0s 870us/step - loss: 0.6288
Epoch 18/50
39/39 [==============================] - 0s 869us/step - loss: 0.6283
Epoch 19/50
39/39 [==============================] - 0s 844us/step - loss: 0.6259
Epoch 20/50
39/39 [==============================] - 0s 818us/step - loss: 0.6246
Epoch 21/50
39/39 [==============================] - 0s 818us/step - loss: 0.6229
Epoch 22/50
39/39 [==============================] - 0s 793us/step - loss: 0.6207
Epoch 23/50
39/39 [==============================] - 0s 793us/step - loss: 0.6202
Epoch 24/50
39/39 [==============================] - 0s 793us/step - loss: 0.6175
Epoch 25/50
39/39 [==============================] - 0s 844us/step - loss: 0.6174
Epoch 26/50
39/39 [==============================] - 0s 716us/step - loss: 0.6151
Epoch 27/50
39/39 [==============================] - 0s 767us/step - loss: 0.6135
Epoch 28/50
39/39 [==============================] - 0s 767us/step - loss: 0.6122
Epoch 29/50
39/39 [==============================] - 0s 767us/step - loss: 0.6106
Epoch 30/50
39/39 [==============================] - 0s 895us/step - loss: 0.6095
Epoch 31/50
39/39 [==============================] - 0s 818us/step - loss: 0.6089
Epoch 32/50
39/39 [==============================] - 0s 767us/step - loss: 0.6075
Epoch 33/50
39/39 [==============================] - 0s 818us/step - loss: 0.6058
Epoch 34/50
39/39 [==============================] - 0s 818us/step - loss: 0.6046
Epoch 35/50
39/39 [==============================] - 0s 818us/step - loss: 0.6040
Epoch 36/50
39/39 [==============================] - 0s 895us/step - loss: 0.6031
Epoch 37/50
39/39 [==============================] - 0s 818us/step - loss: 0.6019
Epoch 38/50
39/39 [==============================] - 0s 818us/step - loss: 0.6016
Epoch 39/50
39/39 [==============================] - 0s 818us/step - loss: 0.5994
Epoch 40/50
39/39 [==============================] - 0s 767us/step - loss: 0.5993
Epoch 41/50
39/39 [==============================] - 0s 793us/step - loss: 0.5987
Epoch 42/50
39/39 [==============================] - 0s 793us/step - loss: 0.5961
Epoch 43/50
39/39 [==============================] - 0s 844us/step - loss: 0.5964
Epoch 44/50
39/39 [==============================] - 0s 793us/step - loss: 0.5962
Epoch 45/50
39/39 [==============================] - 0s 895us/step - loss: 0.5948
Epoch 46/50
39/39 [==============================] - 0s 972us/step - loss: 0.5951
Epoch 47/50
39/39 [==============================] - 0s 895us/step - loss: 0.5939
Epoch 48/50
39/39 [==============================] - 0s 793us/step - loss: 0.5925
Epoch 49/50
39/39 [==============================] - 0s 844us/step - loss: 0.5918
Epoch 50/50
39/39 [==============================] - 0s 767us/step - loss: 0.5907
###################################################################### Accuracy: 75.92880676854153
Epoch 1/50
 1/39 [..............................] - ETA: 0s - loss: 0.7783WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
39/39 [==============================] - 0s 921us/step - loss: 0.9953
Epoch 2/50
39/39 [==============================] - 0s 869us/step - loss: 0.9684
Epoch 3/50
39/39 [==============================] - 0s 767us/step - loss: 0.9156
Epoch 4/50
39/39 [==============================] - 0s 818us/step - loss: 0.8450
Epoch 5/50
39/39 [==============================] - 0s 818us/step - loss: 0.7666
Epoch 6/50
39/39 [==============================] - 0s 793us/step - loss: 0.7017
Epoch 7/50
39/39 [==============================] - 0s 767us/step - loss: 0.6607
Epoch 8/50
39/39 [==============================] - 0s 818us/step - loss: 0.6430
Epoch 9/50
39/39 [==============================] - 0s 742us/step - loss: 0.6343
Epoch 10/50
39/39 [==============================] - 0s 767us/step - loss: 0.6297
Epoch 11/50
39/39 [==============================] - 0s 793us/step - loss: 0.6268
Epoch 12/50
39/39 [==============================] - 0s 767us/step - loss: 0.6233
Epoch 13/50
39/39 [==============================] - 0s 742us/step - loss: 0.6207
Epoch 14/50
39/39 [==============================] - 0s 767us/step - loss: 0.6175
Epoch 15/50
39/39 [==============================] - 0s 793us/step - loss: 0.6143
Epoch 16/50
39/39 [==============================] - 0s 793us/step - loss: 0.6123
Epoch 17/50
39/39 [==============================] - 0s 742us/step - loss: 0.6096
Epoch 18/50
39/39 [==============================] - 0s 818us/step - loss: 0.6076
Epoch 19/50
39/39 [==============================] - 0s 793us/step - loss: 0.6052
Epoch 20/50
39/39 [==============================] - 0s 818us/step - loss: 0.6036
Epoch 21/50
39/39 [==============================] - 0s 742us/step - loss: 0.6020
Epoch 22/50
39/39 [==============================] - 0s 793us/step - loss: 0.5996
Epoch 23/50
39/39 [==============================] - 0s 818us/step - loss: 0.5979
Epoch 24/50
39/39 [==============================] - 0s 793us/step - loss: 0.5966
Epoch 25/50
39/39 [==============================] - 0s 818us/step - loss: 0.5952
Epoch 26/50
39/39 [==============================] - 0s 818us/step - loss: 0.5930
Epoch 27/50
39/39 [==============================] - 0s 818us/step - loss: 0.5914
Epoch 28/50
39/39 [==============================] - 0s 793us/step - loss: 0.5901
Epoch 29/50
39/39 [==============================] - 0s 818us/step - loss: 0.5873
Epoch 30/50
39/39 [==============================] - 0s 793us/step - loss: 0.5882
Epoch 31/50
39/39 [==============================] - 0s 818us/step - loss: 0.5865
Epoch 32/50
39/39 [==============================] - 0s 844us/step - loss: 0.5840
Epoch 33/50
39/39 [==============================] - 0s 793us/step - loss: 0.5838
Epoch 34/50
39/39 [==============================] - 0s 793us/step - loss: 0.5821
Epoch 35/50
39/39 [==============================] - 0s 767us/step - loss: 0.5809
Epoch 36/50
39/39 [==============================] - 0s 793us/step - loss: 0.5796
Epoch 37/50
39/39 [==============================] - 0s 818us/step - loss: 0.5795
Epoch 38/50
39/39 [==============================] - 0s 793us/step - loss: 0.5778
Epoch 39/50
39/39 [==============================] - 0s 818us/step - loss: 0.5768
Epoch 40/50
39/39 [==============================] - 0s 793us/step - loss: 0.5762
Epoch 41/50
39/39 [==============================] - 0s 818us/step - loss: 0.5760
Epoch 42/50
39/39 [==============================] - 0s 895us/step - loss: 0.5739
Epoch 43/50
39/39 [==============================] - 0s 793us/step - loss: 0.5750
Epoch 44/50
39/39 [==============================] - 0s 793us/step - loss: 0.5725
Epoch 45/50
39/39 [==============================] - 0s 767us/step - loss: 0.5737
Epoch 46/50
39/39 [==============================] - 0s 818us/step - loss: 0.5726
Epoch 47/50
39/39 [==============================] - 0s 793us/step - loss: 0.5722
Epoch 48/50
39/39 [==============================] - 0s 818us/step - loss: 0.5710
Epoch 49/50
39/39 [==============================] - 0s 793us/step - loss: 0.5704
Epoch 50/50
39/39 [==============================] - 0s 793us/step - loss: 0.5707
###################################################################### Accuracy: 71.29462021334723
Epoch 1/100
38/38 [==============================] - 0s 840us/step - loss: 1.0161
Epoch 2/100
38/38 [==============================] - 0s 787us/step - loss: 0.9935
Epoch 3/100
38/38 [==============================] - 0s 814us/step - loss: 0.9413
Epoch 4/100
38/38 [==============================] - 0s 735us/step - loss: 0.8662
Epoch 5/100
38/38 [==============================] - 0s 709us/step - loss: 0.7860
Epoch 6/100
38/38 [==============================] - 0s 735us/step - loss: 0.7254
Epoch 7/100
38/38 [==============================] - 0s 814us/step - loss: 0.6890
Epoch 8/100
38/38 [==============================] - 0s 761us/step - loss: 0.6650
Epoch 9/100
38/38 [==============================] - 0s 761us/step - loss: 0.6505
Epoch 10/100
38/38 [==============================] - 0s 709us/step - loss: 0.6428
Epoch 11/100
38/38 [==============================] - 0s 761us/step - loss: 0.6386
Epoch 12/100
38/38 [==============================] - 0s 735us/step - loss: 0.6350
Epoch 13/100
38/38 [==============================] - 0s 761us/step - loss: 0.6327
Epoch 14/100
38/38 [==============================] - 0s 787us/step - loss: 0.6298
Epoch 15/100
38/38 [==============================] - 0s 787us/step - loss: 0.6278
Epoch 16/100
38/38 [==============================] - 0s 787us/step - loss: 0.6238
Epoch 17/100
38/38 [==============================] - 0s 709us/step - loss: 0.6234
Epoch 18/100
38/38 [==============================] - 0s 709us/step - loss: 0.6218
Epoch 19/100
38/38 [==============================] - 0s 709us/step - loss: 0.6203
Epoch 20/100
38/38 [==============================] - 0s 735us/step - loss: 0.6181
Epoch 21/100
38/38 [==============================] - 0s 735us/step - loss: 0.6165
Epoch 22/100
38/38 [==============================] - 0s 761us/step - loss: 0.6136
Epoch 23/100
38/38 [==============================] - 0s 761us/step - loss: 0.6121
Epoch 24/100
38/38 [==============================] - 0s 761us/step - loss: 0.6096
Epoch 25/100
38/38 [==============================] - 0s 761us/step - loss: 0.6078
Epoch 26/100
38/38 [==============================] - 0s 761us/step - loss: 0.6051
Epoch 27/100
38/38 [==============================] - 0s 709us/step - loss: 0.6041
Epoch 28/100
38/38 [==============================] - 0s 708us/step - loss: 0.6025
Epoch 29/100
38/38 [==============================] - 0s 709us/step - loss: 0.5998
Epoch 30/100
38/38 [==============================] - 0s 761us/step - loss: 0.5980
Epoch 31/100
38/38 [==============================] - 0s 735us/step - loss: 0.5958
Epoch 32/100
38/38 [==============================] - 0s 761us/step - loss: 0.5949
Epoch 33/100
38/38 [==============================] - 0s 814us/step - loss: 0.5929
Epoch 34/100
38/38 [==============================] - 0s 840us/step - loss: 0.5908
Epoch 35/100
38/38 [==============================] - 0s 709us/step - loss: 0.5893
Epoch 36/100
38/38 [==============================] - 0s 761us/step - loss: 0.5874
Epoch 37/100
38/38 [==============================] - 0s 761us/step - loss: 0.5857
Epoch 38/100
38/38 [==============================] - 0s 787us/step - loss: 0.5845
Epoch 39/100
38/38 [==============================] - 0s 656us/step - loss: 0.5821
Epoch 40/100
38/38 [==============================] - 0s 761us/step - loss: 0.5814
Epoch 41/100
38/38 [==============================] - 0s 787us/step - loss: 0.5797
Epoch 42/100
38/38 [==============================] - 0s 787us/step - loss: 0.5782
Epoch 43/100
38/38 [==============================] - 0s 761us/step - loss: 0.5765
Epoch 44/100
38/38 [==============================] - 0s 787us/step - loss: 0.5758
Epoch 45/100
38/38 [==============================] - 0s 787us/step - loss: 0.5755
Epoch 46/100
38/38 [==============================] - 0s 787us/step - loss: 0.5733
Epoch 47/100
38/38 [==============================] - 0s 787us/step - loss: 0.5721
Epoch 48/100
38/38 [==============================] - 0s 814us/step - loss: 0.5709
Epoch 49/100
38/38 [==============================] - 0s 761us/step - loss: 0.5697
Epoch 50/100
38/38 [==============================] - 0s 735us/step - loss: 0.5683
Epoch 51/100
38/38 [==============================] - 0s 709us/step - loss: 0.5663
Epoch 52/100
38/38 [==============================] - 0s 735us/step - loss: 0.5664
Epoch 53/100
38/38 [==============================] - 0s 761us/step - loss: 0.5645
Epoch 54/100
38/38 [==============================] - 0s 787us/step - loss: 0.5633
Epoch 55/100
38/38 [==============================] - 0s 761us/step - loss: 0.5629
Epoch 56/100
38/38 [==============================] - 0s 735us/step - loss: 0.5614
Epoch 57/100
38/38 [==============================] - 0s 761us/step - loss: 0.5607
Epoch 58/100
38/38 [==============================] - 0s 735us/step - loss: 0.5593
Epoch 59/100
38/38 [==============================] - 0s 787us/step - loss: 0.5588
Epoch 60/100
38/38 [==============================] - 0s 682us/step - loss: 0.5574
Epoch 61/100
38/38 [==============================] - 0s 761us/step - loss: 0.5581
Epoch 62/100
38/38 [==============================] - 0s 761us/step - loss: 0.5565
Epoch 63/100
38/38 [==============================] - 0s 761us/step - loss: 0.5563
Epoch 64/100
38/38 [==============================] - 0s 814us/step - loss: 0.5564
Epoch 65/100
38/38 [==============================] - 0s 709us/step - loss: 0.5544
Epoch 66/100
38/38 [==============================] - 0s 735us/step - loss: 0.5544
Epoch 67/100
38/38 [==============================] - 0s 761us/step - loss: 0.5539
Epoch 68/100
38/38 [==============================] - 0s 709us/step - loss: 0.5538
Epoch 69/100
38/38 [==============================] - 0s 761us/step - loss: 0.5535
Epoch 70/100
38/38 [==============================] - 0s 761us/step - loss: 0.5521
Epoch 71/100
38/38 [==============================] - 0s 787us/step - loss: 0.5517
Epoch 72/100
38/38 [==============================] - 0s 761us/step - loss: 0.5512
Epoch 73/100
38/38 [==============================] - 0s 761us/step - loss: 0.5508
Epoch 74/100
38/38 [==============================] - 0s 761us/step - loss: 0.5508
Epoch 75/100
38/38 [==============================] - 0s 787us/step - loss: 0.5496
Epoch 76/100
38/38 [==============================] - 0s 761us/step - loss: 0.5493
Epoch 77/100
38/38 [==============================] - 0s 787us/step - loss: 0.5486
Epoch 78/100
38/38 [==============================] - 0s 814us/step - loss: 0.5481
Epoch 79/100
38/38 [==============================] - 0s 787us/step - loss: 0.5479
Epoch 80/100
38/38 [==============================] - 0s 761us/step - loss: 0.5466
Epoch 81/100
38/38 [==============================] - 0s 761us/step - loss: 0.5453
Epoch 82/100
38/38 [==============================] - 0s 761us/step - loss: 0.5464
Epoch 83/100
38/38 [==============================] - 0s 761us/step - loss: 0.5465
Epoch 84/100
38/38 [==============================] - 0s 682us/step - loss: 0.5457
Epoch 85/100
38/38 [==============================] - 0s 761us/step - loss: 0.5446
Epoch 86/100
38/38 [==============================] - 0s 735us/step - loss: 0.5446
Epoch 87/100
38/38 [==============================] - 0s 735us/step - loss: 0.5435
Epoch 88/100
38/38 [==============================] - 0s 761us/step - loss: 0.5444
Epoch 89/100
38/38 [==============================] - 0s 761us/step - loss: 0.5424
Epoch 90/100
38/38 [==============================] - 0s 682us/step - loss: 0.5430
Epoch 91/100
38/38 [==============================] - 0s 735us/step - loss: 0.5421
Epoch 92/100
38/38 [==============================] - 0s 761us/step - loss: 0.5414
Epoch 93/100
38/38 [==============================] - 0s 761us/step - loss: 0.5411
Epoch 94/100
38/38 [==============================] - 0s 735us/step - loss: 0.5410
Epoch 95/100
38/38 [==============================] - 0s 682us/step - loss: 0.5405
Epoch 96/100
38/38 [==============================] - 0s 814us/step - loss: 0.5398
Epoch 97/100
38/38 [==============================] - 0s 787us/step - loss: 0.5394
Epoch 98/100
38/38 [==============================] - 0s 761us/step - loss: 0.5390
Epoch 99/100
38/38 [==============================] - 0s 761us/step - loss: 0.5376
Epoch 100/100
38/38 [==============================] - 0s 787us/step - loss: 0.5387
###################################################################### Accuracy: 71.69157308778108
Epoch 1/100
 1/39 [..............................] - ETA: 0s - loss: 1.5541WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks.
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
39/39 [==============================] - 0s 946us/step - loss: 0.9842
Epoch 2/100
39/39 [==============================] - 0s 818us/step - loss: 0.9671
Epoch 3/100
39/39 [==============================] - 0s 818us/step - loss: 0.9231
Epoch 4/100
39/39 [==============================] - 0s 793us/step - loss: 0.8582
Epoch 5/100
39/39 [==============================] - 0s 793us/step - loss: 0.7940
Epoch 6/100
39/39 [==============================] - 0s 793us/step - loss: 0.7489
Epoch 7/100
39/39 [==============================] - 0s 767us/step - loss: 0.7109
Epoch 8/100
39/39 [==============================] - 0s 742us/step - loss: 0.6852
Epoch 9/100
39/39 [==============================] - 0s 767us/step - loss: 0.6664
Epoch 10/100
39/39 [==============================] - 0s 767us/step - loss: 0.6516
Epoch 11/100
39/39 [==============================] - 0s 767us/step - loss: 0.6425
Epoch 12/100
39/39 [==============================] - 0s 793us/step - loss: 0.6366
Epoch 13/100
39/39 [==============================] - 0s 716us/step - loss: 0.6326
Epoch 14/100
39/39 [==============================] - 0s 742us/step - loss: 0.6294
Epoch 15/100
39/39 [==============================] - 0s 793us/step - loss: 0.6261
Epoch 16/100
39/39 [==============================] - 0s 742us/step - loss: 0.6234
Epoch 17/100
39/39 [==============================] - 0s 767us/step - loss: 0.6193
Epoch 18/100
39/39 [==============================] - 0s 742us/step - loss: 0.6176
Epoch 19/100
39/39 [==============================] - 0s 793us/step - loss: 0.6144
Epoch 20/100
39/39 [==============================] - 0s 742us/step - loss: 0.6119
Epoch 21/100
39/39 [==============================] - 0s 793us/step - loss: 0.6079
Epoch 22/100
39/39 [==============================] - 0s 716us/step - loss: 0.6076
Epoch 23/100
39/39 [==============================] - 0s 767us/step - loss: 0.6046
Epoch 24/100
39/39 [==============================] - 0s 767us/step - loss: 0.6026
Epoch 25/100
39/39 [==============================] - 0s 716us/step - loss: 0.5999
Epoch 26/100
39/39 [==============================] - 0s 767us/step - loss: 0.5977
Epoch 27/100
39/39 [==============================] - 0s 793us/step - loss: 0.5953
Epoch 28/100
39/39 [==============================] - 0s 742us/step - loss: 0.5940
Epoch 29/100
39/39 [==============================] - 0s 793us/step - loss: 0.5907
Epoch 30/100
39/39 [==============================] - 0s 793us/step - loss: 0.5911
Epoch 31/100
39/39 [==============================] - 0s 767us/step - loss: 0.5893
Epoch 32/100
39/39 [==============================] - 0s 767us/step - loss: 0.5888
Epoch 33/100
39/39 [==============================] - 0s 844us/step - loss: 0.5868
Epoch 34/100
39/39 [==============================] - 0s 793us/step - loss: 0.5864
Epoch 35/100
39/39 [==============================] - 0s 844us/step - loss: 0.5837
Epoch 36/100
39/39 [==============================] - 0s 767us/step - loss: 0.5837
Epoch 37/100
39/39 [==============================] - 0s 767us/step - loss: 0.5831
Epoch 38/100
39/39 [==============================] - 0s 767us/step - loss: 0.5825
Epoch 39/100
39/39 [==============================] - 0s 793us/step - loss: 0.5799
Epoch 40/100
39/39 [==============================] - 0s 767us/step - loss: 0.5805
Epoch 41/100
39/39 [==============================] - 0s 793us/step - loss: 0.5801
Epoch 42/100
39/39 [==============================] - 0s 742us/step - loss: 0.5786
Epoch 43/100
39/39 [==============================] - 0s 793us/step - loss: 0.5782
Epoch 44/100
39/39 [==============================] - 0s 742us/step - loss: 0.5775
Epoch 45/100
39/39 [==============================] - 0s 767us/step - loss: 0.5767
Epoch 46/100
39/39 [==============================] - 0s 767us/step - loss: 0.5759
Epoch 47/100
39/39 [==============================] - 0s 767us/step - loss: 0.5754
Epoch 48/100
39/39 [==============================] - 0s 767us/step - loss: 0.5749
Epoch 49/100
39/39 [==============================] - 0s 818us/step - loss: 0.5732
Epoch 50/100
39/39 [==============================] - 0s 793us/step - loss: 0.5713
Epoch 51/100
39/39 [==============================] - 0s 742us/step - loss: 0.5734
Epoch 52/100
39/39 [==============================] - 0s 818us/step - loss: 0.5713
Epoch 53/100
39/39 [==============================] - 0s 793us/step - loss: 0.5705
Epoch 54/100
39/39 [==============================] - 0s 716us/step - loss: 0.5698
Epoch 55/100
39/39 [==============================] - 0s 793us/step - loss: 0.5688
Epoch 56/100
39/39 [==============================] - 0s 767us/step - loss: 0.5691
Epoch 57/100
39/39 [==============================] - 0s 716us/step - loss: 0.5679
Epoch 58/100
39/39 [==============================] - 0s 767us/step - loss: 0.5675
Epoch 59/100
39/39 [==============================] - 0s 793us/step - loss: 0.5660
Epoch 60/100
39/39 [==============================] - 0s 793us/step - loss: 0.5676
Epoch 61/100
39/39 [==============================] - 0s 767us/step - loss: 0.5662
Epoch 62/100
39/39 [==============================] - 0s 818us/step - loss: 0.5664
Epoch 63/100
39/39 [==============================] - 0s 818us/step - loss: 0.5644
Epoch 64/100
39/39 [==============================] - 0s 793us/step - loss: 0.5657
Epoch 65/100
39/39 [==============================] - 0s 793us/step - loss: 0.5651
Epoch 66/100
39/39 [==============================] - 0s 818us/step - loss: 0.5635
Epoch 67/100
39/39 [==============================] - 0s 793us/step - loss: 0.5642
Epoch 68/100
39/39 [==============================] - 0s 818us/step - loss: 0.5638
Epoch 69/100
39/39 [==============================] - 0s 818us/step - loss: 0.5625
Epoch 70/100
39/39 [==============================] - 0s 793us/step - loss: 0.5615
Epoch 71/100
39/39 [==============================] - 0s 818us/step - loss: 0.5628
Epoch 72/100
39/39 [==============================] - 0s 767us/step - loss: 0.5618
Epoch 73/100
39/39 [==============================] - 0s 818us/step - loss: 0.5617
Epoch 74/100
39/39 [==============================] - 0s 818us/step - loss: 0.5603
Epoch 75/100
39/39 [==============================] - 0s 767us/step - loss: 0.5616
Epoch 76/100
39/39 [==============================] - 0s 742us/step - loss: 0.5606
Epoch 77/100
39/39 [==============================] - 0s 793us/step - loss: 0.5604
Epoch 78/100
39/39 [==============================] - 0s 818us/step - loss: 0.5597
Epoch 79/100
39/39 [==============================] - 0s 818us/step - loss: 0.5590
Epoch 80/100
39/39 [==============================] - 0s 844us/step - loss: 0.5600
Epoch 81/100
39/39 [==============================] - 0s 767us/step - loss: 0.5586
Epoch 82/100
39/39 [==============================] - 0s 869us/step - loss: 0.5594
Epoch 83/100
39/39 [==============================] - 0s 844us/step - loss: 0.5581
Epoch 84/100
39/39 [==============================] - 0s 818us/step - loss: 0.5582
Epoch 85/100
39/39 [==============================] - 0s 844us/step - loss: 0.5573
Epoch 86/100
39/39 [==============================] - 0s 742us/step - loss: 0.5569
Epoch 87/100
39/39 [==============================] - 0s 793us/step - loss: 0.5577
Epoch 88/100
39/39 [==============================] - 0s 793us/step - loss: 0.5567
Epoch 89/100
39/39 [==============================] - 0s 818us/step - loss: 0.5558
Epoch 90/100
39/39 [==============================] - 0s 818us/step - loss: 0.5571
Epoch 91/100
39/39 [==============================] - 0s 921us/step - loss: 0.5561
Epoch 92/100
39/39 [==============================] - 0s 895us/step - loss: 0.5557
Epoch 93/100
39/39 [==============================] - 0s 946us/step - loss: 0.5554
Epoch 94/100
39/39 [==============================] - 0s 895us/step - loss: 0.5548
Epoch 95/100
39/39 [==============================] - 0s 869us/step - loss: 0.5547
Epoch 96/100
39/39 [==============================] - 0s 844us/step - loss: 0.5556
Epoch 97/100
39/39 [==============================] - 0s 921us/step - loss: 0.5548
Epoch 98/100
39/39 [==============================] - 0s 972us/step - loss: 0.5544
Epoch 99/100
39/39 [==============================] - 0s 921us/step - loss: 0.5544
Epoch 100/100
39/39 [==============================] - 0s 946us/step - loss: 0.5546
###################################################################### Accuracy: 74.1009373390998
Epoch 1/100
 1/39 [..............................] - ETA: 0s - loss: 0.9083WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
39/39 [==============================] - 0s 921us/step - loss: 0.9721
Epoch 2/100
39/39 [==============================] - 0s 921us/step - loss: 0.9523
Epoch 3/100
39/39 [==============================] - 0s 869us/step - loss: 0.9069
Epoch 4/100
39/39 [==============================] - 0s 793us/step - loss: 0.8527
Epoch 5/100
39/39 [==============================] - 0s 844us/step - loss: 0.7895
Epoch 6/100
39/39 [==============================] - 0s 793us/step - loss: 0.7329
Epoch 7/100
39/39 [==============================] - 0s 767us/step - loss: 0.6905
Epoch 8/100
39/39 [==============================] - 0s 818us/step - loss: 0.6611
Epoch 9/100
39/39 [==============================] - 0s 818us/step - loss: 0.6421
Epoch 10/100
39/39 [==============================] - 0s 793us/step - loss: 0.6320
Epoch 11/100
39/39 [==============================] - 0s 818us/step - loss: 0.6261
Epoch 12/100
39/39 [==============================] - 0s 818us/step - loss: 0.6216
Epoch 13/100
39/39 [==============================] - 0s 818us/step - loss: 0.6180
Epoch 14/100
39/39 [==============================] - 0s 767us/step - loss: 0.6151
Epoch 15/100
39/39 [==============================] - 0s 818us/step - loss: 0.6132
Epoch 16/100
39/39 [==============================] - 0s 818us/step - loss: 0.6100
Epoch 17/100
39/39 [==============================] - 0s 793us/step - loss: 0.6077
Epoch 18/100
39/39 [==============================] - 0s 818us/step - loss: 0.6066
Epoch 19/100
39/39 [==============================] - 0s 844us/step - loss: 0.6044
Epoch 20/100
39/39 [==============================] - 0s 818us/step - loss: 0.6026
Epoch 21/100
39/39 [==============================] - 0s 767us/step - loss: 0.6003
Epoch 22/100
39/39 [==============================] - 0s 844us/step - loss: 0.5988
Epoch 23/100
39/39 [==============================] - 0s 767us/step - loss: 0.5965
Epoch 24/100
39/39 [==============================] - 0s 742us/step - loss: 0.5940
Epoch 25/100
39/39 [==============================] - 0s 793us/step - loss: 0.5926
Epoch 26/100
39/39 [==============================] - 0s 767us/step - loss: 0.5918
Epoch 27/100
39/39 [==============================] - 0s 793us/step - loss: 0.5894
Epoch 28/100
39/39 [==============================] - 0s 793us/step - loss: 0.5871
Epoch 29/100
39/39 [==============================] - 0s 716us/step - loss: 0.5862
Epoch 30/100
39/39 [==============================] - 0s 818us/step - loss: 0.5837
Epoch 31/100
39/39 [==============================] - 0s 767us/step - loss: 0.5827
Epoch 32/100
39/39 [==============================] - 0s 742us/step - loss: 0.5808
Epoch 33/100
39/39 [==============================] - 0s 767us/step - loss: 0.5795
Epoch 34/100
39/39 [==============================] - 0s 716us/step - loss: 0.5775
Epoch 35/100
39/39 [==============================] - 0s 716us/step - loss: 0.5768
Epoch 36/100
39/39 [==============================] - 0s 767us/step - loss: 0.5759
Epoch 37/100
39/39 [==============================] - 0s 767us/step - loss: 0.5727
Epoch 38/100
39/39 [==============================] - 0s 742us/step - loss: 0.5720
Epoch 39/100
39/39 [==============================] - 0s 767us/step - loss: 0.5710
Epoch 40/100
39/39 [==============================] - 0s 793us/step - loss: 0.5694
Epoch 41/100
39/39 [==============================] - 0s 690us/step - loss: 0.5685
Epoch 42/100
39/39 [==============================] - 0s 818us/step - loss: 0.5675
Epoch 43/100
39/39 [==============================] - 0s 844us/step - loss: 0.5663
Epoch 44/100
39/39 [==============================] - 0s 818us/step - loss: 0.5651
Epoch 45/100
39/39 [==============================] - 0s 767us/step - loss: 0.5634
Epoch 46/100
39/39 [==============================] - 0s 716us/step - loss: 0.5625
Epoch 47/100
39/39 [==============================] - 0s 793us/step - loss: 0.5624
Epoch 48/100
39/39 [==============================] - 0s 767us/step - loss: 0.5620
Epoch 49/100
39/39 [==============================] - 0s 818us/step - loss: 0.5602
Epoch 50/100
39/39 [==============================] - 0s 793us/step - loss: 0.5599
Epoch 51/100
39/39 [==============================] - 0s 767us/step - loss: 0.5597
Epoch 52/100
39/39 [==============================] - 0s 767us/step - loss: 0.5582
Epoch 53/100
39/39 [==============================] - 0s 793us/step - loss: 0.5583
Epoch 54/100
39/39 [==============================] - 0s 793us/step - loss: 0.5570
Epoch 55/100
39/39 [==============================] - 0s 793us/step - loss: 0.5564
Epoch 56/100
39/39 [==============================] - 0s 793us/step - loss: 0.5566
Epoch 57/100
39/39 [==============================] - 0s 767us/step - loss: 0.5553
Epoch 58/100
39/39 [==============================] - 0s 793us/step - loss: 0.5561
Epoch 59/100
39/39 [==============================] - 0s 767us/step - loss: 0.5554
Epoch 60/100
39/39 [==============================] - 0s 742us/step - loss: 0.5551
Epoch 61/100
39/39 [==============================] - 0s 818us/step - loss: 0.5552
Epoch 62/100
39/39 [==============================] - 0s 818us/step - loss: 0.5543
Epoch 63/100
39/39 [==============================] - 0s 844us/step - loss: 0.5535
Epoch 64/100
39/39 [==============================] - 0s 819us/step - loss: 0.5532
Epoch 65/100
39/39 [==============================] - 0s 818us/step - loss: 0.5526
Epoch 66/100
39/39 [==============================] - 0s 767us/step - loss: 0.5508
Epoch 67/100
39/39 [==============================] - 0s 767us/step - loss: 0.5506
Epoch 68/100
39/39 [==============================] - 0s 793us/step - loss: 0.5500
Epoch 69/100
39/39 [==============================] - 0s 844us/step - loss: 0.5513
Epoch 70/100
39/39 [==============================] - 0s 793us/step - loss: 0.5507
Epoch 71/100
39/39 [==============================] - 0s 742us/step - loss: 0.5500
Epoch 72/100
39/39 [==============================] - ETA: 0s - loss: 0.224 - 0s 818us/step - loss: 0.5494
Epoch 73/100
39/39 [==============================] - 0s 793us/step - loss: 0.5491
Epoch 74/100
39/39 [==============================] - 0s 767us/step - loss: 0.5489
Epoch 75/100
39/39 [==============================] - 0s 818us/step - loss: 0.5483
Epoch 76/100
39/39 [==============================] - 0s 793us/step - loss: 0.5482
Epoch 77/100
39/39 [==============================] - 0s 767us/step - loss: 0.5479
Epoch 78/100
39/39 [==============================] - 0s 869us/step - loss: 0.5472
Epoch 79/100
39/39 [==============================] - 0s 793us/step - loss: 0.5459
Epoch 80/100
39/39 [==============================] - 0s 818us/step - loss: 0.5464
Epoch 81/100
39/39 [==============================] - 0s 818us/step - loss: 0.5454
Epoch 82/100
39/39 [==============================] - 0s 818us/step - loss: 0.5473
Epoch 83/100
39/39 [==============================] - 0s 793us/step - loss: 0.5461
Epoch 84/100
39/39 [==============================] - 0s 818us/step - loss: 0.5453
Epoch 85/100
39/39 [==============================] - 0s 742us/step - loss: 0.5453
Epoch 86/100
39/39 [==============================] - 0s 767us/step - loss: 0.5440
Epoch 87/100
39/39 [==============================] - 0s 767us/step - loss: 0.5459
Epoch 88/100
39/39 [==============================] - 0s 767us/step - loss: 0.5455
Epoch 89/100
39/39 [==============================] - 0s 818us/step - loss: 0.5455
Epoch 90/100
39/39 [==============================] - 0s 742us/step - loss: 0.5444
Epoch 91/100
39/39 [==============================] - 0s 767us/step - loss: 0.5438
Epoch 92/100
39/39 [==============================] - 0s 767us/step - loss: 0.5443
Epoch 93/100
39/39 [==============================] - 0s 793us/step - loss: 0.5434
Epoch 94/100
39/39 [==============================] - 0s 767us/step - loss: 0.5443
Epoch 95/100
39/39 [==============================] - 0s 819us/step - loss: 0.5424
Epoch 96/100
39/39 [==============================] - 0s 793us/step - loss: 0.5438
Epoch 97/100
39/39 [==============================] - 0s 793us/step - loss: 0.5431
Epoch 98/100
39/39 [==============================] - 0s 818us/step - loss: 0.5428
Epoch 99/100
39/39 [==============================] - 0s 793us/step - loss: 0.5411
Epoch 100/100
39/39 [==============================] - 0s 742us/step - loss: 0.5424
###################################################################### Accuracy: 88.34632599474114
Epoch 1/100
39/39 [==============================] - 0s 895us/step - loss: 1.0139
Epoch 2/100
39/39 [==============================] - 0s 895us/step - loss: 0.9909
Epoch 3/100
39/39 [==============================] - 0s 869us/step - loss: 0.9452
Epoch 4/100
39/39 [==============================] - 0s 767us/step - loss: 0.8817
Epoch 5/100
39/39 [==============================] - 0s 767us/step - loss: 0.8144
Epoch 6/100
39/39 [==============================] - 0s 793us/step - loss: 0.7542
Epoch 7/100
39/39 [==============================] - 0s 818us/step - loss: 0.7064
Epoch 8/100
39/39 [==============================] - 0s 742us/step - loss: 0.6761
Epoch 9/100
39/39 [==============================] - 0s 793us/step - loss: 0.6598
Epoch 10/100
39/39 [==============================] - 0s 767us/step - loss: 0.6514
Epoch 11/100
39/39 [==============================] - 0s 793us/step - loss: 0.6462
Epoch 12/100
39/39 [==============================] - 0s 793us/step - loss: 0.6428
Epoch 13/100
39/39 [==============================] - 0s 793us/step - loss: 0.6401
Epoch 14/100
39/39 [==============================] - 0s 793us/step - loss: 0.6374
Epoch 15/100
39/39 [==============================] - 0s 742us/step - loss: 0.6357
Epoch 16/100
39/39 [==============================] - 0s 767us/step - loss: 0.6334
Epoch 17/100
39/39 [==============================] - 0s 818us/step - loss: 0.6316
Epoch 18/100
39/39 [==============================] - 0s 767us/step - loss: 0.6289
Epoch 19/100
39/39 [==============================] - 0s 767us/step - loss: 0.6280
Epoch 20/100
39/39 [==============================] - 0s 818us/step - loss: 0.6254
Epoch 21/100
39/39 [==============================] - 0s 767us/step - loss: 0.6244
Epoch 22/100
39/39 [==============================] - 0s 767us/step - loss: 0.6218
Epoch 23/100
39/39 [==============================] - 0s 793us/step - loss: 0.6207
Epoch 24/100
39/39 [==============================] - 0s 818us/step - loss: 0.6188
Epoch 25/100
39/39 [==============================] - 0s 767us/step - loss: 0.6192
Epoch 26/100
39/39 [==============================] - 0s 742us/step - loss: 0.6163
Epoch 27/100
39/39 [==============================] - 0s 793us/step - loss: 0.6159
Epoch 28/100
39/39 [==============================] - 0s 690us/step - loss: 0.6146
Epoch 29/100
39/39 [==============================] - 0s 793us/step - loss: 0.6136
Epoch 30/100
39/39 [==============================] - 0s 793us/step - loss: 0.6116
Epoch 31/100
39/39 [==============================] - 0s 793us/step - loss: 0.6127
Epoch 32/100
39/39 [==============================] - 0s 767us/step - loss: 0.6105
Epoch 33/100
39/39 [==============================] - 0s 793us/step - loss: 0.6099
Epoch 34/100
39/39 [==============================] - 0s 793us/step - loss: 0.6078
Epoch 35/100
39/39 [==============================] - 0s 767us/step - loss: 0.6081
Epoch 36/100
39/39 [==============================] - 0s 767us/step - loss: 0.6064
Epoch 37/100
39/39 [==============================] - 0s 793us/step - loss: 0.6063
Epoch 38/100
39/39 [==============================] - 0s 767us/step - loss: 0.6046
Epoch 39/100
39/39 [==============================] - 0s 767us/step - loss: 0.6054
Epoch 40/100
39/39 [==============================] - 0s 742us/step - loss: 0.6039
Epoch 41/100
39/39 [==============================] - 0s 742us/step - loss: 0.6029
Epoch 42/100
39/39 [==============================] - 0s 767us/step - loss: 0.6035
Epoch 43/100
39/39 [==============================] - 0s 1ms/step - loss: 0.6010
Epoch 44/100
39/39 [==============================] - 0s 972us/step - loss: 0.6018
Epoch 45/100
39/39 [==============================] - 0s 972us/step - loss: 0.6007
Epoch 46/100
39/39 [==============================] - 0s 767us/step - loss: 0.6000
Epoch 47/100
39/39 [==============================] - 0s 767us/step - loss: 0.6008
Epoch 48/100
39/39 [==============================] - 0s 1ms/step - loss: 0.5980
Epoch 49/100
39/39 [==============================] - 0s 793us/step - loss: 0.5991
Epoch 50/100
39/39 [==============================] - 0s 793us/step - loss: 0.5982
Epoch 51/100
39/39 [==============================] - 0s 793us/step - loss: 0.5980
Epoch 52/100
39/39 [==============================] - 0s 767us/step - loss: 0.5969
Epoch 53/100
39/39 [==============================] - 0s 818us/step - loss: 0.5963
Epoch 54/100
39/39 [==============================] - 0s 793us/step - loss: 0.5957
Epoch 55/100
39/39 [==============================] - 0s 793us/step - loss: 0.5961
Epoch 56/100
39/39 [==============================] - 0s 767us/step - loss: 0.5948
Epoch 57/100
39/39 [==============================] - 0s 793us/step - loss: 0.5947
Epoch 58/100
39/39 [==============================] - 0s 742us/step - loss: 0.5934
Epoch 59/100
39/39 [==============================] - 0s 818us/step - loss: 0.5945
Epoch 60/100
39/39 [==============================] - 0s 767us/step - loss: 0.5922
Epoch 61/100
39/39 [==============================] - 0s 818us/step - loss: 0.5930
Epoch 62/100
39/39 [==============================] - 0s 793us/step - loss: 0.5930
Epoch 63/100
39/39 [==============================] - 0s 793us/step - loss: 0.5908
Epoch 64/100
39/39 [==============================] - 0s 793us/step - loss: 0.5907
Epoch 65/100
39/39 [==============================] - 0s 793us/step - loss: 0.5903
Epoch 66/100
39/39 [==============================] - 0s 818us/step - loss: 0.5901
Epoch 67/100
39/39 [==============================] - 0s 793us/step - loss: 0.5900
Epoch 68/100
39/39 [==============================] - 0s 742us/step - loss: 0.5888
Epoch 69/100
39/39 [==============================] - 0s 793us/step - loss: 0.5890
Epoch 70/100
39/39 [==============================] - 0s 793us/step - loss: 0.5884
Epoch 71/100
39/39 [==============================] - 0s 767us/step - loss: 0.5867
Epoch 72/100
39/39 [==============================] - 0s 793us/step - loss: 0.5877
Epoch 73/100
39/39 [==============================] - 0s 793us/step - loss: 0.5873
Epoch 74/100
39/39 [==============================] - 0s 793us/step - loss: 0.5864
Epoch 75/100
39/39 [==============================] - 0s 742us/step - loss: 0.5856
Epoch 76/100
39/39 [==============================] - 0s 767us/step - loss: 0.5848
Epoch 77/100
39/39 [==============================] - 0s 818us/step - loss: 0.5844
Epoch 78/100
39/39 [==============================] - 0s 793us/step - loss: 0.5836
Epoch 79/100
39/39 [==============================] - 0s 767us/step - loss: 0.5840
Epoch 80/100
39/39 [==============================] - 0s 793us/step - loss: 0.5837
Epoch 81/100
39/39 [==============================] - 0s 767us/step - loss: 0.5831
Epoch 82/100
39/39 [==============================] - 0s 818us/step - loss: 0.5810
Epoch 83/100
39/39 [==============================] - 0s 793us/step - loss: 0.5816
Epoch 84/100
39/39 [==============================] - 0s 742us/step - loss: 0.5810
Epoch 85/100
39/39 [==============================] - 0s 793us/step - loss: 0.5807
Epoch 86/100
39/39 [==============================] - 0s 793us/step - loss: 0.5796
Epoch 87/100
39/39 [==============================] - 0s 793us/step - loss: 0.5798
Epoch 88/100
39/39 [==============================] - 0s 793us/step - loss: 0.5795
Epoch 89/100
39/39 [==============================] - 0s 767us/step - loss: 0.5786
Epoch 90/100
39/39 [==============================] - 0s 793us/step - loss: 0.5783
Epoch 91/100
39/39 [==============================] - 0s 818us/step - loss: 0.5777
Epoch 92/100
39/39 [==============================] - 0s 742us/step - loss: 0.5768
Epoch 93/100
39/39 [==============================] - 0s 793us/step - loss: 0.5765
Epoch 94/100
39/39 [==============================] - 0s 793us/step - loss: 0.5761
Epoch 95/100
39/39 [==============================] - 0s 793us/step - loss: 0.5758
Epoch 96/100
39/39 [==============================] - 0s 793us/step - loss: 0.5745
Epoch 97/100
39/39 [==============================] - 0s 793us/step - loss: 0.5752
Epoch 98/100
39/39 [==============================] - 0s 767us/step - loss: 0.5749
Epoch 99/100
39/39 [==============================] - 0s 767us/step - loss: 0.5736
Epoch 100/100
39/39 [==============================] - 0s 716us/step - loss: 0.5733
###################################################################### Accuracy: 73.65440067114386
Epoch 1/100
39/39 [==============================] - 0s 844us/step - loss: 1.0008
Epoch 2/100
39/39 [==============================] - 0s 844us/step - loss: 0.9897
Epoch 3/100
39/39 [==============================] - 0s 879us/step - loss: 0.9604
Epoch 4/100
39/39 [==============================] - 0s 742us/step - loss: 0.9127
Epoch 5/100
39/39 [==============================] - 0s 742us/step - loss: 0.8548
Epoch 6/100
39/39 [==============================] - 0s 767us/step - loss: 0.7885
Epoch 7/100
39/39 [==============================] - 0s 767us/step - loss: 0.7300
Epoch 8/100
39/39 [==============================] - 0s 767us/step - loss: 0.6858
Epoch 9/100
39/39 [==============================] - 0s 716us/step - loss: 0.6590
Epoch 10/100
39/39 [==============================] - 0s 767us/step - loss: 0.6442
Epoch 11/100
39/39 [==============================] - 0s 793us/step - loss: 0.6351
Epoch 12/100
39/39 [==============================] - 0s 767us/step - loss: 0.6302
Epoch 13/100
39/39 [==============================] - 0s 793us/step - loss: 0.6261
Epoch 14/100
39/39 [==============================] - 0s 793us/step - loss: 0.6218
Epoch 15/100
39/39 [==============================] - 0s 716us/step - loss: 0.6203
Epoch 16/100
39/39 [==============================] - 0s 767us/step - loss: 0.6167
Epoch 17/100
39/39 [==============================] - 0s 818us/step - loss: 0.6150
Epoch 18/100
39/39 [==============================] - 0s 844us/step - loss: 0.6122
Epoch 19/100
39/39 [==============================] - 0s 793us/step - loss: 0.6086
Epoch 20/100
39/39 [==============================] - 0s 818us/step - loss: 0.6083
Epoch 21/100
39/39 [==============================] - 0s 793us/step - loss: 0.6052
Epoch 22/100
39/39 [==============================] - 0s 767us/step - loss: 0.6030
Epoch 23/100
39/39 [==============================] - 0s 767us/step - loss: 0.6017
Epoch 24/100
39/39 [==============================] - 0s 716us/step - loss: 0.5993
Epoch 25/100
39/39 [==============================] - 0s 793us/step - loss: 0.5973
Epoch 26/100
39/39 [==============================] - 0s 767us/step - loss: 0.5960
Epoch 27/100
39/39 [==============================] - 0s 818us/step - loss: 0.5949
Epoch 28/100
39/39 [==============================] - 0s 767us/step - loss: 0.5928
Epoch 29/100
39/39 [==============================] - 0s 767us/step - loss: 0.5920
Epoch 30/100
39/39 [==============================] - 0s 793us/step - loss: 0.5899
Epoch 31/100
39/39 [==============================] - 0s 818us/step - loss: 0.5890
Epoch 32/100
39/39 [==============================] - 0s 844us/step - loss: 0.5871
Epoch 33/100
39/39 [==============================] - 0s 793us/step - loss: 0.5867
Epoch 34/100
39/39 [==============================] - 0s 767us/step - loss: 0.5844
Epoch 35/100
39/39 [==============================] - 0s 793us/step - loss: 0.5829
Epoch 36/100
39/39 [==============================] - 0s 742us/step - loss: 0.5832
Epoch 37/100
39/39 [==============================] - 0s 742us/step - loss: 0.5826
Epoch 38/100
39/39 [==============================] - 0s 767us/step - loss: 0.5822
Epoch 39/100
39/39 [==============================] - 0s 793us/step - loss: 0.5794
Epoch 40/100
39/39 [==============================] - 0s 793us/step - loss: 0.5808
Epoch 41/100
39/39 [==============================] - 0s 793us/step - loss: 0.5803
Epoch 42/100
39/39 [==============================] - 0s 793us/step - loss: 0.5785
Epoch 43/100
39/39 [==============================] - 0s 742us/step - loss: 0.5784
Epoch 44/100
39/39 [==============================] - 0s 818us/step - loss: 0.5771
Epoch 45/100
39/39 [==============================] - 0s 716us/step - loss: 0.5776
Epoch 46/100
39/39 [==============================] - 0s 767us/step - loss: 0.5771
Epoch 47/100
39/39 [==============================] - 0s 818us/step - loss: 0.5774
Epoch 48/100
39/39 [==============================] - 0s 793us/step - loss: 0.5758
Epoch 49/100
39/39 [==============================] - 0s 742us/step - loss: 0.5748
Epoch 50/100
39/39 [==============================] - 0s 716us/step - loss: 0.5744
Epoch 51/100
39/39 [==============================] - 0s 818us/step - loss: 0.5741
Epoch 52/100
39/39 [==============================] - 0s 818us/step - loss: 0.5740
Epoch 53/100
39/39 [==============================] - 0s 818us/step - loss: 0.5732
Epoch 54/100
39/39 [==============================] - 0s 818us/step - loss: 0.5728
Epoch 55/100
39/39 [==============================] - 0s 793us/step - loss: 0.5725
Epoch 56/100
39/39 [==============================] - 0s 793us/step - loss: 0.5717
Epoch 57/100
39/39 [==============================] - 0s 793us/step - loss: 0.5713
Epoch 58/100
39/39 [==============================] - 0s 793us/step - loss: 0.5714
Epoch 59/100
39/39 [==============================] - 0s 793us/step - loss: 0.5710
Epoch 60/100
39/39 [==============================] - 0s 844us/step - loss: 0.5710
Epoch 61/100
39/39 [==============================] - 0s 844us/step - loss: 0.5709
Epoch 62/100
39/39 [==============================] - 0s 818us/step - loss: 0.5712
Epoch 63/100
39/39 [==============================] - 0s 818us/step - loss: 0.5697
Epoch 64/100
39/39 [==============================] - 0s 844us/step - loss: 0.5685
Epoch 65/100
39/39 [==============================] - 0s 818us/step - loss: 0.5689
Epoch 66/100
39/39 [==============================] - 0s 767us/step - loss: 0.5686
Epoch 67/100
39/39 [==============================] - 0s 742us/step - loss: 0.5677
Epoch 68/100
39/39 [==============================] - 0s 742us/step - loss: 0.5678
Epoch 69/100
39/39 [==============================] - 0s 742us/step - loss: 0.5670
Epoch 70/100
39/39 [==============================] - 0s 793us/step - loss: 0.5662
Epoch 71/100
39/39 [==============================] - 0s 844us/step - loss: 0.5668
Epoch 72/100
39/39 [==============================] - 0s 793us/step - loss: 0.5667
Epoch 73/100
39/39 [==============================] - 0s 767us/step - loss: 0.5660
Epoch 74/100
39/39 [==============================] - 0s 818us/step - loss: 0.5656
Epoch 75/100
39/39 [==============================] - 0s 818us/step - loss: 0.5653
Epoch 76/100
39/39 [==============================] - 0s 818us/step - loss: 0.5648
Epoch 77/100
39/39 [==============================] - 0s 844us/step - loss: 0.5655
Epoch 78/100
39/39 [==============================] - 0s 818us/step - loss: 0.5633
Epoch 79/100
39/39 [==============================] - 0s 869us/step - loss: 0.5643
Epoch 80/100
39/39 [==============================] - 0s 767us/step - loss: 0.5635
Epoch 81/100
39/39 [==============================] - 0s 742us/step - loss: 0.5618
Epoch 82/100
39/39 [==============================] - 0s 742us/step - loss: 0.5644
Epoch 83/100
39/39 [==============================] - 0s 793us/step - loss: 0.5638
Epoch 84/100
39/39 [==============================] - 0s 818us/step - loss: 0.5605
Epoch 85/100
39/39 [==============================] - 0s 793us/step - loss: 0.5618
Epoch 86/100
39/39 [==============================] - 0s 767us/step - loss: 0.5612
Epoch 87/100
39/39 [==============================] - 0s 818us/step - loss: 0.5617
Epoch 88/100
39/39 [==============================] - 0s 767us/step - loss: 0.5612
Epoch 89/100
39/39 [==============================] - 0s 844us/step - loss: 0.5610
Epoch 90/100
39/39 [==============================] - 0s 818us/step - loss: 0.5605
Epoch 91/100
39/39 [==============================] - 0s 793us/step - loss: 0.5596
Epoch 92/100
39/39 [==============================] - 0s 742us/step - loss: 0.5593
Epoch 93/100
39/39 [==============================] - 0s 793us/step - loss: 0.5597
Epoch 94/100
39/39 [==============================] - 0s 793us/step - loss: 0.5582
Epoch 95/100
39/39 [==============================] - 0s 742us/step - loss: 0.5589
Epoch 96/100
39/39 [==============================] - 0s 793us/step - loss: 0.5580
Epoch 97/100
39/39 [==============================] - 0s 818us/step - loss: 0.5577
Epoch 98/100
39/39 [==============================] - 0s 818us/step - loss: 0.5571
Epoch 99/100
39/39 [==============================] - 0s 742us/step - loss: 0.5554
Epoch 100/100
39/39 [==============================] - 0s 844us/step - loss: 0.5537
###################################################################### Accuracy: 72.06877785619272
Epoch 1/150
38/38 [==============================] - 0s 866us/step - loss: 1.0121
Epoch 2/150
38/38 [==============================] - 0s 787us/step - loss: 0.9828
Epoch 3/150
38/38 [==============================] - 0s 787us/step - loss: 0.9311
Epoch 4/150
38/38 [==============================] - 0s 709us/step - loss: 0.8667
Epoch 5/150
38/38 [==============================] - 0s 761us/step - loss: 0.8039
Epoch 6/150
38/38 [==============================] - 0s 761us/step - loss: 0.7509
Epoch 7/150
38/38 [==============================] - 0s 787us/step - loss: 0.7088
Epoch 8/150
38/38 [==============================] - 0s 787us/step - loss: 0.6779
Epoch 9/150
38/38 [==============================] - 0s 787us/step - loss: 0.6558
Epoch 10/150
38/38 [==============================] - 0s 761us/step - loss: 0.6420
Epoch 11/150
38/38 [==============================] - 0s 814us/step - loss: 0.6319
Epoch 12/150
38/38 [==============================] - 0s 787us/step - loss: 0.6246
Epoch 13/150
38/38 [==============================] - 0s 761us/step - loss: 0.6204
Epoch 14/150
38/38 [==============================] - 0s 787us/step - loss: 0.6163
Epoch 15/150
38/38 [==============================] - 0s 761us/step - loss: 0.6122
Epoch 16/150
38/38 [==============================] - 0s 787us/step - loss: 0.6093
Epoch 17/150
38/38 [==============================] - 0s 761us/step - loss: 0.6060
Epoch 18/150
38/38 [==============================] - 0s 761us/step - loss: 0.6024
Epoch 19/150
38/38 [==============================] - 0s 814us/step - loss: 0.5997
Epoch 20/150
38/38 [==============================] - 0s 866us/step - loss: 0.5959
Epoch 21/150
38/38 [==============================] - 0s 761us/step - loss: 0.5934
Epoch 22/150
38/38 [==============================] - 0s 761us/step - loss: 0.5911
Epoch 23/150
38/38 [==============================] - 0s 709us/step - loss: 0.5882
Epoch 24/150
38/38 [==============================] - 0s 761us/step - loss: 0.5857
Epoch 25/150
38/38 [==============================] - 0s 761us/step - loss: 0.5825
Epoch 26/150
38/38 [==============================] - 0s 735us/step - loss: 0.5802
Epoch 27/150
38/38 [==============================] - 0s 682us/step - loss: 0.5791
Epoch 28/150
38/38 [==============================] - 0s 761us/step - loss: 0.5777
Epoch 29/150
38/38 [==============================] - 0s 709us/step - loss: 0.5753
Epoch 30/150
38/38 [==============================] - 0s 682us/step - loss: 0.5749
Epoch 31/150
38/38 [==============================] - 0s 761us/step - loss: 0.5723
Epoch 32/150
38/38 [==============================] - 0s 682us/step - loss: 0.5714
Epoch 33/150
38/38 [==============================] - 0s 735us/step - loss: 0.5690
Epoch 34/150
38/38 [==============================] - 0s 761us/step - loss: 0.5692
Epoch 35/150
38/38 [==============================] - 0s 761us/step - loss: 0.5672
Epoch 36/150
38/38 [==============================] - 0s 787us/step - loss: 0.5662
Epoch 37/150
38/38 [==============================] - 0s 735us/step - loss: 0.5656
Epoch 38/150
38/38 [==============================] - 0s 787us/step - loss: 0.5633
Epoch 39/150
38/38 [==============================] - 0s 709us/step - loss: 0.5630
Epoch 40/150
38/38 [==============================] - 0s 682us/step - loss: 0.5621
Epoch 41/150
38/38 [==============================] - 0s 787us/step - loss: 0.5598
Epoch 42/150
38/38 [==============================] - 0s 735us/step - loss: 0.5593
Epoch 43/150
38/38 [==============================] - 0s 709us/step - loss: 0.5587
Epoch 44/150
38/38 [==============================] - 0s 735us/step - loss: 0.5568
Epoch 45/150
38/38 [==============================] - 0s 761us/step - loss: 0.5571
Epoch 46/150
38/38 [==============================] - 0s 761us/step - loss: 0.5546
Epoch 47/150
38/38 [==============================] - 0s 735us/step - loss: 0.5546
Epoch 48/150
38/38 [==============================] - 0s 761us/step - loss: 0.5535
Epoch 49/150
38/38 [==============================] - 0s 735us/step - loss: 0.5532
Epoch 50/150
38/38 [==============================] - 0s 787us/step - loss: 0.5518
Epoch 51/150
38/38 [==============================] - 0s 761us/step - loss: 0.5513
Epoch 52/150
38/38 [==============================] - 0s 735us/step - loss: 0.5506
Epoch 53/150
38/38 [==============================] - 0s 761us/step - loss: 0.5487
Epoch 54/150
38/38 [==============================] - 0s 761us/step - loss: 0.5472
Epoch 55/150
38/38 [==============================] - 0s 787us/step - loss: 0.5478
Epoch 56/150
38/38 [==============================] - 0s 761us/step - loss: 0.5478
Epoch 57/150
38/38 [==============================] - 0s 787us/step - loss: 0.5464
Epoch 58/150
38/38 [==============================] - 0s 787us/step - loss: 0.5463
Epoch 59/150
38/38 [==============================] - 0s 761us/step - loss: 0.5453
Epoch 60/150
38/38 [==============================] - 0s 787us/step - loss: 0.5453
Epoch 61/150
38/38 [==============================] - 0s 814us/step - loss: 0.5429
Epoch 62/150
38/38 [==============================] - 0s 761us/step - loss: 0.5437
Epoch 63/150
38/38 [==============================] - 0s 787us/step - loss: 0.5426
Epoch 64/150
38/38 [==============================] - 0s 787us/step - loss: 0.5426
Epoch 65/150
38/38 [==============================] - 0s 709us/step - loss: 0.5417
Epoch 66/150
38/38 [==============================] - 0s 735us/step - loss: 0.5412
Epoch 67/150
38/38 [==============================] - 0s 735us/step - loss: 0.5409
Epoch 68/150
38/38 [==============================] - 0s 761us/step - loss: 0.5398
Epoch 69/150
38/38 [==============================] - 0s 762us/step - loss: 0.5407
Epoch 70/150
38/38 [==============================] - 0s 709us/step - loss: 0.5395
Epoch 71/150
38/38 [==============================] - 0s 761us/step - loss: 0.5402
Epoch 72/150
38/38 [==============================] - 0s 814us/step - loss: 0.5381
Epoch 73/150
38/38 [==============================] - 0s 814us/step - loss: 0.5380
Epoch 74/150
38/38 [==============================] - 0s 787us/step - loss: 0.5383
Epoch 75/150
38/38 [==============================] - 0s 761us/step - loss: 0.5381
Epoch 76/150
38/38 [==============================] - 0s 787us/step - loss: 0.5369
Epoch 77/150
38/38 [==============================] - 0s 787us/step - loss: 0.5369
Epoch 78/150
38/38 [==============================] - 0s 787us/step - loss: 0.5364
Epoch 79/150
38/38 [==============================] - 0s 814us/step - loss: 0.5358
Epoch 80/150
38/38 [==============================] - 0s 761us/step - loss: 0.5353
Epoch 81/150
38/38 [==============================] - 0s 787us/step - loss: 0.5367
Epoch 82/150
38/38 [==============================] - 0s 761us/step - loss: 0.5350
Epoch 83/150
38/38 [==============================] - 0s 761us/step - loss: 0.5347
Epoch 84/150
38/38 [==============================] - 0s 682us/step - loss: 0.5353
Epoch 85/150
38/38 [==============================] - 0s 735us/step - loss: 0.5339
Epoch 86/150
38/38 [==============================] - 0s 709us/step - loss: 0.5349
Epoch 87/150
38/38 [==============================] - 0s 735us/step - loss: 0.5339
Epoch 88/150
38/38 [==============================] - 0s 761us/step - loss: 0.5347
Epoch 89/150
38/38 [==============================] - 0s 787us/step - loss: 0.5337
Epoch 90/150
38/38 [==============================] - 0s 787us/step - loss: 0.5333
Epoch 91/150
38/38 [==============================] - 0s 682us/step - loss: 0.5341
Epoch 92/150
38/38 [==============================] - 0s 735us/step - loss: 0.5315
Epoch 93/150
38/38 [==============================] - 0s 709us/step - loss: 0.5329
Epoch 94/150
38/38 [==============================] - 0s 761us/step - loss: 0.5333
Epoch 95/150
38/38 [==============================] - 0s 761us/step - loss: 0.5311
Epoch 96/150
38/38 [==============================] - 0s 735us/step - loss: 0.5318
Epoch 97/150
38/38 [==============================] - 0s 761us/step - loss: 0.5320
Epoch 98/150
38/38 [==============================] - 0s 761us/step - loss: 0.5311
Epoch 99/150
38/38 [==============================] - 0s 735us/step - loss: 0.5318
Epoch 100/150
38/38 [==============================] - 0s 709us/step - loss: 0.5313
Epoch 101/150
38/38 [==============================] - 0s 787us/step - loss: 0.5311
Epoch 102/150
38/38 [==============================] - 0s 787us/step - loss: 0.5308
Epoch 103/150
38/38 [==============================] - 0s 761us/step - loss: 0.5311
Epoch 104/150
38/38 [==============================] - 0s 787us/step - loss: 0.5302
Epoch 105/150
38/38 [==============================] - 0s 787us/step - loss: 0.5308
Epoch 106/150
38/38 [==============================] - 0s 814us/step - loss: 0.5287
Epoch 107/150
38/38 [==============================] - 0s 761us/step - loss: 0.5301
Epoch 108/150
38/38 [==============================] - 0s 709us/step - loss: 0.5291
Epoch 109/150
38/38 [==============================] - 0s 787us/step - loss: 0.5294
Epoch 110/150
38/38 [==============================] - 0s 787us/step - loss: 0.5293
Epoch 111/150
38/38 [==============================] - 0s 787us/step - loss: 0.5287
Epoch 112/150
38/38 [==============================] - 0s 787us/step - loss: 0.5287
Epoch 113/150
38/38 [==============================] - 0s 761us/step - loss: 0.5286
Epoch 114/150
38/38 [==============================] - 0s 814us/step - loss: 0.5291
Epoch 115/150
38/38 [==============================] - 0s 761us/step - loss: 0.5280
Epoch 116/150
38/38 [==============================] - 0s 787us/step - loss: 0.5268
Epoch 117/150
38/38 [==============================] - 0s 761us/step - loss: 0.5271
Epoch 118/150
38/38 [==============================] - 0s 787us/step - loss: 0.5273
Epoch 119/150
38/38 [==============================] - 0s 761us/step - loss: 0.5262
Epoch 120/150
38/38 [==============================] - 0s 787us/step - loss: 0.5272
Epoch 121/150
38/38 [==============================] - 0s 787us/step - loss: 0.5271
Epoch 122/150
38/38 [==============================] - 0s 814us/step - loss: 0.5263
Epoch 123/150
38/38 [==============================] - 0s 735us/step - loss: 0.5255
Epoch 124/150
38/38 [==============================] - 0s 682us/step - loss: 0.5269
Epoch 125/150
38/38 [==============================] - 0s 735us/step - loss: 0.5255
Epoch 126/150
38/38 [==============================] - 0s 735us/step - loss: 0.5257
Epoch 127/150
38/38 [==============================] - 0s 761us/step - loss: 0.5256
Epoch 128/150
38/38 [==============================] - 0s 735us/step - loss: 0.5254
Epoch 129/150
38/38 [==============================] - 0s 735us/step - loss: 0.5259
Epoch 130/150
38/38 [==============================] - 0s 761us/step - loss: 0.5245
Epoch 131/150
38/38 [==============================] - 0s 761us/step - loss: 0.5237
Epoch 132/150
38/38 [==============================] - 0s 761us/step - loss: 0.5249
Epoch 133/150
38/38 [==============================] - 0s 787us/step - loss: 0.5245
Epoch 134/150
38/38 [==============================] - 0s 814us/step - loss: 0.5229
Epoch 135/150
38/38 [==============================] - 0s 761us/step - loss: 0.5248
Epoch 136/150
38/38 [==============================] - 0s 761us/step - loss: 0.5240
Epoch 137/150
38/38 [==============================] - 0s 709us/step - loss: 0.5235
Epoch 138/150
38/38 [==============================] - 0s 761us/step - loss: 0.5238
Epoch 139/150
38/38 [==============================] - 0s 761us/step - loss: 0.5231
Epoch 140/150
38/38 [==============================] - 0s 735us/step - loss: 0.5226
Epoch 141/150
38/38 [==============================] - 0s 709us/step - loss: 0.5212
Epoch 142/150
38/38 [==============================] - 0s 735us/step - loss: 0.5228
Epoch 143/150
38/38 [==============================] - 0s 735us/step - loss: 0.5234
Epoch 144/150
38/38 [==============================] - 0s 735us/step - loss: 0.5223
Epoch 145/150
38/38 [==============================] - 0s 761us/step - loss: 0.5227
Epoch 146/150
38/38 [==============================] - 0s 761us/step - loss: 0.5216
Epoch 147/150
38/38 [==============================] - 0s 761us/step - loss: 0.5202
Epoch 148/150
38/38 [==============================] - 0s 761us/step - loss: 0.5202
Epoch 149/150
38/38 [==============================] - 0s 787us/step - loss: 0.5215
Epoch 150/150
38/38 [==============================] - 0s 814us/step - loss: 0.5199
###################################################################### Accuracy: 69.01935398785852
Epoch 1/150
39/39 [==============================] - 0s 895us/step - loss: 0.9841
Epoch 2/150
39/39 [==============================] - 0s 793us/step - loss: 0.9705
Epoch 3/150
39/39 [==============================] - 0s 793us/step - loss: 0.9397
Epoch 4/150
39/39 [==============================] - 0s 767us/step - loss: 0.8887
Epoch 5/150
39/39 [==============================] - 0s 818us/step - loss: 0.8221
Epoch 6/150
39/39 [==============================] - 0s 818us/step - loss: 0.7599
Epoch 7/150
39/39 [==============================] - 0s 818us/step - loss: 0.7158
Epoch 8/150
39/39 [==============================] - 0s 818us/step - loss: 0.6834
Epoch 9/150
39/39 [==============================] - 0s 793us/step - loss: 0.6680
Epoch 10/150
39/39 [==============================] - 0s 844us/step - loss: 0.6565
Epoch 11/150
39/39 [==============================] - 0s 818us/step - loss: 0.6491
Epoch 12/150
39/39 [==============================] - 0s 818us/step - loss: 0.6464
Epoch 13/150
39/39 [==============================] - 0s 793us/step - loss: 0.6434
Epoch 14/150
39/39 [==============================] - 0s 793us/step - loss: 0.6408
Epoch 15/150
39/39 [==============================] - 0s 793us/step - loss: 0.6381
Epoch 16/150
39/39 [==============================] - 0s 767us/step - loss: 0.6373
Epoch 17/150
39/39 [==============================] - 0s 742us/step - loss: 0.6354
Epoch 18/150
39/39 [==============================] - 0s 793us/step - loss: 0.6336
Epoch 19/150
39/39 [==============================] - 0s 716us/step - loss: 0.6326
Epoch 20/150
39/39 [==============================] - 0s 742us/step - loss: 0.6312
Epoch 21/150
39/39 [==============================] - 0s 793us/step - loss: 0.6295
Epoch 22/150
39/39 [==============================] - 0s 793us/step - loss: 0.6287
Epoch 23/150
39/39 [==============================] - 0s 818us/step - loss: 0.6272
Epoch 24/150
39/39 [==============================] - 0s 793us/step - loss: 0.6246
Epoch 25/150
39/39 [==============================] - 0s 844us/step - loss: 0.6239
Epoch 26/150
39/39 [==============================] - 0s 818us/step - loss: 0.6228
Epoch 27/150
39/39 [==============================] - ETA: 0s - loss: 0.439 - 0s 844us/step - loss: 0.6212
Epoch 28/150
39/39 [==============================] - 0s 819us/step - loss: 0.6197
Epoch 29/150
39/39 [==============================] - 0s 818us/step - loss: 0.6181
Epoch 30/150
39/39 [==============================] - ETA: 0s - loss: 0.613 - 0s 844us/step - loss: 0.6173
Epoch 31/150
39/39 [==============================] - 0s 818us/step - loss: 0.6154
Epoch 32/150
39/39 [==============================] - 0s 742us/step - loss: 0.6143
Epoch 33/150
39/39 [==============================] - 0s 818us/step - loss: 0.6126
Epoch 34/150
39/39 [==============================] - 0s 818us/step - loss: 0.6113
Epoch 35/150
39/39 [==============================] - 0s 767us/step - loss: 0.6096
Epoch 36/150
39/39 [==============================] - 0s 818us/step - loss: 0.6085
Epoch 37/150
39/39 [==============================] - 0s 869us/step - loss: 0.6055
Epoch 38/150
39/39 [==============================] - 0s 793us/step - loss: 0.6060
Epoch 39/150
39/39 [==============================] - 0s 767us/step - loss: 0.6041
Epoch 40/150
39/39 [==============================] - 0s 818us/step - loss: 0.6027
Epoch 41/150
39/39 [==============================] - 0s 793us/step - loss: 0.6002
Epoch 42/150
39/39 [==============================] - 0s 767us/step - loss: 0.6001
Epoch 43/150
39/39 [==============================] - 0s 793us/step - loss: 0.5987
Epoch 44/150
39/39 [==============================] - 0s 767us/step - loss: 0.5971
Epoch 45/150
39/39 [==============================] - 0s 793us/step - loss: 0.5958
Epoch 46/150
39/39 [==============================] - 0s 793us/step - loss: 0.5940
Epoch 47/150
39/39 [==============================] - 0s 818us/step - loss: 0.5936
Epoch 48/150
39/39 [==============================] - 0s 742us/step - loss: 0.5919
Epoch 49/150
39/39 [==============================] - 0s 793us/step - loss: 0.5909
Epoch 50/150
39/39 [==============================] - 0s 793us/step - loss: 0.5897
Epoch 51/150
39/39 [==============================] - 0s 716us/step - loss: 0.5893
Epoch 52/150
39/39 [==============================] - 0s 818us/step - loss: 0.5883
Epoch 53/150
39/39 [==============================] - 0s 767us/step - loss: 0.5867
Epoch 54/150
39/39 [==============================] - 0s 844us/step - loss: 0.5856
Epoch 55/150
39/39 [==============================] - 0s 818us/step - loss: 0.5845
Epoch 56/150
39/39 [==============================] - 0s 844us/step - loss: 0.5840
Epoch 57/150
39/39 [==============================] - 0s 793us/step - loss: 0.5829
Epoch 58/150
39/39 [==============================] - 0s 844us/step - loss: 0.5825
Epoch 59/150
39/39 [==============================] - 0s 793us/step - loss: 0.5798
Epoch 60/150
39/39 [==============================] - 0s 793us/step - loss: 0.5811
Epoch 61/150
39/39 [==============================] - 0s 844us/step - loss: 0.5789
Epoch 62/150
39/39 [==============================] - 0s 793us/step - loss: 0.5794
Epoch 63/150
39/39 [==============================] - 0s 818us/step - loss: 0.5791
Epoch 64/150
39/39 [==============================] - 0s 844us/step - loss: 0.5781
Epoch 65/150
39/39 [==============================] - 0s 793us/step - loss: 0.5766
Epoch 66/150
39/39 [==============================] - 0s 818us/step - loss: 0.5755
Epoch 67/150
39/39 [==============================] - 0s 818us/step - loss: 0.5751
Epoch 68/150
39/39 [==============================] - 0s 742us/step - loss: 0.5750
Epoch 69/150
39/39 [==============================] - 0s 742us/step - loss: 0.5743
Epoch 70/150
39/39 [==============================] - 0s 818us/step - loss: 0.5738
Epoch 71/150
39/39 [==============================] - 0s 793us/step - loss: 0.5734
Epoch 72/150
39/39 [==============================] - 0s 844us/step - loss: 0.5712
Epoch 73/150
39/39 [==============================] - 0s 767us/step - loss: 0.5723
Epoch 74/150
39/39 [==============================] - 0s 716us/step - loss: 0.5707
Epoch 75/150
39/39 [==============================] - 0s 793us/step - loss: 0.5700
Epoch 76/150
39/39 [==============================] - 0s 767us/step - loss: 0.5704
Epoch 77/150
39/39 [==============================] - 0s 767us/step - loss: 0.5697
Epoch 78/150
39/39 [==============================] - 0s 742us/step - loss: 0.5692
Epoch 79/150
39/39 [==============================] - 0s 793us/step - loss: 0.5685
Epoch 80/150
39/39 [==============================] - 0s 767us/step - loss: 0.5688
Epoch 81/150
39/39 [==============================] - 0s 818us/step - loss: 0.5691
Epoch 82/150
39/39 [==============================] - 0s 818us/step - loss: 0.5676
Epoch 83/150
39/39 [==============================] - 0s 742us/step - loss: 0.5680
Epoch 84/150
39/39 [==============================] - 0s 767us/step - loss: 0.5668
Epoch 85/150
39/39 [==============================] - 0s 767us/step - loss: 0.5658
Epoch 86/150
39/39 [==============================] - 0s 793us/step - loss: 0.5656
Epoch 87/150
39/39 [==============================] - 0s 818us/step - loss: 0.5658
Epoch 88/150
39/39 [==============================] - 0s 793us/step - loss: 0.5650
Epoch 89/150
39/39 [==============================] - 0s 793us/step - loss: 0.5647
Epoch 90/150
39/39 [==============================] - 0s 767us/step - loss: 0.5647
Epoch 91/150
39/39 [==============================] - 0s 767us/step - loss: 0.5641
Epoch 92/150
39/39 [==============================] - 0s 793us/step - loss: 0.5639
Epoch 93/150
39/39 [==============================] - 0s 793us/step - loss: 0.5641
Epoch 94/150
39/39 [==============================] - 0s 818us/step - loss: 0.5636
Epoch 95/150
39/39 [==============================] - 0s 844us/step - loss: 0.5616
Epoch 96/150
39/39 [==============================] - 0s 818us/step - loss: 0.5632
Epoch 97/150
39/39 [==============================] - 0s 844us/step - loss: 0.5617
Epoch 98/150
39/39 [==============================] - 0s 793us/step - loss: 0.5616
Epoch 99/150
39/39 [==============================] - 0s 767us/step - loss: 0.5615
Epoch 100/150
39/39 [==============================] - 0s 742us/step - loss: 0.5620
Epoch 101/150
39/39 [==============================] - 0s 767us/step - loss: 0.5613
Epoch 102/150
39/39 [==============================] - 0s 767us/step - loss: 0.5604
Epoch 103/150
39/39 [==============================] - 0s 818us/step - loss: 0.5603
Epoch 104/150
39/39 [==============================] - 0s 818us/step - loss: 0.5607
Epoch 105/150
39/39 [==============================] - 0s 844us/step - loss: 0.5591
Epoch 106/150
39/39 [==============================] - 0s 818us/step - loss: 0.5593
Epoch 107/150
39/39 [==============================] - 0s 793us/step - loss: 0.5596
Epoch 108/150
39/39 [==============================] - 0s 844us/step - loss: 0.5598
Epoch 109/150
39/39 [==============================] - 0s 818us/step - loss: 0.5589
Epoch 110/150
39/39 [==============================] - 0s 793us/step - loss: 0.5591
Epoch 111/150
39/39 [==============================] - 0s 818us/step - loss: 0.5595
Epoch 112/150
39/39 [==============================] - 0s 742us/step - loss: 0.5576
Epoch 113/150
39/39 [==============================] - 0s 767us/step - loss: 0.5588
Epoch 114/150
39/39 [==============================] - 0s 793us/step - loss: 0.5579
Epoch 115/150
39/39 [==============================] - 0s 767us/step - loss: 0.5573
Epoch 116/150
39/39 [==============================] - 0s 767us/step - loss: 0.5572
Epoch 117/150
39/39 [==============================] - 0s 767us/step - loss: 0.5560
Epoch 118/150
39/39 [==============================] - 0s 767us/step - loss: 0.5565
Epoch 119/150
39/39 [==============================] - 0s 844us/step - loss: 0.5557
Epoch 120/150
39/39 [==============================] - 0s 767us/step - loss: 0.5554
Epoch 121/150
39/39 [==============================] - 0s 742us/step - loss: 0.5553
Epoch 122/150
39/39 [==============================] - 0s 793us/step - loss: 0.5557
Epoch 123/150
39/39 [==============================] - 0s 793us/step - loss: 0.5550
Epoch 124/150
39/39 [==============================] - 0s 844us/step - loss: 0.5537
Epoch 125/150
39/39 [==============================] - 0s 818us/step - loss: 0.5553
Epoch 126/150
39/39 [==============================] - 0s 844us/step - loss: 0.5551
Epoch 127/150
39/39 [==============================] - 0s 767us/step - loss: 0.5540
Epoch 128/150
39/39 [==============================] - 0s 767us/step - loss: 0.5526
Epoch 129/150
39/39 [==============================] - 0s 818us/step - loss: 0.5544
Epoch 130/150
39/39 [==============================] - 0s 818us/step - loss: 0.5545
Epoch 131/150
39/39 [==============================] - 0s 818us/step - loss: 0.5535
Epoch 132/150
39/39 [==============================] - 0s 818us/step - loss: 0.5528
Epoch 133/150
39/39 [==============================] - 0s 818us/step - loss: 0.5529
Epoch 134/150
39/39 [==============================] - 0s 869us/step - loss: 0.5517
Epoch 135/150
39/39 [==============================] - 0s 793us/step - loss: 0.5523
Epoch 136/150
39/39 [==============================] - 0s 818us/step - loss: 0.5515
Epoch 137/150
39/39 [==============================] - 0s 818us/step - loss: 0.5532
Epoch 138/150
39/39 [==============================] - 0s 793us/step - loss: 0.5511
Epoch 139/150
39/39 [==============================] - 0s 793us/step - loss: 0.5506
Epoch 140/150
39/39 [==============================] - 0s 793us/step - loss: 0.5508
Epoch 141/150
39/39 [==============================] - 0s 844us/step - loss: 0.5506
Epoch 142/150
39/39 [==============================] - 0s 818us/step - loss: 0.5499
Epoch 143/150
39/39 [==============================] - 0s 767us/step - loss: 0.5501
Epoch 144/150
39/39 [==============================] - 0s 844us/step - loss: 0.5505
Epoch 145/150
39/39 [==============================] - 0s 818us/step - loss: 0.5489
Epoch 146/150
39/39 [==============================] - 0s 793us/step - loss: 0.5485
Epoch 147/150
39/39 [==============================] - 0s 767us/step - loss: 0.5483
Epoch 148/150
39/39 [==============================] - 0s 793us/step - loss: 0.5475
Epoch 149/150
39/39 [==============================] - 0s 818us/step - loss: 0.5493
Epoch 150/150
39/39 [==============================] - 0s 818us/step - loss: 0.5481
###################################################################### Accuracy: 72.41807466126224
Epoch 1/150
39/39 [==============================] - 0s 869us/step - loss: 0.9744
Epoch 2/150
39/39 [==============================] - 0s 844us/step - loss: 0.9609
Epoch 3/150
39/39 [==============================] - 0s 818us/step - loss: 0.9317
Epoch 4/150
39/39 [==============================] - 0s 742us/step - loss: 0.8880
Epoch 5/150
39/39 [==============================] - 0s 793us/step - loss: 0.8323
Epoch 6/150
39/39 [==============================] - 0s 742us/step - loss: 0.7799
Epoch 7/150
39/39 [==============================] - 0s 793us/step - loss: 0.7337
Epoch 8/150
39/39 [==============================] - 0s 767us/step - loss: 0.6968
Epoch 9/150
39/39 [==============================] - 0s 767us/step - loss: 0.6679
Epoch 10/150
39/39 [==============================] - 0s 742us/step - loss: 0.6477
Epoch 11/150
39/39 [==============================] - 0s 844us/step - loss: 0.6351
Epoch 12/150
39/39 [==============================] - 0s 767us/step - loss: 0.6255
Epoch 13/150
39/39 [==============================] - 0s 742us/step - loss: 0.6221
Epoch 14/150
39/39 [==============================] - 0s 767us/step - loss: 0.6174
Epoch 15/150
39/39 [==============================] - 0s 767us/step - loss: 0.6150
Epoch 16/150
39/39 [==============================] - 0s 767us/step - loss: 0.6116
Epoch 17/150
39/39 [==============================] - 0s 818us/step - loss: 0.6090
Epoch 18/150
39/39 [==============================] - 0s 742us/step - loss: 0.6061
Epoch 19/150
39/39 [==============================] - 0s 793us/step - loss: 0.6043
Epoch 20/150
39/39 [==============================] - 0s 793us/step - loss: 0.6017
Epoch 21/150
39/39 [==============================] - 0s 742us/step - loss: 0.6003
Epoch 22/150
39/39 [==============================] - 0s 793us/step - loss: 0.5980
Epoch 23/150
39/39 [==============================] - 0s 793us/step - loss: 0.5962
Epoch 24/150
39/39 [==============================] - 0s 767us/step - loss: 0.5936
Epoch 25/150
39/39 [==============================] - 0s 818us/step - loss: 0.5923
Epoch 26/150
39/39 [==============================] - 0s 767us/step - loss: 0.5908
Epoch 27/150
39/39 [==============================] - 0s 793us/step - loss: 0.5887
Epoch 28/150
39/39 [==============================] - 0s 793us/step - loss: 0.5875
Epoch 29/150
39/39 [==============================] - 0s 818us/step - loss: 0.5858
Epoch 30/150
39/39 [==============================] - 0s 793us/step - loss: 0.5835
Epoch 31/150
39/39 [==============================] - 0s 793us/step - loss: 0.5820
Epoch 32/150
39/39 [==============================] - 0s 716us/step - loss: 0.5801
Epoch 33/150
39/39 [==============================] - 0s 793us/step - loss: 0.5788
Epoch 34/150
39/39 [==============================] - 0s 767us/step - loss: 0.5778
Epoch 35/150
39/39 [==============================] - 0s 793us/step - loss: 0.5761
Epoch 36/150
39/39 [==============================] - 0s 767us/step - loss: 0.5750
Epoch 37/150
39/39 [==============================] - 0s 793us/step - loss: 0.5744
Epoch 38/150
39/39 [==============================] - 0s 818us/step - loss: 0.5728
Epoch 39/150
39/39 [==============================] - 0s 844us/step - loss: 0.5716
Epoch 40/150
39/39 [==============================] - 0s 818us/step - loss: 0.5698
Epoch 41/150
39/39 [==============================] - 0s 767us/step - loss: 0.5682
Epoch 42/150
39/39 [==============================] - 0s 742us/step - loss: 0.5690
Epoch 43/150
39/39 [==============================] - 0s 767us/step - loss: 0.5673
Epoch 44/150
39/39 [==============================] - 0s 818us/step - loss: 0.5665
Epoch 45/150
39/39 [==============================] - 0s 742us/step - loss: 0.5653
Epoch 46/150
39/39 [==============================] - 0s 818us/step - loss: 0.5644
Epoch 47/150
39/39 [==============================] - 0s 793us/step - loss: 0.5630
Epoch 48/150
39/39 [==============================] - 0s 793us/step - loss: 0.5613
Epoch 49/150
39/39 [==============================] - 0s 793us/step - loss: 0.5616
Epoch 50/150
39/39 [==============================] - 0s 742us/step - loss: 0.5606
Epoch 51/150
39/39 [==============================] - 0s 818us/step - loss: 0.5602
Epoch 52/150
39/39 [==============================] - 0s 793us/step - loss: 0.5589
Epoch 53/150
39/39 [==============================] - 0s 742us/step - loss: 0.5575
Epoch 54/150
39/39 [==============================] - 0s 767us/step - loss: 0.5578
Epoch 55/150
39/39 [==============================] - 0s 767us/step - loss: 0.5571
Epoch 56/150
39/39 [==============================] - 0s 818us/step - loss: 0.5556
Epoch 57/150
39/39 [==============================] - 0s 793us/step - loss: 0.5558
Epoch 58/150
39/39 [==============================] - 0s 869us/step - loss: 0.5553
Epoch 59/150
39/39 [==============================] - 0s 793us/step - loss: 0.5539
Epoch 60/150
39/39 [==============================] - 0s 793us/step - loss: 0.5539
Epoch 61/150
39/39 [==============================] - 0s 767us/step - loss: 0.5530
Epoch 62/150
39/39 [==============================] - 0s 767us/step - loss: 0.5528
Epoch 63/150
39/39 [==============================] - 0s 793us/step - loss: 0.5519
Epoch 64/150
39/39 [==============================] - 0s 844us/step - loss: 0.5512
Epoch 65/150
39/39 [==============================] - 0s 793us/step - loss: 0.5514
Epoch 66/150
39/39 [==============================] - 0s 793us/step - loss: 0.5507
Epoch 67/150
39/39 [==============================] - 0s 742us/step - loss: 0.5495
Epoch 68/150
39/39 [==============================] - 0s 793us/step - loss: 0.5493
Epoch 69/150
39/39 [==============================] - 0s 767us/step - loss: 0.5488
Epoch 70/150
39/39 [==============================] - 0s 946us/step - loss: 0.5492
Epoch 71/150
39/39 [==============================] - 0s 843us/step - loss: 0.5489
Epoch 72/150
39/39 [==============================] - 0s 793us/step - loss: 0.5483
Epoch 73/150
39/39 [==============================] - 0s 767us/step - loss: 0.5481
Epoch 74/150
39/39 [==============================] - 0s 690us/step - loss: 0.5471
Epoch 75/150
39/39 [==============================] - 0s 793us/step - loss: 0.5468
Epoch 76/150
39/39 [==============================] - 0s 742us/step - loss: 0.5466
Epoch 77/150
39/39 [==============================] - 0s 793us/step - loss: 0.5464
Epoch 78/150
39/39 [==============================] - 0s 793us/step - loss: 0.5461
Epoch 79/150
39/39 [==============================] - 0s 793us/step - loss: 0.5457
Epoch 80/150
39/39 [==============================] - 0s 818us/step - loss: 0.5444
Epoch 81/150
39/39 [==============================] - 0s 818us/step - loss: 0.5459
Epoch 82/150
39/39 [==============================] - 0s 767us/step - loss: 0.5436
Epoch 83/150
39/39 [==============================] - 0s 793us/step - loss: 0.5443
Epoch 84/150
39/39 [==============================] - 0s 818us/step - loss: 0.5447
Epoch 85/150
39/39 [==============================] - 0s 793us/step - loss: 0.5443
Epoch 86/150
39/39 [==============================] - 0s 690us/step - loss: 0.5437
Epoch 87/150
39/39 [==============================] - 0s 869us/step - loss: 0.5430
Epoch 88/150
39/39 [==============================] - 0s 767us/step - loss: 0.5428
Epoch 89/150
39/39 [==============================] - 0s 716us/step - loss: 0.5419
Epoch 90/150
39/39 [==============================] - 0s 793us/step - loss: 0.5423
Epoch 91/150
39/39 [==============================] - 0s 690us/step - loss: 0.5421
Epoch 92/150
39/39 [==============================] - 0s 844us/step - loss: 0.5401
Epoch 93/150
39/39 [==============================] - 0s 742us/step - loss: 0.5412
Epoch 94/150
39/39 [==============================] - 0s 793us/step - loss: 0.5402
Epoch 95/150
39/39 [==============================] - 0s 767us/step - loss: 0.5406
Epoch 96/150
39/39 [==============================] - 0s 742us/step - loss: 0.5413
Epoch 97/150
39/39 [==============================] - 0s 767us/step - loss: 0.5403
Epoch 98/150
39/39 [==============================] - 0s 767us/step - loss: 0.5392
Epoch 99/150
39/39 [==============================] - 0s 793us/step - loss: 0.5397
Epoch 100/150
39/39 [==============================] - 0s 818us/step - loss: 0.5395
Epoch 101/150
39/39 [==============================] - 0s 742us/step - loss: 0.5369
Epoch 102/150
39/39 [==============================] - 0s 793us/step - loss: 0.5394
Epoch 103/150
39/39 [==============================] - 0s 793us/step - loss: 0.5383
Epoch 104/150
39/39 [==============================] - 0s 793us/step - loss: 0.5392
Epoch 105/150
39/39 [==============================] - 0s 818us/step - loss: 0.5378
Epoch 106/150
39/39 [==============================] - 0s 818us/step - loss: 0.5387
Epoch 107/150
39/39 [==============================] - 0s 767us/step - loss: 0.5373
Epoch 108/150
39/39 [==============================] - 0s 793us/step - loss: 0.5373
Epoch 109/150
39/39 [==============================] - 0s 844us/step - loss: 0.5376
Epoch 110/150
39/39 [==============================] - 0s 818us/step - loss: 0.5370
Epoch 111/150
39/39 [==============================] - 0s 793us/step - loss: 0.5361
Epoch 112/150
39/39 [==============================] - 0s 767us/step - loss: 0.5366
Epoch 113/150
39/39 [==============================] - 0s 818us/step - loss: 0.5360
Epoch 114/150
39/39 [==============================] - 0s 818us/step - loss: 0.5359
Epoch 115/150
39/39 [==============================] - 0s 690us/step - loss: 0.5350
Epoch 116/150
39/39 [==============================] - 0s 818us/step - loss: 0.5356
Epoch 117/150
39/39 [==============================] - 0s 793us/step - loss: 0.5355
Epoch 118/150
39/39 [==============================] - 0s 767us/step - loss: 0.5347
Epoch 119/150
39/39 [==============================] - 0s 818us/step - loss: 0.5343
Epoch 120/150
39/39 [==============================] - 0s 767us/step - loss: 0.5343
Epoch 121/150
39/39 [==============================] - 0s 844us/step - loss: 0.5344
Epoch 122/150
39/39 [==============================] - 0s 767us/step - loss: 0.5340
Epoch 123/150
39/39 [==============================] - 0s 767us/step - loss: 0.5341
Epoch 124/150
39/39 [==============================] - 0s 818us/step - loss: 0.5345
Epoch 125/150
39/39 [==============================] - 0s 793us/step - loss: 0.5327
Epoch 126/150
39/39 [==============================] - 0s 742us/step - loss: 0.5333
Epoch 127/150
39/39 [==============================] - 0s 767us/step - loss: 0.5326
Epoch 128/150
39/39 [==============================] - 0s 767us/step - loss: 0.5326
Epoch 129/150
39/39 [==============================] - 0s 818us/step - loss: 0.5319
Epoch 130/150
39/39 [==============================] - 0s 767us/step - loss: 0.5327
Epoch 131/150
39/39 [==============================] - 0s 793us/step - loss: 0.5330
Epoch 132/150
39/39 [==============================] - 0s 793us/step - loss: 0.5319
Epoch 133/150
39/39 [==============================] - 0s 793us/step - loss: 0.5313
Epoch 134/150
39/39 [==============================] - 0s 793us/step - loss: 0.5312
Epoch 135/150
39/39 [==============================] - 0s 767us/step - loss: 0.5317
Epoch 136/150
39/39 [==============================] - 0s 767us/step - loss: 0.5306
Epoch 137/150
39/39 [==============================] - 0s 793us/step - loss: 0.5305
Epoch 138/150
39/39 [==============================] - 0s 716us/step - loss: 0.5299
Epoch 139/150
39/39 [==============================] - 0s 767us/step - loss: 0.5303
Epoch 140/150
39/39 [==============================] - 0s 742us/step - loss: 0.5298
Epoch 141/150
39/39 [==============================] - 0s 844us/step - loss: 0.5302
Epoch 142/150
39/39 [==============================] - 0s 818us/step - loss: 0.5293
Epoch 143/150
39/39 [==============================] - 0s 818us/step - loss: 0.5305
Epoch 144/150
39/39 [==============================] - 0s 844us/step - loss: 0.5293
Epoch 145/150
39/39 [==============================] - 0s 793us/step - loss: 0.5290
Epoch 146/150
39/39 [==============================] - 0s 767us/step - loss: 0.5290
Epoch 147/150
39/39 [==============================] - 0s 793us/step - loss: 0.5283
Epoch 148/150
39/39 [==============================] - 0s 818us/step - loss: 0.5280
Epoch 149/150
39/39 [==============================] - 0s 1ms/step - loss: 0.5277
Epoch 150/150
39/39 [==============================] - 0s 972us/step - loss: 0.5272
###################################################################### Accuracy: 91.29927583773056
Epoch 1/150
39/39 [==============================] - 0s 793us/step - loss: 1.0171
Epoch 2/150
39/39 [==============================] - 0s 793us/step - loss: 1.0028
Epoch 3/150
39/39 [==============================] - 0s 793us/step - loss: 0.9661
Epoch 4/150
39/39 [==============================] - 0s 742us/step - loss: 0.9042
Epoch 5/150
39/39 [==============================] - 0s 818us/step - loss: 0.8268
Epoch 6/150
39/39 [==============================] - 0s 742us/step - loss: 0.7528
Epoch 7/150
39/39 [==============================] - 0s 742us/step - loss: 0.6993
Epoch 8/150
39/39 [==============================] - 0s 818us/step - loss: 0.6692
Epoch 9/150
39/39 [==============================] - 0s 767us/step - loss: 0.6538
Epoch 10/150
39/39 [==============================] - 0s 767us/step - loss: 0.6470
Epoch 11/150
39/39 [==============================] - 0s 742us/step - loss: 0.6434
Epoch 12/150
39/39 [==============================] - 0s 793us/step - loss: 0.6393
Epoch 13/150
39/39 [==============================] - 0s 818us/step - loss: 0.6379
Epoch 14/150
39/39 [==============================] - 0s 767us/step - loss: 0.6353
Epoch 15/150
39/39 [==============================] - 0s 716us/step - loss: 0.6331
Epoch 16/150
39/39 [==============================] - 0s 767us/step - loss: 0.6317
Epoch 17/150
39/39 [==============================] - 0s 716us/step - loss: 0.6296
Epoch 18/150
39/39 [==============================] - 0s 742us/step - loss: 0.6278
Epoch 19/150
39/39 [==============================] - 0s 793us/step - loss: 0.6250
Epoch 20/150
39/39 [==============================] - 0s 818us/step - loss: 0.6245
Epoch 21/150
39/39 [==============================] - 0s 793us/step - loss: 0.6233
Epoch 22/150
39/39 [==============================] - 0s 818us/step - loss: 0.6217
Epoch 23/150
39/39 [==============================] - 0s 818us/step - loss: 0.6195
Epoch 24/150
39/39 [==============================] - 0s 793us/step - loss: 0.6185
Epoch 25/150
39/39 [==============================] - 0s 844us/step - loss: 0.6169
Epoch 26/150
39/39 [==============================] - 0s 742us/step - loss: 0.6149
Epoch 27/150
39/39 [==============================] - 0s 793us/step - loss: 0.6140
Epoch 28/150
39/39 [==============================] - 0s 818us/step - loss: 0.6120
Epoch 29/150
39/39 [==============================] - 0s 844us/step - loss: 0.6112
Epoch 30/150
39/39 [==============================] - 0s 844us/step - loss: 0.6099
Epoch 31/150
39/39 [==============================] - 0s 793us/step - loss: 0.6095
Epoch 32/150
39/39 [==============================] - 0s 793us/step - loss: 0.6087
Epoch 33/150
39/39 [==============================] - 0s 818us/step - loss: 0.6061
Epoch 34/150
39/39 [==============================] - 0s 895us/step - loss: 0.6064
Epoch 35/150
39/39 [==============================] - 0s 818us/step - loss: 0.6050
Epoch 36/150
39/39 [==============================] - 0s 844us/step - loss: 0.6044
Epoch 37/150
39/39 [==============================] - 0s 818us/step - loss: 0.6036
Epoch 38/150
39/39 [==============================] - 0s 869us/step - loss: 0.6008
Epoch 39/150
39/39 [==============================] - 0s 818us/step - loss: 0.6014
Epoch 40/150
39/39 [==============================] - 0s 767us/step - loss: 0.5998
Epoch 41/150
39/39 [==============================] - 0s 818us/step - loss: 0.5991
Epoch 42/150
39/39 [==============================] - 0s 818us/step - loss: 0.5980
Epoch 43/150
39/39 [==============================] - 0s 793us/step - loss: 0.5967
Epoch 44/150
39/39 [==============================] - 0s 844us/step - loss: 0.5967
Epoch 45/150
39/39 [==============================] - 0s 818us/step - loss: 0.5945
Epoch 46/150
39/39 [==============================] - 0s 818us/step - loss: 0.5949
Epoch 47/150
39/39 [==============================] - 0s 793us/step - loss: 0.5945
Epoch 48/150
39/39 [==============================] - 0s 844us/step - loss: 0.5945
Epoch 49/150
39/39 [==============================] - 0s 793us/step - loss: 0.5937
Epoch 50/150
39/39 [==============================] - 0s 793us/step - loss: 0.5928
Epoch 51/150
39/39 [==============================] - 0s 767us/step - loss: 0.5929
Epoch 52/150
39/39 [==============================] - 0s 793us/step - loss: 0.5920
Epoch 53/150
39/39 [==============================] - 0s 742us/step - loss: 0.5898
Epoch 54/150
39/39 [==============================] - 0s 742us/step - loss: 0.5908
Epoch 55/150
39/39 [==============================] - 0s 793us/step - loss: 0.5885
Epoch 56/150
39/39 [==============================] - 0s 742us/step - loss: 0.5894
Epoch 57/150
39/39 [==============================] - 0s 742us/step - loss: 0.5877
Epoch 58/150
39/39 [==============================] - 0s 818us/step - loss: 0.5877
Epoch 59/150
39/39 [==============================] - 0s 793us/step - loss: 0.5865
Epoch 60/150
39/39 [==============================] - 0s 742us/step - loss: 0.5849
Epoch 61/150
39/39 [==============================] - 0s 793us/step - loss: 0.5847
Epoch 62/150
39/39 [==============================] - 0s 767us/step - loss: 0.5857
Epoch 63/150
39/39 [==============================] - 0s 895us/step - loss: 0.5844
Epoch 64/150
39/39 [==============================] - 0s 793us/step - loss: 0.5845
Epoch 65/150
39/39 [==============================] - 0s 767us/step - loss: 0.5835
Epoch 66/150
39/39 [==============================] - 0s 793us/step - loss: 0.5825
Epoch 67/150
39/39 [==============================] - 0s 767us/step - loss: 0.5823
Epoch 68/150
39/39 [==============================] - 0s 767us/step - loss: 0.5816
Epoch 69/150
39/39 [==============================] - 0s 767us/step - loss: 0.5815
Epoch 70/150
39/39 [==============================] - 0s 793us/step - loss: 0.5810
Epoch 71/150
39/39 [==============================] - 0s 767us/step - loss: 0.5806
Epoch 72/150
39/39 [==============================] - 0s 742us/step - loss: 0.5790
Epoch 73/150
39/39 [==============================] - 0s 767us/step - loss: 0.5808
Epoch 74/150
39/39 [==============================] - 0s 793us/step - loss: 0.5770
Epoch 75/150
39/39 [==============================] - 0s 793us/step - loss: 0.5785
Epoch 76/150
39/39 [==============================] - 0s 767us/step - loss: 0.5787
Epoch 77/150
39/39 [==============================] - 0s 844us/step - loss: 0.5778
Epoch 78/150
39/39 [==============================] - 0s 767us/step - loss: 0.5757
Epoch 79/150
39/39 [==============================] - 0s 742us/step - loss: 0.5775
Epoch 80/150
39/39 [==============================] - 0s 818us/step - loss: 0.5766
Epoch 81/150
39/39 [==============================] - 0s 767us/step - loss: 0.5755
Epoch 82/150
39/39 [==============================] - 0s 742us/step - loss: 0.5753
Epoch 83/150
39/39 [==============================] - 0s 767us/step - loss: 0.5743
Epoch 84/150
39/39 [==============================] - 0s 793us/step - loss: 0.5750
Epoch 85/150
39/39 [==============================] - 0s 793us/step - loss: 0.5739
Epoch 86/150
39/39 [==============================] - 0s 818us/step - loss: 0.5733
Epoch 87/150
39/39 [==============================] - 0s 818us/step - loss: 0.5736
Epoch 88/150
39/39 [==============================] - 0s 844us/step - loss: 0.5724
Epoch 89/150
39/39 [==============================] - 0s 767us/step - loss: 0.5721
Epoch 90/150
39/39 [==============================] - 0s 844us/step - loss: 0.5730
Epoch 91/150
39/39 [==============================] - 0s 818us/step - loss: 0.5718
Epoch 92/150
39/39 [==============================] - 0s 844us/step - loss: 0.5713
Epoch 93/150
39/39 [==============================] - 0s 844us/step - loss: 0.5694
Epoch 94/150
39/39 [==============================] - 0s 818us/step - loss: 0.5713
Epoch 95/150
39/39 [==============================] - 0s 793us/step - loss: 0.5702
Epoch 96/150
39/39 [==============================] - 0s 844us/step - loss: 0.5694
Epoch 97/150
39/39 [==============================] - 0s 767us/step - loss: 0.5694
Epoch 98/150
39/39 [==============================] - 0s 818us/step - loss: 0.5693
Epoch 99/150
39/39 [==============================] - 0s 818us/step - loss: 0.5672
Epoch 100/150
39/39 [==============================] - 0s 844us/step - loss: 0.5685
Epoch 101/150
39/39 [==============================] - 0s 844us/step - loss: 0.5673
Epoch 102/150
39/39 [==============================] - ETA: 0s - loss: 0.457 - 0s 818us/step - loss: 0.5667
Epoch 103/150
39/39 [==============================] - 0s 818us/step - loss: 0.5678
Epoch 104/150
39/39 [==============================] - 0s 869us/step - loss: 0.5665
Epoch 105/150
39/39 [==============================] - 0s 793us/step - loss: 0.5668
Epoch 106/150
39/39 [==============================] - 0s 844us/step - loss: 0.5655
Epoch 107/150
39/39 [==============================] - 0s 793us/step - loss: 0.5663
Epoch 108/150
39/39 [==============================] - 0s 742us/step - loss: 0.5653
Epoch 109/150
39/39 [==============================] - 0s 767us/step - loss: 0.5653
Epoch 110/150
39/39 [==============================] - 0s 844us/step - loss: 0.5638
Epoch 111/150
39/39 [==============================] - 0s 793us/step - loss: 0.5653
Epoch 112/150
39/39 [==============================] - 0s 767us/step - loss: 0.5641
Epoch 113/150
39/39 [==============================] - 0s 716us/step - loss: 0.5642
Epoch 114/150
39/39 [==============================] - 0s 767us/step - loss: 0.5628
Epoch 115/150
39/39 [==============================] - 0s 793us/step - loss: 0.5623
Epoch 116/150
39/39 [==============================] - 0s 742us/step - loss: 0.5636
Epoch 117/150
39/39 [==============================] - 0s 742us/step - loss: 0.5610
Epoch 118/150
39/39 [==============================] - 0s 767us/step - loss: 0.5631
Epoch 119/150
39/39 [==============================] - 0s 742us/step - loss: 0.5616
Epoch 120/150
39/39 [==============================] - 0s 818us/step - loss: 0.5606
Epoch 121/150
39/39 [==============================] - 0s 742us/step - loss: 0.5615
Epoch 122/150
39/39 [==============================] - 0s 767us/step - loss: 0.5608
Epoch 123/150
39/39 [==============================] - 0s 793us/step - loss: 0.5609
Epoch 124/150
39/39 [==============================] - 0s 767us/step - loss: 0.5616
Epoch 125/150
39/39 [==============================] - 0s 742us/step - loss: 0.5606
Epoch 126/150
39/39 [==============================] - 0s 793us/step - loss: 0.5592
Epoch 127/150
39/39 [==============================] - 0s 767us/step - loss: 0.5601
Epoch 128/150
39/39 [==============================] - 0s 742us/step - loss: 0.5599
Epoch 129/150
39/39 [==============================] - 0s 793us/step - loss: 0.5594
Epoch 130/150
39/39 [==============================] - 0s 793us/step - loss: 0.5578
Epoch 131/150
39/39 [==============================] - 0s 793us/step - loss: 0.5586
Epoch 132/150
39/39 [==============================] - 0s 742us/step - loss: 0.5586
Epoch 133/150
39/39 [==============================] - 0s 742us/step - loss: 0.5600
Epoch 134/150
39/39 [==============================] - 0s 767us/step - loss: 0.5584
Epoch 135/150
39/39 [==============================] - 0s 767us/step - loss: 0.5560
Epoch 136/150
39/39 [==============================] - 0s 742us/step - loss: 0.5577
Epoch 137/150
39/39 [==============================] - 0s 742us/step - loss: 0.5570
Epoch 138/150
39/39 [==============================] - 0s 767us/step - loss: 0.5567
Epoch 139/150
39/39 [==============================] - 0s 793us/step - loss: 0.5554
Epoch 140/150
39/39 [==============================] - 0s 818us/step - loss: 0.5544
Epoch 141/150
39/39 [==============================] - 0s 793us/step - loss: 0.5556
Epoch 142/150
39/39 [==============================] - 0s 844us/step - loss: 0.5552
Epoch 143/150
39/39 [==============================] - 0s 716us/step - loss: 0.5535
Epoch 144/150
39/39 [==============================] - 0s 818us/step - loss: 0.5558
Epoch 145/150
39/39 [==============================] - 0s 793us/step - loss: 0.5545
Epoch 146/150
39/39 [==============================] - 0s 818us/step - loss: 0.5536
Epoch 147/150
39/39 [==============================] - 0s 844us/step - loss: 0.5533
Epoch 148/150
39/39 [==============================] - 0s 818us/step - loss: 0.5530
Epoch 149/150
39/39 [==============================] - 0s 844us/step - loss: 0.5526
Epoch 150/150
39/39 [==============================] - 0s 844us/step - loss: 0.5523
###################################################################### Accuracy: 75.55458361569532
Epoch 1/150
39/39 [==============================] - 0s 869us/step - loss: 0.9989
Epoch 2/150
39/39 [==============================] - 0s 793us/step - loss: 0.9785
Epoch 3/150
39/39 [==============================] - 0s 921us/step - loss: 0.9334
Epoch 4/150
39/39 [==============================] - 0s 869us/step - loss: 0.8716
Epoch 5/150
39/39 [==============================] - 0s 793us/step - loss: 0.8028
Epoch 6/150
39/39 [==============================] - 0s 818us/step - loss: 0.7375
Epoch 7/150
39/39 [==============================] - 0s 767us/step - loss: 0.6837
Epoch 8/150
39/39 [==============================] - 0s 767us/step - loss: 0.6567
Epoch 9/150
39/39 [==============================] - 0s 716us/step - loss: 0.6470
Epoch 10/150
39/39 [==============================] - 0s 742us/step - loss: 0.6425
Epoch 11/150
39/39 [==============================] - 0s 767us/step - loss: 0.6398
Epoch 12/150
39/39 [==============================] - 0s 742us/step - loss: 0.6372
Epoch 13/150
39/39 [==============================] - 0s 767us/step - loss: 0.6352
Epoch 14/150
39/39 [==============================] - 0s 793us/step - loss: 0.6337
Epoch 15/150
39/39 [==============================] - 0s 742us/step - loss: 0.6317
Epoch 16/150
39/39 [==============================] - 0s 742us/step - loss: 0.6308
Epoch 17/150
39/39 [==============================] - 0s 767us/step - loss: 0.6286
Epoch 18/150
39/39 [==============================] - 0s 793us/step - loss: 0.6281
Epoch 19/150
39/39 [==============================] - 0s 818us/step - loss: 0.6273
Epoch 20/150
39/39 [==============================] - 0s 742us/step - loss: 0.6258
Epoch 21/150
39/39 [==============================] - 0s 742us/step - loss: 0.6217
Epoch 22/150
39/39 [==============================] - 0s 767us/step - loss: 0.6253
Epoch 23/150
39/39 [==============================] - 0s 742us/step - loss: 0.6222
Epoch 24/150
39/39 [==============================] - 0s 793us/step - loss: 0.6217
Epoch 25/150
39/39 [==============================] - 0s 767us/step - loss: 0.6216
Epoch 26/150
39/39 [==============================] - 0s 716us/step - loss: 0.6200
Epoch 27/150
39/39 [==============================] - 0s 793us/step - loss: 0.6197
Epoch 28/150
39/39 [==============================] - 0s 767us/step - loss: 0.6198
Epoch 29/150
39/39 [==============================] - 0s 767us/step - loss: 0.6186
Epoch 30/150
39/39 [==============================] - 0s 818us/step - loss: 0.6163
Epoch 31/150
39/39 [==============================] - 0s 793us/step - loss: 0.6157
Epoch 32/150
39/39 [==============================] - 0s 716us/step - loss: 0.6150
Epoch 33/150
39/39 [==============================] - 0s 818us/step - loss: 0.6132
Epoch 34/150
39/39 [==============================] - 0s 793us/step - loss: 0.6118
Epoch 35/150
39/39 [==============================] - 0s 793us/step - loss: 0.6111
Epoch 36/150
39/39 [==============================] - 0s 716us/step - loss: 0.6103
Epoch 37/150
39/39 [==============================] - 0s 793us/step - loss: 0.6088
Epoch 38/150
39/39 [==============================] - 0s 793us/step - loss: 0.6071
Epoch 39/150
39/39 [==============================] - 0s 793us/step - loss: 0.6060
Epoch 40/150
39/39 [==============================] - 0s 844us/step - loss: 0.6055
Epoch 41/150
39/39 [==============================] - 0s 818us/step - loss: 0.6042
Epoch 42/150
39/39 [==============================] - 0s 818us/step - loss: 0.6041
Epoch 43/150
39/39 [==============================] - 0s 818us/step - loss: 0.6031
Epoch 44/150
39/39 [==============================] - 0s 742us/step - loss: 0.6022
Epoch 45/150
39/39 [==============================] - 0s 818us/step - loss: 0.6021
Epoch 46/150
39/39 [==============================] - 0s 767us/step - loss: 0.5996
Epoch 47/150
39/39 [==============================] - 0s 767us/step - loss: 0.5993
Epoch 48/150
39/39 [==============================] - 0s 793us/step - loss: 0.5977
Epoch 49/150
39/39 [==============================] - 0s 793us/step - loss: 0.5975
Epoch 50/150
39/39 [==============================] - 0s 818us/step - loss: 0.5967
Epoch 51/150
39/39 [==============================] - 0s 767us/step - loss: 0.5948
Epoch 52/150
39/39 [==============================] - 0s 793us/step - loss: 0.5932
Epoch 53/150
39/39 [==============================] - 0s 767us/step - loss: 0.5929
Epoch 54/150
39/39 [==============================] - 0s 818us/step - loss: 0.5911
Epoch 55/150
39/39 [==============================] - 0s 793us/step - loss: 0.5900
Epoch 56/150
39/39 [==============================] - 0s 793us/step - loss: 0.5890
Epoch 57/150
39/39 [==============================] - 0s 742us/step - loss: 0.5882
Epoch 58/150
39/39 [==============================] - 0s 818us/step - loss: 0.5866
Epoch 59/150
39/39 [==============================] - 0s 895us/step - loss: 0.5862
Epoch 60/150
39/39 [==============================] - 0s 818us/step - loss: 0.5852
Epoch 61/150
39/39 [==============================] - 0s 793us/step - loss: 0.5816
Epoch 62/150
39/39 [==============================] - 0s 844us/step - loss: 0.5827
Epoch 63/150
39/39 [==============================] - 0s 818us/step - loss: 0.5825
Epoch 64/150
39/39 [==============================] - 0s 818us/step - loss: 0.5806
Epoch 65/150
39/39 [==============================] - 0s 818us/step - loss: 0.5796
Epoch 66/150
39/39 [==============================] - 0s 818us/step - loss: 0.5777
Epoch 67/150
39/39 [==============================] - 0s 793us/step - loss: 0.5790
Epoch 68/150
39/39 [==============================] - 0s 767us/step - loss: 0.5779
Epoch 69/150
39/39 [==============================] - 0s 818us/step - loss: 0.5773
Epoch 70/150
39/39 [==============================] - 0s 793us/step - loss: 0.5760
Epoch 71/150
39/39 [==============================] - 0s 767us/step - loss: 0.5764
Epoch 72/150
39/39 [==============================] - 0s 844us/step - loss: 0.5752
Epoch 73/150
39/39 [==============================] - 0s 818us/step - loss: 0.5743
Epoch 74/150
39/39 [==============================] - 0s 793us/step - loss: 0.5738
Epoch 75/150
39/39 [==============================] - 0s 818us/step - loss: 0.5727
Epoch 76/150
39/39 [==============================] - 0s 844us/step - loss: 0.5728
Epoch 77/150
39/39 [==============================] - 0s 793us/step - loss: 0.5709
Epoch 78/150
39/39 [==============================] - 0s 742us/step - loss: 0.5702
Epoch 79/150
39/39 [==============================] - 0s 818us/step - loss: 0.5704
Epoch 80/150
39/39 [==============================] - 0s 793us/step - loss: 0.5707
Epoch 81/150
39/39 [==============================] - 0s 818us/step - loss: 0.5690
Epoch 82/150
39/39 [==============================] - 0s 844us/step - loss: 0.5692
Epoch 83/150
39/39 [==============================] - 0s 818us/step - loss: 0.5686
Epoch 84/150
39/39 [==============================] - 0s 818us/step - loss: 0.5673
Epoch 85/150
39/39 [==============================] - 0s 818us/step - loss: 0.5671
Epoch 86/150
39/39 [==============================] - 0s 793us/step - loss: 0.5657
Epoch 87/150
39/39 [==============================] - 0s 818us/step - loss: 0.5658
Epoch 88/150
39/39 [==============================] - 0s 742us/step - loss: 0.5659
Epoch 89/150
39/39 [==============================] - 0s 844us/step - loss: 0.5655
Epoch 90/150
39/39 [==============================] - 0s 767us/step - loss: 0.5658
Epoch 91/150
39/39 [==============================] - 0s 742us/step - loss: 0.5660
Epoch 92/150
39/39 [==============================] - 0s 869us/step - loss: 0.5629
Epoch 93/150
39/39 [==============================] - 0s 767us/step - loss: 0.5637
Epoch 94/150
39/39 [==============================] - 0s 716us/step - loss: 0.5641
Epoch 95/150
39/39 [==============================] - 0s 818us/step - loss: 0.5621
Epoch 96/150
39/39 [==============================] - 0s 767us/step - loss: 0.5624
Epoch 97/150
39/39 [==============================] - 0s 818us/step - loss: 0.5630
Epoch 98/150
39/39 [==============================] - 0s 793us/step - loss: 0.5612
Epoch 99/150
39/39 [==============================] - 0s 793us/step - loss: 0.5597
Epoch 100/150
39/39 [==============================] - 0s 793us/step - loss: 0.5614
Epoch 101/150
39/39 [==============================] - 0s 818us/step - loss: 0.5610
Epoch 102/150
39/39 [==============================] - 0s 818us/step - loss: 0.5607
Epoch 103/150
39/39 [==============================] - 0s 767us/step - loss: 0.5601
Epoch 104/150
39/39 [==============================] - 0s 793us/step - loss: 0.5602
Epoch 105/150
39/39 [==============================] - 0s 844us/step - loss: 0.5602
Epoch 106/150
39/39 [==============================] - 0s 844us/step - loss: 0.5602
Epoch 107/150
39/39 [==============================] - 0s 793us/step - loss: 0.5594
Epoch 108/150
39/39 [==============================] - 0s 767us/step - loss: 0.5595
Epoch 109/150
39/39 [==============================] - 0s 716us/step - loss: 0.5583
Epoch 110/150
39/39 [==============================] - 0s 793us/step - loss: 0.5582
Epoch 111/150
39/39 [==============================] - 0s 767us/step - loss: 0.5580
Epoch 112/150
39/39 [==============================] - 0s 716us/step - loss: 0.5589
Epoch 113/150
39/39 [==============================] - 0s 818us/step - loss: 0.5581
Epoch 114/150
39/39 [==============================] - 0s 793us/step - loss: 0.5572
Epoch 115/150
39/39 [==============================] - 0s 742us/step - loss: 0.5565
Epoch 116/150
39/39 [==============================] - 0s 793us/step - loss: 0.5566
Epoch 117/150
39/39 [==============================] - 0s 818us/step - loss: 0.5565
Epoch 118/150
39/39 [==============================] - 0s 716us/step - loss: 0.5569
Epoch 119/150
39/39 [==============================] - 0s 767us/step - loss: 0.5565
Epoch 120/150
39/39 [==============================] - 0s 793us/step - loss: 0.5553
Epoch 121/150
39/39 [==============================] - 0s 767us/step - loss: 0.5552
Epoch 122/150
39/39 [==============================] - 0s 742us/step - loss: 0.5563
Epoch 123/150
39/39 [==============================] - 0s 767us/step - loss: 0.5551
Epoch 124/150
39/39 [==============================] - 0s 767us/step - loss: 0.5542
Epoch 125/150
39/39 [==============================] - 0s 742us/step - loss: 0.5552
Epoch 126/150
39/39 [==============================] - 0s 793us/step - loss: 0.5541
Epoch 127/150
39/39 [==============================] - 0s 767us/step - loss: 0.5527
Epoch 128/150
39/39 [==============================] - 0s 742us/step - loss: 0.5529
Epoch 129/150
39/39 [==============================] - 0s 869us/step - loss: 0.5537
Epoch 130/150
39/39 [==============================] - 0s 793us/step - loss: 0.5531
Epoch 131/150
39/39 [==============================] - 0s 767us/step - loss: 0.5530
Epoch 132/150
39/39 [==============================] - 0s 818us/step - loss: 0.5529
Epoch 133/150
39/39 [==============================] - 0s 818us/step - loss: 0.5521
Epoch 134/150
39/39 [==============================] - 0s 767us/step - loss: 0.5524
Epoch 135/150
39/39 [==============================] - 0s 793us/step - loss: 0.5522
Epoch 136/150
39/39 [==============================] - 0s 818us/step - loss: 0.5522
Epoch 137/150
39/39 [==============================] - 0s 742us/step - loss: 0.5512
Epoch 138/150
39/39 [==============================] - 0s 818us/step - loss: 0.5513
Epoch 139/150
39/39 [==============================] - 0s 869us/step - loss: 0.5513
Epoch 140/150
39/39 [==============================] - 0s 742us/step - loss: 0.5508
Epoch 141/150
39/39 [==============================] - 0s 818us/step - loss: 0.5510
Epoch 142/150
39/39 [==============================] - 0s 818us/step - loss: 0.5504
Epoch 143/150
39/39 [==============================] - 0s 818us/step - loss: 0.5503
Epoch 144/150
39/39 [==============================] - 0s 793us/step - loss: 0.5497
Epoch 145/150
39/39 [==============================] - 0s 869us/step - loss: 0.5501
Epoch 146/150
39/39 [==============================] - 0s 844us/step - loss: 0.5496
Epoch 147/150
39/39 [==============================] - 0s 818us/step - loss: 0.5490
Epoch 148/150
39/39 [==============================] - 0s 818us/step - loss: 0.5502
Epoch 149/150
39/39 [==============================] - 0s 818us/step - loss: 0.5495
Epoch 150/150
39/39 [==============================] - 0s 767us/step - loss: 0.5478
###################################################################### Accuracy: 74.14695351815946
Epoch 1/10
16/16 [==============================] - 0s 935us/step - loss: 1.0183
Epoch 2/10
16/16 [==============================] - 0s 873us/step - loss: 1.0150
Epoch 3/10
16/16 [==============================] - 0s 935us/step - loss: 1.0089
Epoch 4/10
16/16 [==============================] - 0s 935us/step - loss: 0.9978
Epoch 5/10
16/16 [==============================] - 0s 997us/step - loss: 0.9824
Epoch 6/10
16/16 [==============================] - 0s 935us/step - loss: 0.9628
Epoch 7/10
16/16 [==============================] - 0s 873us/step - loss: 0.9411
Epoch 8/10
16/16 [==============================] - 0s 810us/step - loss: 0.9180
Epoch 9/10
16/16 [==============================] - 0s 810us/step - loss: 0.8959
Epoch 10/10
16/16 [==============================] - 0s 873us/step - loss: 0.8726
###################################################################### Accuracy: 65.4871055929404
Epoch 1/10
 1/16 [>.............................] - ETA: 0s - loss: 0.6947WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
16/16 [==============================] - 0s 1ms/step - loss: 0.9858
Epoch 2/10
16/16 [==============================] - 0s 873us/step - loss: 0.9816
Epoch 3/10
16/16 [==============================] - 0s 935us/step - loss: 0.9736
Epoch 4/10
16/16 [==============================] - 0s 1ms/step - loss: 0.9600
Epoch 5/10
16/16 [==============================] - 0s 903us/step - loss: 0.9410
Epoch 6/10
16/16 [==============================] - 0s 873us/step - loss: 0.9166
Epoch 7/10
16/16 [==============================] - 0s 873us/step - loss: 0.8861
Epoch 8/10
16/16 [==============================] - 0s 873us/step - loss: 0.8543
Epoch 9/10
16/16 [==============================] - 0s 935us/step - loss: 0.8196
Epoch 10/10
16/16 [==============================] - 0s 748us/step - loss: 0.7841
###################################################################### Accuracy: 86.86924929988847
Epoch 1/10
16/16 [==============================] - 0s 997us/step - loss: 0.9764
Epoch 2/10
16/16 [==============================] - 0s 810us/step - loss: 0.9723
Epoch 3/10
16/16 [==============================] - 0s 810us/step - loss: 0.9647
Epoch 4/10
16/16 [==============================] - 0s 935us/step - loss: 0.9522
Epoch 5/10
16/16 [==============================] - 0s 873us/step - loss: 0.9341
Epoch 6/10
16/16 [==============================] - 0s 810us/step - loss: 0.9100
Epoch 7/10
16/16 [==============================] - 0s 935us/step - loss: 0.8821
Epoch 8/10
16/16 [==============================] - 0s 935us/step - loss: 0.8527
Epoch 9/10
16/16 [==============================] - 0s 810us/step - loss: 0.8207
Epoch 10/10
16/16 [==============================] - 0s 873us/step - loss: 0.7890
###################################################################### Accuracy: 94.96247860971485
Epoch 1/10
16/16 [==============================] - 0s 873us/step - loss: 1.0181
Epoch 2/10
16/16 [==============================] - 0s 810us/step - loss: 1.0129
Epoch 3/10
16/16 [==============================] - 0s 935us/step - loss: 1.0037
Epoch 4/10
16/16 [==============================] - 0s 935us/step - loss: 0.9892
Epoch 5/10
16/16 [==============================] - 0s 810us/step - loss: 0.9677
Epoch 6/10
16/16 [==============================] - 0s 810us/step - loss: 0.9367
Epoch 7/10
16/16 [==============================] - 0s 935us/step - loss: 0.9002
Epoch 8/10
16/16 [==============================] - 0s 997us/step - loss: 0.8618
Epoch 9/10
16/16 [==============================] - 0s 810us/step - loss: 0.8200
Epoch 10/10
16/16 [==============================] - 0s 873us/step - loss: 0.7788
###################################################################### Accuracy: 95.8613130615204
Epoch 1/10
16/16 [==============================] - 0s 935us/step - loss: 1.0014
Epoch 2/10
16/16 [==============================] - 0s 873us/step - loss: 0.9974
Epoch 3/10
16/16 [==============================] - 0s 873us/step - loss: 0.9885
Epoch 4/10
16/16 [==============================] - 0s 935us/step - loss: 0.9750
Epoch 5/10
16/16 [==============================] - 0s 873us/step - loss: 0.9578
Epoch 6/10
16/16 [==============================] - 0s 935us/step - loss: 0.9372
Epoch 7/10
16/16 [==============================] - 0s 935us/step - loss: 0.9142
Epoch 8/10
16/16 [==============================] - 0s 873us/step - loss: 0.8903
Epoch 9/10
16/16 [==============================] - 0s 748us/step - loss: 0.8668
Epoch 10/10
16/16 [==============================] - 0s 873us/step - loss: 0.8470
###################################################################### Accuracy: 64.10794918403933
Epoch 1/20
16/16 [==============================] - 0s 934us/step - loss: 1.0176
Epoch 2/20
16/16 [==============================] - 0s 873us/step - loss: 1.0126
Epoch 3/20
16/16 [==============================] - 0s 1ms/step - loss: 1.0035
Epoch 4/20
16/16 [==============================] - 0s 935us/step - loss: 0.9902
Epoch 5/20
16/16 [==============================] - 0s 873us/step - loss: 0.9724
Epoch 6/20
16/16 [==============================] - 0s 873us/step - loss: 0.9504
Epoch 7/20
16/16 [==============================] - 0s 873us/step - loss: 0.9241
Epoch 8/20
16/16 [==============================] - 0s 810us/step - loss: 0.8967
Epoch 9/20
16/16 [==============================] - 0s 810us/step - loss: 0.8653
Epoch 10/20
16/16 [==============================] - 0s 810us/step - loss: 0.8348
Epoch 11/20
16/16 [==============================] - 0s 873us/step - loss: 0.8038
Epoch 12/20
16/16 [==============================] - 0s 810us/step - loss: 0.7755
Epoch 13/20
16/16 [==============================] - 0s 873us/step - loss: 0.7505
Epoch 14/20
16/16 [==============================] - 0s 935us/step - loss: 0.7275
Epoch 15/20
16/16 [==============================] - 0s 810us/step - loss: 0.7057
Epoch 16/20
16/16 [==============================] - 0s 810us/step - loss: 0.6877
Epoch 17/20
16/16 [==============================] - 0s 748us/step - loss: 0.6725
Epoch 18/20
16/16 [==============================] - 0s 810us/step - loss: 0.6619
Epoch 19/20
16/16 [==============================] - 0s 810us/step - loss: 0.6533
Epoch 20/20
16/16 [==============================] - 0s 873us/step - loss: 0.6458
###################################################################### Accuracy: 73.7290525429
Epoch 1/20
 1/16 [>.............................] - ETA: 0s - loss: 0.8934WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
16/16 [==============================] - 0s 998us/step - loss: 0.9863
Epoch 2/20
16/16 [==============================] - 0s 997us/step - loss: 0.9835
Epoch 3/20
16/16 [==============================] - 0s 810us/step - loss: 0.9760
Epoch 4/20
16/16 [==============================] - 0s 810us/step - loss: 0.9622
Epoch 5/20
16/16 [==============================] - 0s 873us/step - loss: 0.9431
Epoch 6/20
16/16 [==============================] - 0s 1ms/step - loss: 0.9213
Epoch 7/20
16/16 [==============================] - 0s 935us/step - loss: 0.8973
Epoch 8/20
16/16 [==============================] - 0s 935us/step - loss: 0.8726
Epoch 9/20
16/16 [==============================] - 0s 873us/step - loss: 0.8444
Epoch 10/20
16/16 [==============================] - 0s 810us/step - loss: 0.8177
Epoch 11/20
16/16 [==============================] - 0s 873us/step - loss: 0.7929
Epoch 12/20
16/16 [==============================] - 0s 810us/step - loss: 0.7709
Epoch 13/20
16/16 [==============================] - 0s 935us/step - loss: 0.7515
Epoch 14/20
16/16 [==============================] - 0s 810us/step - loss: 0.7339
Epoch 15/20
16/16 [==============================] - 0s 810us/step - loss: 0.7177
Epoch 16/20
16/16 [==============================] - 0s 810us/step - loss: 0.7052
Epoch 17/20
16/16 [==============================] - 0s 810us/step - loss: 0.6926
Epoch 18/20
16/16 [==============================] - 0s 810us/step - loss: 0.6820
Epoch 19/20
16/16 [==============================] - 0s 748us/step - loss: 0.6733
Epoch 20/20
16/16 [==============================] - 0s 873us/step - loss: 0.6638
###################################################################### Accuracy: 80.31812069479376
Epoch 1/20
16/16 [==============================] - 0s 873us/step - loss: 0.9754
Epoch 2/20
16/16 [==============================] - 0s 873us/step - loss: 0.9717
Epoch 3/20
16/16 [==============================] - 0s 873us/step - loss: 0.9654
Epoch 4/20
16/16 [==============================] - 0s 873us/step - loss: 0.9536
Epoch 5/20
16/16 [==============================] - 0s 873us/step - loss: 0.9372
Epoch 6/20
16/16 [==============================] - 0s 810us/step - loss: 0.9173
Epoch 7/20
16/16 [==============================] - 0s 997us/step - loss: 0.8938
Epoch 8/20
16/16 [==============================] - 0s 935us/step - loss: 0.8666
Epoch 9/20
16/16 [==============================] - 0s 935us/step - loss: 0.8393
Epoch 10/20
16/16 [==============================] - 0s 935us/step - loss: 0.8103
Epoch 11/20
16/16 [==============================] - 0s 810us/step - loss: 0.7874
Epoch 12/20
16/16 [==============================] - 0s 873us/step - loss: 0.7674
Epoch 13/20
16/16 [==============================] - 0s 997us/step - loss: 0.7517
Epoch 14/20
16/16 [==============================] - 0s 873us/step - loss: 0.7407
Epoch 15/20
16/16 [==============================] - 0s 873us/step - loss: 0.7322
Epoch 16/20
16/16 [==============================] - 0s 873us/step - loss: 0.7253
Epoch 17/20
16/16 [==============================] - 0s 810us/step - loss: 0.7193
Epoch 18/20
16/16 [==============================] - 0s 873us/step - loss: 0.7127
Epoch 19/20
16/16 [==============================] - 0s 873us/step - loss: 0.7065
Epoch 20/20
16/16 [==============================] - 0s 810us/step - loss: 0.7008
###################################################################### Accuracy: 115.1507275231086
Epoch 1/20
16/16 [==============================] - 0s 935us/step - loss: 1.0177
Epoch 2/20
16/16 [==============================] - 0s 935us/step - loss: 1.0130
Epoch 3/20
16/16 [==============================] - 0s 873us/step - loss: 1.0063
Epoch 4/20
16/16 [==============================] - 0s 935us/step - loss: 0.9962
Epoch 5/20
16/16 [==============================] - 0s 935us/step - loss: 0.9827
Epoch 6/20
16/16 [==============================] - 0s 873us/step - loss: 0.9641
Epoch 7/20
16/16 [==============================] - 0s 873us/step - loss: 0.9402
Epoch 8/20
16/16 [==============================] - 0s 873us/step - loss: 0.9118
Epoch 9/20
16/16 [==============================] - 0s 810us/step - loss: 0.8800
Epoch 10/20
16/16 [==============================] - 0s 873us/step - loss: 0.8468
Epoch 11/20
16/16 [==============================] - 0s 873us/step - loss: 0.8138
Epoch 12/20
16/16 [==============================] - 0s 873us/step - loss: 0.7792
Epoch 13/20
16/16 [==============================] - 0s 873us/step - loss: 0.7488
Epoch 14/20
16/16 [==============================] - 0s 810us/step - loss: 0.7215
Epoch 15/20
16/16 [==============================] - 0s 873us/step - loss: 0.6990
Epoch 16/20
16/16 [==============================] - 0s 810us/step - loss: 0.6828
Epoch 17/20
16/16 [==============================] - 0s 748us/step - loss: 0.6708
Epoch 18/20
16/16 [==============================] - 0s 873us/step - loss: 0.6625
Epoch 19/20
16/16 [==============================] - 0s 810us/step - loss: 0.6582
Epoch 20/20
16/16 [==============================] - 0s 810us/step - loss: 0.6561
###################################################################### Accuracy: 76.01466606285636
Epoch 1/20
16/16 [==============================] - 0s 873us/step - loss: 1.0016
Epoch 2/20
16/16 [==============================] - 0s 873us/step - loss: 0.9980
Epoch 3/20
16/16 [==============================] - 0s 935us/step - loss: 0.9904
Epoch 4/20
16/16 [==============================] - 0s 935us/step - loss: 0.9786
Epoch 5/20
16/16 [==============================] - 0s 873us/step - loss: 0.9616
Epoch 6/20
16/16 [==============================] - 0s 935us/step - loss: 0.9405
Epoch 7/20
16/16 [==============================] - 0s 873us/step - loss: 0.9154
Epoch 8/20
16/16 [==============================] - 0s 873us/step - loss: 0.8841
Epoch 9/20
16/16 [==============================] - 0s 810us/step - loss: 0.8478
Epoch 10/20
16/16 [==============================] - 0s 873us/step - loss: 0.8122
Epoch 11/20
16/16 [==============================] - 0s 873us/step - loss: 0.7778
Epoch 12/20
16/16 [==============================] - 0s 810us/step - loss: 0.7416
Epoch 13/20
16/16 [==============================] - 0s 873us/step - loss: 0.7099
Epoch 14/20
16/16 [==============================] - 0s 748us/step - loss: 0.6845
Epoch 15/20
16/16 [==============================] - 0s 935us/step - loss: 0.6652
Epoch 16/20
16/16 [==============================] - 0s 810us/step - loss: 0.6525
Epoch 17/20
16/16 [==============================] - 0s 810us/step - loss: 0.6448
Epoch 18/20
16/16 [==============================] - 0s 935us/step - loss: 0.6401
Epoch 19/20
16/16 [==============================] - 0s 935us/step - loss: 0.6360
Epoch 20/20
16/16 [==============================] - 0s 810us/step - loss: 0.6335
###################################################################### Accuracy: 76.74626166298569
Epoch 1/50
 1/16 [>.............................] - ETA: 0s - loss: 1.0129WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
16/16 [==============================] - 0s 1ms/step - loss: 1.0165
Epoch 2/50
16/16 [==============================] - 0s 935us/step - loss: 1.0073
Epoch 3/50
16/16 [==============================] - 0s 935us/step - loss: 0.9904
Epoch 4/50
16/16 [==============================] - 0s 935us/step - loss: 0.9661
Epoch 5/50
16/16 [==============================] - 0s 873us/step - loss: 0.9336
Epoch 6/50
16/16 [==============================] - 0s 873us/step - loss: 0.8949
Epoch 7/50
16/16 [==============================] - 0s 873us/step - loss: 0.8550
Epoch 8/50
16/16 [==============================] - 0s 873us/step - loss: 0.8131
Epoch 9/50
16/16 [==============================] - 0s 873us/step - loss: 0.7739
Epoch 10/50
16/16 [==============================] - 0s 810us/step - loss: 0.7396
Epoch 11/50
16/16 [==============================] - 0s 810us/step - loss: 0.7083
Epoch 12/50
16/16 [==============================] - 0s 873us/step - loss: 0.6853
Epoch 13/50
16/16 [==============================] - 0s 810us/step - loss: 0.6665
Epoch 14/50
16/16 [==============================] - 0s 873us/step - loss: 0.6556
Epoch 15/50
16/16 [==============================] - 0s 810us/step - loss: 0.6487
Epoch 16/50
16/16 [==============================] - 0s 810us/step - loss: 0.6433
Epoch 17/50
16/16 [==============================] - 0s 810us/step - loss: 0.6393
Epoch 18/50
16/16 [==============================] - 0s 810us/step - loss: 0.6358
Epoch 19/50
16/16 [==============================] - 0s 935us/step - loss: 0.6342
Epoch 20/50
16/16 [==============================] - 0s 810us/step - loss: 0.6306
Epoch 21/50
16/16 [==============================] - 0s 873us/step - loss: 0.6281
Epoch 22/50
16/16 [==============================] - 0s 810us/step - loss: 0.6259
Epoch 23/50
16/16 [==============================] - 0s 935us/step - loss: 0.6243
Epoch 24/50
16/16 [==============================] - 0s 810us/step - loss: 0.6225
Epoch 25/50
16/16 [==============================] - 0s 873us/step - loss: 0.6197
Epoch 26/50
16/16 [==============================] - 0s 810us/step - loss: 0.6186
Epoch 27/50
16/16 [==============================] - 0s 873us/step - loss: 0.6164
Epoch 28/50
16/16 [==============================] - 0s 873us/step - loss: 0.6153
Epoch 29/50
16/16 [==============================] - 0s 873us/step - loss: 0.6128
Epoch 30/50
16/16 [==============================] - 0s 810us/step - loss: 0.6109
Epoch 31/50
16/16 [==============================] - 0s 935us/step - loss: 0.6087
Epoch 32/50
16/16 [==============================] - 0s 810us/step - loss: 0.6073
Epoch 33/50
16/16 [==============================] - 0s 810us/step - loss: 0.6060
Epoch 34/50
16/16 [==============================] - 0s 873us/step - loss: 0.6045
Epoch 35/50
16/16 [==============================] - 0s 748us/step - loss: 0.6019
Epoch 36/50
16/16 [==============================] - 0s 935us/step - loss: 0.6012
Epoch 37/50
16/16 [==============================] - 0s 810us/step - loss: 0.5994
Epoch 38/50
16/16 [==============================] - 0s 935us/step - loss: 0.5984
Epoch 39/50
16/16 [==============================] - 0s 935us/step - loss: 0.5986
Epoch 40/50
16/16 [==============================] - 0s 810us/step - loss: 0.5960
Epoch 41/50
16/16 [==============================] - 0s 810us/step - loss: 0.5955
Epoch 42/50
16/16 [==============================] - 0s 997us/step - loss: 0.5940
Epoch 43/50
16/16 [==============================] - 0s 810us/step - loss: 0.5933
Epoch 44/50
16/16 [==============================] - 0s 873us/step - loss: 0.5912
Epoch 45/50
16/16 [==============================] - 0s 935us/step - loss: 0.5904
Epoch 46/50
16/16 [==============================] - 0s 873us/step - loss: 0.5886
Epoch 47/50
16/16 [==============================] - 0s 873us/step - loss: 0.5874
Epoch 48/50
16/16 [==============================] - 0s 935us/step - loss: 0.5874
Epoch 49/50
16/16 [==============================] - 0s 748us/step - loss: 0.5861
Epoch 50/50
16/16 [==============================] - 0s 873us/step - loss: 0.5843
###################################################################### Accuracy: 69.34802417897706
Epoch 1/50
16/16 [==============================] - 0s 934us/step - loss: 0.9848
Epoch 2/50
16/16 [==============================] - 0s 873us/step - loss: 0.9795
Epoch 3/50
16/16 [==============================] - 0s 873us/step - loss: 0.9683
Epoch 4/50
16/16 [==============================] - 0s 997us/step - loss: 0.9497
Epoch 5/50
16/16 [==============================] - 0s 935us/step - loss: 0.9249
Epoch 6/50
16/16 [==============================] - 0s 810us/step - loss: 0.8949
Epoch 7/50
16/16 [==============================] - 0s 935us/step - loss: 0.8585
Epoch 8/50
16/16 [==============================] - 0s 935us/step - loss: 0.8208
Epoch 9/50
16/16 [==============================] - 0s 810us/step - loss: 0.7826
Epoch 10/50
16/16 [==============================] - 0s 873us/step - loss: 0.7452
Epoch 11/50
16/16 [==============================] - 0s 810us/step - loss: 0.7154
Epoch 12/50
16/16 [==============================] - 0s 873us/step - loss: 0.6910
Epoch 13/50
16/16 [==============================] - 0s 935us/step - loss: 0.6713
Epoch 14/50
16/16 [==============================] - 0s 810us/step - loss: 0.6610
Epoch 15/50
16/16 [==============================] - 0s 873us/step - loss: 0.6527
Epoch 16/50
16/16 [==============================] - 0s 748us/step - loss: 0.6444
Epoch 17/50
16/16 [==============================] - 0s 873us/step - loss: 0.6409
Epoch 18/50
16/16 [==============================] - 0s 873us/step - loss: 0.6367
Epoch 19/50
16/16 [==============================] - 0s 748us/step - loss: 0.6344
Epoch 20/50
16/16 [==============================] - 0s 810us/step - loss: 0.6321
Epoch 21/50
16/16 [==============================] - 0s 873us/step - loss: 0.6301
Epoch 22/50
16/16 [==============================] - 0s 810us/step - loss: 0.6276
Epoch 23/50
16/16 [==============================] - 0s 873us/step - loss: 0.6266
Epoch 24/50
16/16 [==============================] - 0s 873us/step - loss: 0.6248
Epoch 25/50
16/16 [==============================] - 0s 873us/step - loss: 0.6223
Epoch 26/50
16/16 [==============================] - 0s 873us/step - loss: 0.6206
Epoch 27/50
16/16 [==============================] - 0s 935us/step - loss: 0.6188
Epoch 28/50
16/16 [==============================] - 0s 873us/step - loss: 0.6174
Epoch 29/50
16/16 [==============================] - 0s 873us/step - loss: 0.6157
Epoch 30/50
16/16 [==============================] - 0s 873us/step - loss: 0.6134
Epoch 31/50
16/16 [==============================] - 0s 873us/step - loss: 0.6122
Epoch 32/50
16/16 [==============================] - 0s 873us/step - loss: 0.6104
Epoch 33/50
16/16 [==============================] - 0s 810us/step - loss: 0.6092
Epoch 34/50
16/16 [==============================] - 0s 873us/step - loss: 0.6076
Epoch 35/50
16/16 [==============================] - 0s 873us/step - loss: 0.6068
Epoch 36/50
16/16 [==============================] - 0s 810us/step - loss: 0.6041
Epoch 37/50
16/16 [==============================] - 0s 810us/step - loss: 0.6026
Epoch 38/50
16/16 [==============================] - 0s 873us/step - loss: 0.6019
Epoch 39/50
16/16 [==============================] - 0s 873us/step - loss: 0.6002
Epoch 40/50
16/16 [==============================] - 0s 873us/step - loss: 0.5997
Epoch 41/50
16/16 [==============================] - 0s 810us/step - loss: 0.5978
Epoch 42/50
16/16 [==============================] - 0s 935us/step - loss: 0.5963
Epoch 43/50
16/16 [==============================] - 0s 873us/step - loss: 0.5951
Epoch 44/50
16/16 [==============================] - 0s 748us/step - loss: 0.5951
Epoch 45/50
16/16 [==============================] - 0s 810us/step - loss: 0.5934
Epoch 46/50
16/16 [==============================] - 0s 873us/step - loss: 0.5917
Epoch 47/50
16/16 [==============================] - 0s 935us/step - loss: 0.5910
Epoch 48/50
16/16 [==============================] - 0s 810us/step - loss: 0.5904
Epoch 49/50
16/16 [==============================] - 0s 810us/step - loss: 0.5886
Epoch 50/50
16/16 [==============================] - 0s 873us/step - loss: 0.5877
###################################################################### Accuracy: 72.08451767109112
Epoch 1/50
 1/16 [>.............................] - ETA: 0s - loss: 0.5988WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks.
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
16/16 [==============================] - 0s 935us/step - loss: 0.9749
Epoch 2/50
16/16 [==============================] - 0s 782us/step - loss: 0.9684
Epoch 3/50
16/16 [==============================] - 0s 686us/step - loss: 0.9574
Epoch 4/50
16/16 [==============================] - 0s 810us/step - loss: 0.9415
Epoch 5/50
16/16 [==============================] - 0s 748us/step - loss: 0.9203
Epoch 6/50
16/16 [==============================] - 0s 748us/step - loss: 0.8924
Epoch 7/50
16/16 [==============================] - 0s 810us/step - loss: 0.8601
Epoch 8/50
16/16 [==============================] - 0s 686us/step - loss: 0.8245
Epoch 9/50
16/16 [==============================] - 0s 748us/step - loss: 0.7872
Epoch 10/50
16/16 [==============================] - 0s 686us/step - loss: 0.7498
Epoch 11/50
16/16 [==============================] - 0s 686us/step - loss: 0.7156
Epoch 12/50
16/16 [==============================] - 0s 686us/step - loss: 0.6876
Epoch 13/50
16/16 [==============================] - 0s 686us/step - loss: 0.6654
Epoch 14/50
16/16 [==============================] - 0s 685us/step - loss: 0.6491
Epoch 15/50
16/16 [==============================] - 0s 686us/step - loss: 0.6382
Epoch 16/50
16/16 [==============================] - 0s 686us/step - loss: 0.6297
Epoch 17/50
16/16 [==============================] - 0s 748us/step - loss: 0.6244
Epoch 18/50
16/16 [==============================] - 0s 686us/step - loss: 0.6204
Epoch 19/50
16/16 [==============================] - 0s 748us/step - loss: 0.6183
Epoch 20/50
16/16 [==============================] - 0s 686us/step - loss: 0.6161
Epoch 21/50
16/16 [==============================] - 0s 873us/step - loss: 0.6138
Epoch 22/50
16/16 [==============================] - 0s 935us/step - loss: 0.6125
Epoch 23/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6103
Epoch 24/50
16/16 [==============================] - 0s 873us/step - loss: 0.6092
Epoch 25/50
16/16 [==============================] - 0s 873us/step - loss: 0.6068
Epoch 26/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6056
Epoch 27/50
16/16 [==============================] - 0s 935us/step - loss: 0.6044
Epoch 28/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6028
Epoch 29/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6020
Epoch 30/50
16/16 [==============================] - 0s 1ms/step - loss: 0.6003
Epoch 31/50
16/16 [==============================] - 0s 1ms/step - loss: 0.5993
Epoch 32/50
16/16 [==============================] - 0s 1ms/step - loss: 0.5977
Epoch 33/50
16/16 [==============================] - 0s 1ms/step - loss: 0.5963
Epoch 34/50
16/16 [==============================] - 0s 935us/step - loss: 0.5949
Epoch 35/50
16/16 [==============================] - 0s 810us/step - loss: 0.5942
Epoch 36/50
16/16 [==============================] - 0s 997us/step - loss: 0.5923
Epoch 37/50
16/16 [==============================] - 0s 935us/step - loss: 0.5917
Epoch 38/50
16/16 [==============================] - 0s 997us/step - loss: 0.5911
Epoch 39/50
16/16 [==============================] - 0s 935us/step - loss: 0.5894
Epoch 40/50
16/16 [==============================] - 0s 873us/step - loss: 0.5890
Epoch 41/50
16/16 [==============================] - 0s 810us/step - loss: 0.5878
Epoch 42/50
16/16 [==============================] - 0s 810us/step - loss: 0.5868
Epoch 43/50
16/16 [==============================] - 0s 873us/step - loss: 0.5853
Epoch 44/50
16/16 [==============================] - 0s 873us/step - loss: 0.5850
Epoch 45/50
16/16 [==============================] - 0s 935us/step - loss: 0.5842
Epoch 46/50
16/16 [==============================] - 0s 810us/step - loss: 0.5831
Epoch 47/50
16/16 [==============================] - 0s 873us/step - loss: 0.5827
Epoch 48/50
16/16 [==============================] - 0s 810us/step - loss: 0.5821
Epoch 49/50
16/16 [==============================] - 0s 873us/step - loss: 0.5810
Epoch 50/50
16/16 [==============================] - 0s 873us/step - loss: 0.5807
###################################################################### Accuracy: 89.44810530867106
Epoch 1/50
16/16 [==============================] - 0s 935us/step - loss: 1.0174
Epoch 2/50
16/16 [==============================] - 0s 935us/step - loss: 1.0128
Epoch 3/50
16/16 [==============================] - 0s 873us/step - loss: 1.0042
Epoch 4/50
16/16 [==============================] - 0s 810us/step - loss: 0.9877
Epoch 5/50
16/16 [==============================] - 0s 935us/step - loss: 0.9647
Epoch 6/50
16/16 [==============================] - 0s 810us/step - loss: 0.9346
Epoch 7/50
16/16 [==============================] - 0s 935us/step - loss: 0.9002
Epoch 8/50
16/16 [==============================] - 0s 935us/step - loss: 0.8631
Epoch 9/50
16/16 [==============================] - 0s 873us/step - loss: 0.8264
Epoch 10/50
16/16 [==============================] - 0s 810us/step - loss: 0.7931
Epoch 11/50
16/16 [==============================] - 0s 873us/step - loss: 0.7615
Epoch 12/50
16/16 [==============================] - 0s 997us/step - loss: 0.7364
Epoch 13/50
16/16 [==============================] - 0s 873us/step - loss: 0.7179
Epoch 14/50
16/16 [==============================] - 0s 810us/step - loss: 0.7018
Epoch 15/50
16/16 [==============================] - 0s 810us/step - loss: 0.6896
Epoch 16/50
16/16 [==============================] - 0s 810us/step - loss: 0.6794
Epoch 17/50
16/16 [==============================] - 0s 810us/step - loss: 0.6707
Epoch 18/50
16/16 [==============================] - 0s 873us/step - loss: 0.6647
Epoch 19/50
16/16 [==============================] - 0s 873us/step - loss: 0.6593
Epoch 20/50
16/16 [==============================] - 0s 935us/step - loss: 0.6556
Epoch 21/50
16/16 [==============================] - 0s 873us/step - loss: 0.6516
Epoch 22/50
16/16 [==============================] - 0s 873us/step - loss: 0.6491
Epoch 23/50
16/16 [==============================] - 0s 873us/step - loss: 0.6480
Epoch 24/50
16/16 [==============================] - 0s 935us/step - loss: 0.6461
Epoch 25/50
16/16 [==============================] - 0s 873us/step - loss: 0.6451
Epoch 26/50
16/16 [==============================] - 0s 810us/step - loss: 0.6434
Epoch 27/50
16/16 [==============================] - 0s 873us/step - loss: 0.6429
Epoch 28/50
16/16 [==============================] - 0s 873us/step - loss: 0.6414
Epoch 29/50
16/16 [==============================] - 0s 935us/step - loss: 0.6407
Epoch 30/50
16/16 [==============================] - 0s 873us/step - loss: 0.6404
Epoch 31/50
16/16 [==============================] - 0s 748us/step - loss: 0.6387
Epoch 32/50
16/16 [==============================] - 0s 935us/step - loss: 0.6391
Epoch 33/50
16/16 [==============================] - 0s 873us/step - loss: 0.6377
Epoch 34/50
16/16 [==============================] - 0s 810us/step - loss: 0.6377
Epoch 35/50
16/16 [==============================] - 0s 935us/step - loss: 0.6372
Epoch 36/50
16/16 [==============================] - 0s 873us/step - loss: 0.6366
Epoch 37/50
16/16 [==============================] - 0s 935us/step - loss: 0.6356
Epoch 38/50
16/16 [==============================] - 0s 810us/step - loss: 0.6354
Epoch 39/50
16/16 [==============================] - 0s 810us/step - loss: 0.6347
Epoch 40/50
16/16 [==============================] - 0s 873us/step - loss: 0.6355
Epoch 41/50
16/16 [==============================] - 0s 810us/step - loss: 0.6340
Epoch 42/50
16/16 [==============================] - 0s 935us/step - loss: 0.6339
Epoch 43/50
16/16 [==============================] - 0s 873us/step - loss: 0.6332
Epoch 44/50
16/16 [==============================] - 0s 873us/step - loss: 0.6333
Epoch 45/50
16/16 [==============================] - 0s 810us/step - loss: 0.6326
Epoch 46/50
16/16 [==============================] - 0s 873us/step - loss: 0.6321
Epoch 47/50
16/16 [==============================] - 0s 873us/step - loss: 0.6323
Epoch 48/50
16/16 [==============================] - 0s 873us/step - loss: 0.6320
Epoch 49/50
16/16 [==============================] - 0s 873us/step - loss: 0.6316
Epoch 50/50
16/16 [==============================] - 0s 873us/step - loss: 0.6310
###################################################################### Accuracy: 74.09780402705243
Epoch 1/50
16/16 [==============================] - 0s 935us/step - loss: 1.0002
Epoch 2/50
16/16 [==============================] - 0s 935us/step - loss: 0.9939
Epoch 3/50
16/16 [==============================] - 0s 748us/step - loss: 0.9829
Epoch 4/50
16/16 [==============================] - 0s 935us/step - loss: 0.9678
Epoch 5/50
16/16 [==============================] - 0s 935us/step - loss: 0.9476
Epoch 6/50
16/16 [==============================] - 0s 873us/step - loss: 0.9213
Epoch 7/50
16/16 [==============================] - 0s 810us/step - loss: 0.8928
Epoch 8/50
16/16 [==============================] - 0s 810us/step - loss: 0.8598
Epoch 9/50
16/16 [==============================] - 0s 935us/step - loss: 0.8227
Epoch 10/50
16/16 [==============================] - 0s 873us/step - loss: 0.7878
Epoch 11/50
16/16 [==============================] - 0s 873us/step - loss: 0.7536
Epoch 12/50
16/16 [==============================] - 0s 811us/step - loss: 0.7233
Epoch 13/50
16/16 [==============================] - 0s 873us/step - loss: 0.6958
Epoch 14/50
16/16 [==============================] - 0s 935us/step - loss: 0.6748
Epoch 15/50
16/16 [==============================] - 0s 873us/step - loss: 0.6590
Epoch 16/50
16/16 [==============================] - 0s 810us/step - loss: 0.6491
Epoch 17/50
16/16 [==============================] - 0s 873us/step - loss: 0.6423
Epoch 18/50
16/16 [==============================] - 0s 935us/step - loss: 0.6371
Epoch 19/50
16/16 [==============================] - 0s 810us/step - loss: 0.6339
Epoch 20/50
16/16 [==============================] - 0s 873us/step - loss: 0.6307
Epoch 21/50
16/16 [==============================] - 0s 935us/step - loss: 0.6281
Epoch 22/50
16/16 [==============================] - 0s 873us/step - loss: 0.6265
Epoch 23/50
16/16 [==============================] - 0s 873us/step - loss: 0.6239
Epoch 24/50
16/16 [==============================] - 0s 935us/step - loss: 0.6221
Epoch 25/50
16/16 [==============================] - 0s 935us/step - loss: 0.6204
Epoch 26/50
16/16 [==============================] - 0s 873us/step - loss: 0.6191
Epoch 27/50
16/16 [==============================] - 0s 873us/step - loss: 0.6170
Epoch 28/50
16/16 [==============================] - 0s 810us/step - loss: 0.6153
Epoch 29/50
16/16 [==============================] - 0s 873us/step - loss: 0.6135
Epoch 30/50
16/16 [==============================] - 0s 935us/step - loss: 0.6121
Epoch 31/50
16/16 [==============================] - 0s 873us/step - loss: 0.6104
Epoch 32/50
16/16 [==============================] - 0s 873us/step - loss: 0.6090
Epoch 33/50
16/16 [==============================] - 0s 873us/step - loss: 0.6070
Epoch 34/50
16/16 [==============================] - 0s 997us/step - loss: 0.6053
Epoch 35/50
16/16 [==============================] - 0s 997us/step - loss: 0.6042
Epoch 36/50
16/16 [==============================] - 0s 935us/step - loss: 0.6024
Epoch 37/50
16/16 [==============================] - 0s 935us/step - loss: 0.6008
Epoch 38/50
16/16 [==============================] - 0s 873us/step - loss: 0.5995
Epoch 39/50
16/16 [==============================] - 0s 873us/step - loss: 0.5985
Epoch 40/50
16/16 [==============================] - 0s 873us/step - loss: 0.5964
Epoch 41/50
16/16 [==============================] - 0s 873us/step - loss: 0.5953
Epoch 42/50
16/16 [==============================] - 0s 810us/step - loss: 0.5935
Epoch 43/50
16/16 [==============================] - 0s 873us/step - loss: 0.5920
Epoch 44/50
16/16 [==============================] - 0s 873us/step - loss: 0.5908
Epoch 45/50
16/16 [==============================] - 0s 810us/step - loss: 0.5897
Epoch 46/50
16/16 [==============================] - 0s 873us/step - loss: 0.5889
Epoch 47/50
16/16 [==============================] - ETA: 0s - loss: 0.542 - 0s 873us/step - loss: 0.5877
Epoch 48/50
16/16 [==============================] - 0s 873us/step - loss: 0.5863
Epoch 49/50
16/16 [==============================] - 0s 873us/step - loss: 0.5861
Epoch 50/50
16/16 [==============================] - 0s 873us/step - loss: 0.5840
###################################################################### Accuracy: 73.09737614828903
Epoch 1/100
16/16 [==============================] - 0s 935us/step - loss: 1.0175
Epoch 2/100
16/16 [==============================] - 0s 873us/step - loss: 1.0100
Epoch 3/100
16/16 [==============================] - 0s 810us/step - loss: 0.9971
Epoch 4/100
16/16 [==============================] - 0s 935us/step - loss: 0.9771
Epoch 5/100
16/16 [==============================] - 0s 810us/step - loss: 0.9510
Epoch 6/100
16/16 [==============================] - 0s 873us/step - loss: 0.9197
Epoch 7/100
16/16 [==============================] - 0s 873us/step - loss: 0.8856
Epoch 8/100
16/16 [==============================] - 0s 935us/step - loss: 0.8477
Epoch 9/100
16/16 [==============================] - 0s 810us/step - loss: 0.8098
Epoch 10/100
16/16 [==============================] - 0s 935us/step - loss: 0.7759
Epoch 11/100
16/16 [==============================] - 0s 873us/step - loss: 0.7481
Epoch 12/100
16/16 [==============================] - 0s 810us/step - loss: 0.7203
Epoch 13/100
16/16 [==============================] - 0s 810us/step - loss: 0.6971
Epoch 14/100
16/16 [==============================] - 0s 873us/step - loss: 0.6785
Epoch 15/100
16/16 [==============================] - 0s 810us/step - loss: 0.6641
Epoch 16/100
16/16 [==============================] - 0s 810us/step - loss: 0.6532
Epoch 17/100
16/16 [==============================] - 0s 810us/step - loss: 0.6453
Epoch 18/100
16/16 [==============================] - 0s 810us/step - loss: 0.6394
Epoch 19/100
16/16 [==============================] - 0s 935us/step - loss: 0.6349
Epoch 20/100
16/16 [==============================] - 0s 810us/step - loss: 0.6321
Epoch 21/100
16/16 [==============================] - 0s 810us/step - loss: 0.6294
Epoch 22/100
16/16 [==============================] - 0s 810us/step - loss: 0.6264
Epoch 23/100
16/16 [==============================] - 0s 935us/step - loss: 0.6244
Epoch 24/100
16/16 [==============================] - 0s 810us/step - loss: 0.6235
Epoch 25/100
16/16 [==============================] - 0s 873us/step - loss: 0.6212
Epoch 26/100
16/16 [==============================] - 0s 873us/step - loss: 0.6204
Epoch 27/100
16/16 [==============================] - 0s 810us/step - loss: 0.6182
Epoch 28/100
16/16 [==============================] - 0s 873us/step - loss: 0.6167
Epoch 29/100
16/16 [==============================] - 0s 873us/step - loss: 0.6148
Epoch 30/100
16/16 [==============================] - 0s 873us/step - loss: 0.6143
Epoch 31/100
16/16 [==============================] - 0s 810us/step - loss: 0.6119
Epoch 32/100
16/16 [==============================] - 0s 873us/step - loss: 0.6101
Epoch 33/100
16/16 [==============================] - 0s 873us/step - loss: 0.6088
Epoch 34/100
16/16 [==============================] - 0s 997us/step - loss: 0.6073
Epoch 35/100
16/16 [==============================] - 0s 873us/step - loss: 0.6060
Epoch 36/100
16/16 [==============================] - 0s 873us/step - loss: 0.6045
Epoch 37/100
16/16 [==============================] - 0s 935us/step - loss: 0.6030
Epoch 38/100
16/16 [==============================] - 0s 873us/step - loss: 0.6022
Epoch 39/100
16/16 [==============================] - 0s 810us/step - loss: 0.6009
Epoch 40/100
16/16 [==============================] - 0s 935us/step - loss: 0.5995
Epoch 41/100
16/16 [==============================] - 0s 810us/step - loss: 0.5980
Epoch 42/100
16/16 [==============================] - 0s 810us/step - loss: 0.5966
Epoch 43/100
16/16 [==============================] - 0s 935us/step - loss: 0.5958
Epoch 44/100
16/16 [==============================] - 0s 873us/step - loss: 0.5949
Epoch 45/100
16/16 [==============================] - 0s 810us/step - loss: 0.5949
Epoch 46/100
16/16 [==============================] - 0s 935us/step - loss: 0.5928
Epoch 47/100
16/16 [==============================] - ETA: 0s - loss: 0.733 - 0s 873us/step - loss: 0.5914
Epoch 48/100
16/16 [==============================] - 0s 810us/step - loss: 0.5904
Epoch 49/100
16/16 [==============================] - 0s 873us/step - loss: 0.5889
Epoch 50/100
16/16 [==============================] - 0s 810us/step - loss: 0.5883
Epoch 51/100
16/16 [==============================] - 0s 873us/step - loss: 0.5872
Epoch 52/100
16/16 [==============================] - 0s 810us/step - loss: 0.5863
Epoch 53/100
16/16 [==============================] - 0s 873us/step - loss: 0.5852
Epoch 54/100
16/16 [==============================] - 0s 810us/step - loss: 0.5836
Epoch 55/100
16/16 [==============================] - 0s 935us/step - loss: 0.5836
Epoch 56/100
16/16 [==============================] - 0s 873us/step - loss: 0.5815
Epoch 57/100
16/16 [==============================] - 0s 810us/step - loss: 0.5814
Epoch 58/100
16/16 [==============================] - 0s 873us/step - loss: 0.5805
Epoch 59/100
16/16 [==============================] - 0s 748us/step - loss: 0.5793
Epoch 60/100
16/16 [==============================] - 0s 810us/step - loss: 0.5786
Epoch 61/100
16/16 [==============================] - 0s 810us/step - loss: 0.5782
Epoch 62/100
16/16 [==============================] - 0s 936us/step - loss: 0.5769
Epoch 63/100
16/16 [==============================] - 0s 810us/step - loss: 0.5764
Epoch 64/100
16/16 [==============================] - 0s 873us/step - loss: 0.5757
Epoch 65/100
16/16 [==============================] - 0s 810us/step - loss: 0.5743
Epoch 66/100
16/16 [==============================] - 0s 873us/step - loss: 0.5742
Epoch 67/100
16/16 [==============================] - 0s 873us/step - loss: 0.5739
Epoch 68/100
16/16 [==============================] - 0s 935us/step - loss: 0.5723
Epoch 69/100
16/16 [==============================] - 0s 874us/step - loss: 0.5721
Epoch 70/100
16/16 [==============================] - 0s 872us/step - loss: 0.5711
Epoch 71/100
16/16 [==============================] - 0s 873us/step - loss: 0.5705
Epoch 72/100
16/16 [==============================] - 0s 873us/step - loss: 0.5706
Epoch 73/100
16/16 [==============================] - 0s 810us/step - loss: 0.5693
Epoch 74/100
16/16 [==============================] - 0s 810us/step - loss: 0.5689
Epoch 75/100
16/16 [==============================] - 0s 873us/step - loss: 0.5685
Epoch 76/100
16/16 [==============================] - 0s 810us/step - loss: 0.5675
Epoch 77/100
16/16 [==============================] - 0s 935us/step - loss: 0.5675
Epoch 78/100
16/16 [==============================] - 0s 935us/step - loss: 0.5664
Epoch 79/100
16/16 [==============================] - 0s 872us/step - loss: 0.5660
Epoch 80/100
16/16 [==============================] - 0s 997us/step - loss: 0.5652
Epoch 81/100
16/16 [==============================] - 0s 873us/step - loss: 0.5649
Epoch 82/100
16/16 [==============================] - 0s 935us/step - loss: 0.5639
Epoch 83/100
16/16 [==============================] - 0s 810us/step - loss: 0.5643
Epoch 84/100
16/16 [==============================] - 0s 935us/step - loss: 0.5634
Epoch 85/100
16/16 [==============================] - 0s 873us/step - loss: 0.5630
Epoch 86/100
16/16 [==============================] - 0s 873us/step - loss: 0.5624
Epoch 87/100
16/16 [==============================] - 0s 873us/step - loss: 0.5623
Epoch 88/100
16/16 [==============================] - 0s 873us/step - loss: 0.5611
Epoch 89/100
16/16 [==============================] - 0s 935us/step - loss: 0.5608
Epoch 90/100
16/16 [==============================] - 0s 810us/step - loss: 0.5602
Epoch 91/100
16/16 [==============================] - 0s 873us/step - loss: 0.5606
Epoch 92/100
16/16 [==============================] - 0s 810us/step - loss: 0.5598
Epoch 93/100
16/16 [==============================] - 0s 873us/step - loss: 0.5589
Epoch 94/100
16/16 [==============================] - 0s 873us/step - loss: 0.5592
Epoch 95/100
16/16 [==============================] - 0s 873us/step - loss: 0.5584
Epoch 96/100
16/16 [==============================] - 0s 748us/step - loss: 0.5586
Epoch 97/100
16/16 [==============================] - 0s 873us/step - loss: 0.5572
Epoch 98/100
16/16 [==============================] - 0s 810us/step - loss: 0.5580
Epoch 99/100
16/16 [==============================] - 0s 810us/step - loss: 0.5575
Epoch 100/100
16/16 [==============================] - 0s 873us/step - loss: 0.5556
###################################################################### Accuracy: 67.69327539560405
Epoch 1/100
16/16 [==============================] - 0s 873us/step - loss: 0.9835
Epoch 2/100
16/16 [==============================] - 0s 935us/step - loss: 0.9750
Epoch 3/100
16/16 [==============================] - 0s 997us/step - loss: 0.9619
Epoch 4/100
16/16 [==============================] - 0s 873us/step - loss: 0.9426
Epoch 5/100
16/16 [==============================] - 0s 935us/step - loss: 0.9179
Epoch 6/100
16/16 [==============================] - 0s 810us/step - loss: 0.8883
Epoch 7/100
16/16 [==============================] - 0s 748us/step - loss: 0.8549
Epoch 8/100
16/16 [==============================] - 0s 935us/step - loss: 0.8191
Epoch 9/100
16/16 [==============================] - 0s 810us/step - loss: 0.7834
Epoch 10/100
16/16 [==============================] - 0s 748us/step - loss: 0.7505
Epoch 11/100
16/16 [==============================] - 0s 873us/step - loss: 0.7211
Epoch 12/100
16/16 [==============================] - 0s 810us/step - loss: 0.6981
Epoch 13/100
16/16 [==============================] - 0s 810us/step - loss: 0.6791
Epoch 14/100
16/16 [==============================] - 0s 873us/step - loss: 0.6646
Epoch 15/100
16/16 [==============================] - 0s 810us/step - loss: 0.6533
Epoch 16/100
16/16 [==============================] - 0s 873us/step - loss: 0.6451
Epoch 17/100
16/16 [==============================] - 0s 935us/step - loss: 0.6394
Epoch 18/100
16/16 [==============================] - 0s 873us/step - loss: 0.6345
Epoch 19/100
16/16 [==============================] - 0s 810us/step - loss: 0.6299
Epoch 20/100
16/16 [==============================] - 0s 810us/step - loss: 0.6267
Epoch 21/100
16/16 [==============================] - 0s 810us/step - loss: 0.6237
Epoch 22/100
16/16 [==============================] - 0s 873us/step - loss: 0.6207
Epoch 23/100
16/16 [==============================] - 0s 811us/step - loss: 0.6187
Epoch 24/100
16/16 [==============================] - 0s 873us/step - loss: 0.6160
Epoch 25/100
16/16 [==============================] - 0s 811us/step - loss: 0.6138
Epoch 26/100
16/16 [==============================] - 0s 935us/step - loss: 0.6115
Epoch 27/100
16/16 [==============================] - ETA: 0s - loss: 0.545 - 0s 935us/step - loss: 0.6095
Epoch 28/100
16/16 [==============================] - 0s 935us/step - loss: 0.6079
Epoch 29/100
16/16 [==============================] - 0s 873us/step - loss: 0.6050
Epoch 30/100
16/16 [==============================] - 0s 810us/step - loss: 0.6034
Epoch 31/100
16/16 [==============================] - 0s 873us/step - loss: 0.6017
Epoch 32/100
16/16 [==============================] - 0s 935us/step - loss: 0.6002
Epoch 33/100
16/16 [==============================] - ETA: 0s - loss: 0.446 - 0s 873us/step - loss: 0.5980
Epoch 34/100
16/16 [==============================] - 0s 873us/step - loss: 0.5964
Epoch 35/100
16/16 [==============================] - 0s 935us/step - loss: 0.5957
Epoch 36/100
16/16 [==============================] - 0s 810us/step - loss: 0.5938
Epoch 37/100
16/16 [==============================] - 0s 748us/step - loss: 0.5917
Epoch 38/100
16/16 [==============================] - 0s 935us/step - loss: 0.5909
Epoch 39/100
16/16 [==============================] - 0s 873us/step - loss: 0.5890
Epoch 40/100
16/16 [==============================] - 0s 810us/step - loss: 0.5875
Epoch 41/100
16/16 [==============================] - 0s 997us/step - loss: 0.5864
Epoch 42/100
16/16 [==============================] - 0s 873us/step - loss: 0.5859
Epoch 43/100
16/16 [==============================] - 0s 810us/step - loss: 0.5852
Epoch 44/100
16/16 [==============================] - 0s 935us/step - loss: 0.5836
Epoch 45/100
16/16 [==============================] - 0s 873us/step - loss: 0.5834
Epoch 46/100
16/16 [==============================] - 0s 810us/step - loss: 0.5824
Epoch 47/100
16/16 [==============================] - 0s 873us/step - loss: 0.5812
Epoch 48/100
16/16 [==============================] - 0s 873us/step - loss: 0.5808
Epoch 49/100
16/16 [==============================] - 0s 935us/step - loss: 0.5796
Epoch 50/100
16/16 [==============================] - 0s 873us/step - loss: 0.5789
Epoch 51/100
16/16 [==============================] - 0s 873us/step - loss: 0.5773
Epoch 52/100
16/16 [==============================] - 0s 935us/step - loss: 0.5779
Epoch 53/100
16/16 [==============================] - 0s 810us/step - loss: 0.5770
Epoch 54/100
16/16 [==============================] - 0s 810us/step - loss: 0.5753
Epoch 55/100
16/16 [==============================] - 0s 810us/step - loss: 0.5755
Epoch 56/100
16/16 [==============================] - 0s 810us/step - loss: 0.5749
Epoch 57/100
16/16 [==============================] - 0s 748us/step - loss: 0.5740
Epoch 58/100
16/16 [==============================] - 0s 873us/step - loss: 0.5728
Epoch 59/100
16/16 [==============================] - 0s 873us/step - loss: 0.5731
Epoch 60/100
16/16 [==============================] - 0s 810us/step - loss: 0.5731
Epoch 61/100
16/16 [==============================] - 0s 873us/step - loss: 0.5717
Epoch 62/100
16/16 [==============================] - 0s 873us/step - loss: 0.5715
Epoch 63/100
16/16 [==============================] - 0s 935us/step - loss: 0.5711
Epoch 64/100
16/16 [==============================] - 0s 810us/step - loss: 0.5713
Epoch 65/100
16/16 [==============================] - 0s 810us/step - loss: 0.5704
Epoch 66/100
16/16 [==============================] - 0s 873us/step - loss: 0.5695
Epoch 67/100
16/16 [==============================] - 0s 935us/step - loss: 0.5691
Epoch 68/100
16/16 [==============================] - 0s 873us/step - loss: 0.5688
Epoch 69/100
16/16 [==============================] - 0s 873us/step - loss: 0.5689
Epoch 70/100
16/16 [==============================] - 0s 873us/step - loss: 0.5681
Epoch 71/100
16/16 [==============================] - 0s 810us/step - loss: 0.5678
Epoch 72/100
16/16 [==============================] - 0s 935us/step - loss: 0.5673
Epoch 73/100
16/16 [==============================] - 0s 873us/step - loss: 0.5678
Epoch 74/100
16/16 [==============================] - 0s 873us/step - loss: 0.5662
Epoch 75/100
16/16 [==============================] - 0s 873us/step - loss: 0.5665
Epoch 76/100
16/16 [==============================] - 0s 997us/step - loss: 0.5656
Epoch 77/100
16/16 [==============================] - 0s 935us/step - loss: 0.5650
Epoch 78/100
16/16 [==============================] - 0s 873us/step - loss: 0.5651
Epoch 79/100
16/16 [==============================] - 0s 873us/step - loss: 0.5649
Epoch 80/100
16/16 [==============================] - 0s 997us/step - loss: 0.5644
Epoch 81/100
16/16 [==============================] - 0s 873us/step - loss: 0.5649
Epoch 82/100
16/16 [==============================] - 0s 1ms/step - loss: 0.5637
Epoch 83/100
16/16 [==============================] - 0s 935us/step - loss: 0.5635
Epoch 84/100
16/16 [==============================] - 0s 810us/step - loss: 0.5631
Epoch 85/100
16/16 [==============================] - 0s 873us/step - loss: 0.5640
Epoch 86/100
16/16 [==============================] - 0s 935us/step - loss: 0.5632
Epoch 87/100
16/16 [==============================] - 0s 810us/step - loss: 0.5625
Epoch 88/100
16/16 [==============================] - ETA: 0s - loss: 0.487 - 0s 873us/step - loss: 0.5629
Epoch 89/100
16/16 [==============================] - 0s 873us/step - loss: 0.5624
Epoch 90/100
16/16 [==============================] - 0s 810us/step - loss: 0.5620
Epoch 91/100
16/16 [==============================] - 0s 935us/step - loss: 0.5625
Epoch 92/100
16/16 [==============================] - 0s 810us/step - loss: 0.5619
Epoch 93/100
16/16 [==============================] - 0s 810us/step - loss: 0.5615
Epoch 94/100
16/16 [==============================] - 0s 997us/step - loss: 0.5603
Epoch 95/100
16/16 [==============================] - 0s 935us/step - loss: 0.5608
Epoch 96/100
16/16 [==============================] - 0s 873us/step - loss: 0.5605
Epoch 97/100
16/16 [==============================] - 0s 810us/step - loss: 0.5612
Epoch 98/100
16/16 [==============================] - 0s 935us/step - loss: 0.5606
Epoch 99/100
16/16 [==============================] - 0s 935us/step - loss: 0.5603
Epoch 100/100
16/16 [==============================] - 0s 872us/step - loss: 0.5594
###################################################################### Accuracy: 75.3522015699763
Epoch 1/100
16/16 [==============================] - 0s 873us/step - loss: 0.9742
Epoch 2/100
16/16 [==============================] - 0s 873us/step - loss: 0.9658
Epoch 3/100
16/16 [==============================] - 0s 873us/step - loss: 0.9522
Epoch 4/100
16/16 [==============================] - 0s 935us/step - loss: 0.9322
Epoch 5/100
16/16 [==============================] - 0s 873us/step - loss: 0.9058
Epoch 6/100
16/16 [==============================] - 0s 810us/step - loss: 0.8772
Epoch 7/100
16/16 [==============================] - 0s 935us/step - loss: 0.8410
Epoch 8/100
16/16 [==============================] - 0s 873us/step - loss: 0.8034
Epoch 9/100
16/16 [==============================] - 0s 810us/step - loss: 0.7673
Epoch 10/100
16/16 [==============================] - 0s 935us/step - loss: 0.7320
Epoch 11/100
16/16 [==============================] - 0s 810us/step - loss: 0.6984
Epoch 12/100
16/16 [==============================] - 0s 873us/step - loss: 0.6728
Epoch 13/100
16/16 [==============================] - 0s 873us/step - loss: 0.6549
Epoch 14/100
16/16 [==============================] - 0s 748us/step - loss: 0.6433
Epoch 15/100
16/16 [==============================] - 0s 810us/step - loss: 0.6344
Epoch 16/100
16/16 [==============================] - 0s 874us/step - loss: 0.6297
Epoch 17/100
16/16 [==============================] - 0s 935us/step - loss: 0.6260
Epoch 18/100
16/16 [==============================] - 0s 873us/step - loss: 0.6242
Epoch 19/100
16/16 [==============================] - 0s 873us/step - loss: 0.6216
Epoch 20/100
16/16 [==============================] - 0s 810us/step - loss: 0.6198
Epoch 21/100
16/16 [==============================] - 0s 873us/step - loss: 0.6175
Epoch 22/100
16/16 [==============================] - 0s 810us/step - loss: 0.6156
Epoch 23/100
16/16 [==============================] - 0s 935us/step - loss: 0.6136
Epoch 24/100
16/16 [==============================] - 0s 810us/step - loss: 0.6121
Epoch 25/100
16/16 [==============================] - 0s 873us/step - loss: 0.6102
Epoch 26/100
16/16 [==============================] - 0s 873us/step - loss: 0.6085
Epoch 27/100
16/16 [==============================] - 0s 810us/step - loss: 0.6073
Epoch 28/100
16/16 [==============================] - 0s 935us/step - loss: 0.6063
Epoch 29/100
16/16 [==============================] - 0s 873us/step - loss: 0.6044
Epoch 30/100
16/16 [==============================] - 0s 935us/step - loss: 0.6037
Epoch 31/100
16/16 [==============================] - 0s 810us/step - loss: 0.6020
Epoch 32/100
16/16 [==============================] - 0s 810us/step - loss: 0.6005
Epoch 33/100
16/16 [==============================] - 0s 997us/step - loss: 0.5992
Epoch 34/100
16/16 [==============================] - 0s 935us/step - loss: 0.5983
Epoch 35/100
16/16 [==============================] - 0s 810us/step - loss: 0.5972
Epoch 36/100
16/16 [==============================] - 0s 873us/step - loss: 0.5957
Epoch 37/100
16/16 [==============================] - 0s 873us/step - loss: 0.5937
Epoch 38/100
16/16 [==============================] - 0s 935us/step - loss: 0.5933
Epoch 39/100
16/16 [==============================] - 0s 873us/step - loss: 0.5917
Epoch 40/100
16/16 [==============================] - 0s 873us/step - loss: 0.5910
Epoch 41/100
16/16 [==============================] - 0s 935us/step - loss: 0.5889
Epoch 42/100
16/16 [==============================] - 0s 935us/step - loss: 0.5887
Epoch 43/100
16/16 [==============================] - 0s 997us/step - loss: 0.5870
Epoch 44/100
16/16 [==============================] - 0s 873us/step - loss: 0.5864
Epoch 45/100
16/16 [==============================] - 0s 935us/step - loss: 0.5849
Epoch 46/100
16/16 [==============================] - 0s 810us/step - loss: 0.5848
Epoch 47/100
16/16 [==============================] - 0s 873us/step - loss: 0.5836
Epoch 48/100
16/16 [==============================] - 0s 873us/step - loss: 0.5825
Epoch 49/100
16/16 [==============================] - 0s 810us/step - loss: 0.5817
Epoch 50/100
16/16 [==============================] - 0s 873us/step - loss: 0.5811
Epoch 51/100
16/16 [==============================] - 0s 873us/step - loss: 0.5793
Epoch 52/100
16/16 [==============================] - 0s 810us/step - loss: 0.5794
Epoch 53/100
16/16 [==============================] - 0s 935us/step - loss: 0.5783
Epoch 54/100
16/16 [==============================] - 0s 935us/step - loss: 0.5770
Epoch 55/100
16/16 [==============================] - 0s 810us/step - loss: 0.5777
Epoch 56/100
16/16 [==============================] - 0s 748us/step - loss: 0.5770
Epoch 57/100
16/16 [==============================] - 0s 873us/step - loss: 0.5757
Epoch 58/100
16/16 [==============================] - 0s 873us/step - loss: 0.5749
Epoch 59/100
16/16 [==============================] - 0s 997us/step - loss: 0.5733
Epoch 60/100
16/16 [==============================] - 0s 873us/step - loss: 0.5732
Epoch 61/100
16/16 [==============================] - 0s 935us/step - loss: 0.5721
Epoch 62/100
16/16 [==============================] - 0s 935us/step - loss: 0.5715
Epoch 63/100
16/16 [==============================] - 0s 873us/step - loss: 0.5708
Epoch 64/100
16/16 [==============================] - 0s 873us/step - loss: 0.5703
Epoch 65/100
16/16 [==============================] - 0s 873us/step - loss: 0.5695
Epoch 66/100
16/16 [==============================] - 0s 935us/step - loss: 0.5691
Epoch 67/100
16/16 [==============================] - 0s 935us/step - loss: 0.5692
Epoch 68/100
16/16 [==============================] - 0s 935us/step - loss: 0.5688
Epoch 69/100
16/16 [==============================] - 0s 873us/step - loss: 0.5681
Epoch 70/100
16/16 [==============================] - 0s 748us/step - loss: 0.5668
Epoch 71/100
16/16 [==============================] - 0s 874us/step - loss: 0.5670
Epoch 72/100
16/16 [==============================] - 0s 873us/step - loss: 0.5668
Epoch 73/100
16/16 [==============================] - 0s 810us/step - loss: 0.5657
Epoch 74/100
16/16 [==============================] - 0s 810us/step - loss: 0.5653
Epoch 75/100
16/16 [==============================] - 0s 873us/step - loss: 0.5657
Epoch 76/100
16/16 [==============================] - 0s 810us/step - loss: 0.5651
Epoch 77/100
16/16 [==============================] - 0s 935us/step - loss: 0.5640
Epoch 78/100
16/16 [==============================] - 0s 935us/step - loss: 0.5631
Epoch 79/100
16/16 [==============================] - 0s 873us/step - loss: 0.5629
Epoch 80/100
16/16 [==============================] - 0s 873us/step - loss: 0.5630
Epoch 81/100
16/16 [==============================] - 0s 997us/step - loss: 0.5623
Epoch 82/100
16/16 [==============================] - 0s 873us/step - loss: 0.5630
Epoch 83/100
16/16 [==============================] - 0s 873us/step - loss: 0.5617
Epoch 84/100
16/16 [==============================] - 0s 872us/step - loss: 0.5612
Epoch 85/100
16/16 [==============================] - 0s 810us/step - loss: 0.5615
Epoch 86/100
16/16 [==============================] - 0s 935us/step - loss: 0.5608
Epoch 87/100
16/16 [==============================] - 0s 873us/step - loss: 0.5619
Epoch 88/100
16/16 [==============================] - 0s 810us/step - loss: 0.5604
Epoch 89/100
16/16 [==============================] - 0s 810us/step - loss: 0.5601
Epoch 90/100
16/16 [==============================] - 0s 935us/step - loss: 0.5602
Epoch 91/100
16/16 [==============================] - 0s 810us/step - loss: 0.5596
Epoch 92/100
16/16 [==============================] - 0s 935us/step - loss: 0.5591
Epoch 93/100
16/16 [==============================] - 0s 873us/step - loss: 0.5590
Epoch 94/100
16/16 [==============================] - 0s 810us/step - loss: 0.5585
Epoch 95/100
16/16 [==============================] - 0s 935us/step - loss: 0.5575
Epoch 96/100
16/16 [==============================] - 0s 935us/step - loss: 0.5584
Epoch 97/100
16/16 [==============================] - 0s 935us/step - loss: 0.5576
Epoch 98/100
16/16 [==============================] - 0s 873us/step - loss: 0.5579
Epoch 99/100
16/16 [==============================] - ETA: 0s - loss: 0.475 - 0s 810us/step - loss: 0.5572
Epoch 100/100
16/16 [==============================] - 0s 873us/step - loss: 0.5568
###################################################################### Accuracy: 87.3036641066845
Epoch 1/100
16/16 [==============================] - 0s 935us/step - loss: 1.0148
Epoch 2/100
16/16 [==============================] - 0s 873us/step - loss: 1.0026
Epoch 3/100
16/16 [==============================] - 0s 1ms/step - loss: 0.9835
Epoch 4/100
16/16 [==============================] - 0s 997us/step - loss: 0.9580
Epoch 5/100
16/16 [==============================] - 0s 935us/step - loss: 0.9271
Epoch 6/100
16/16 [==============================] - 0s 810us/step - loss: 0.8931
Epoch 7/100
16/16 [==============================] - 0s 873us/step - loss: 0.8534
Epoch 8/100
16/16 [==============================] - 0s 873us/step - loss: 0.8124
Epoch 9/100
16/16 [==============================] - 0s 748us/step - loss: 0.7720
Epoch 10/100
16/16 [==============================] - 0s 873us/step - loss: 0.7387
Epoch 11/100
16/16 [==============================] - 0s 873us/step - loss: 0.7085
Epoch 12/100
16/16 [==============================] - 0s 873us/step - loss: 0.6856
Epoch 13/100
16/16 [==============================] - 0s 873us/step - loss: 0.6700
Epoch 14/100
16/16 [==============================] - 0s 873us/step - loss: 0.6596
Epoch 15/100
16/16 [==============================] - 0s 810us/step - loss: 0.6525
Epoch 16/100
16/16 [==============================] - 0s 873us/step - loss: 0.6484
Epoch 17/100
16/16 [==============================] - 0s 935us/step - loss: 0.6452
Epoch 18/100
16/16 [==============================] - 0s 873us/step - loss: 0.6431
Epoch 19/100
16/16 [==============================] - 0s 873us/step - loss: 0.6401
Epoch 20/100
16/16 [==============================] - 0s 810us/step - loss: 0.6381
Epoch 21/100
16/16 [==============================] - 0s 810us/step - loss: 0.6357
Epoch 22/100
16/16 [==============================] - 0s 810us/step - loss: 0.6343
Epoch 23/100
16/16 [==============================] - 0s 873us/step - loss: 0.6324
Epoch 24/100
16/16 [==============================] - 0s 873us/step - loss: 0.6307
Epoch 25/100
16/16 [==============================] - 0s 810us/step - loss: 0.6285
Epoch 26/100
16/16 [==============================] - 0s 873us/step - loss: 0.6276
Epoch 27/100
16/16 [==============================] - 0s 873us/step - loss: 0.6261
Epoch 28/100
16/16 [==============================] - 0s 873us/step - loss: 0.6250
Epoch 29/100
16/16 [==============================] - 0s 935us/step - loss: 0.6238
Epoch 30/100
16/16 [==============================] - 0s 935us/step - loss: 0.6223
Epoch 31/100
16/16 [==============================] - 0s 935us/step - loss: 0.6214
Epoch 32/100
16/16 [==============================] - 0s 810us/step - loss: 0.6202
Epoch 33/100
16/16 [==============================] - 0s 873us/step - loss: 0.6193
Epoch 34/100
16/16 [==============================] - 0s 810us/step - loss: 0.6189
Epoch 35/100
16/16 [==============================] - 0s 810us/step - loss: 0.6176
Epoch 36/100
16/16 [==============================] - 0s 873us/step - loss: 0.6164
Epoch 37/100
16/16 [==============================] - 0s 935us/step - loss: 0.6154
Epoch 38/100
16/16 [==============================] - 0s 748us/step - loss: 0.6148
Epoch 39/100
16/16 [==============================] - 0s 873us/step - loss: 0.6142
Epoch 40/100
16/16 [==============================] - 0s 873us/step - loss: 0.6136
Epoch 41/100
16/16 [==============================] - 0s 873us/step - loss: 0.6118
Epoch 42/100
16/16 [==============================] - 0s 873us/step - loss: 0.6113
Epoch 43/100
16/16 [==============================] - 0s 810us/step - loss: 0.6107
Epoch 44/100
16/16 [==============================] - 0s 873us/step - loss: 0.6095
Epoch 45/100
16/16 [==============================] - 0s 873us/step - loss: 0.6091
Epoch 46/100
16/16 [==============================] - 0s 935us/step - loss: 0.6085
Epoch 47/100
16/16 [==============================] - 0s 935us/step - loss: 0.6073
Epoch 48/100
16/16 [==============================] - 0s 810us/step - loss: 0.6073
Epoch 49/100
16/16 [==============================] - 0s 873us/step - loss: 0.6057
Epoch 50/100
16/16 [==============================] - 0s 873us/step - loss: 0.6042
Epoch 51/100
16/16 [==============================] - 0s 873us/step - loss: 0.6042
Epoch 52/100
16/16 [==============================] - 0s 873us/step - loss: 0.6034
Epoch 53/100
16/16 [==============================] - 0s 935us/step - loss: 0.6025
Epoch 54/100
16/16 [==============================] - 0s 997us/step - loss: 0.6022
Epoch 55/100
16/16 [==============================] - 0s 873us/step - loss: 0.6008
Epoch 56/100
16/16 [==============================] - 0s 935us/step - loss: 0.6006
Epoch 57/100
16/16 [==============================] - 0s 811us/step - loss: 0.6002
Epoch 58/100
16/16 [==============================] - 0s 935us/step - loss: 0.5996
Epoch 59/100
16/16 [==============================] - 0s 873us/step - loss: 0.5990
Epoch 60/100
16/16 [==============================] - 0s 935us/step - loss: 0.5984
Epoch 61/100
16/16 [==============================] - 0s 810us/step - loss: 0.5969
Epoch 62/100
16/16 [==============================] - 0s 810us/step - loss: 0.5961
Epoch 63/100
16/16 [==============================] - 0s 873us/step - loss: 0.5960
Epoch 64/100
16/16 [==============================] - 0s 873us/step - loss: 0.5955
Epoch 65/100
16/16 [==============================] - 0s 935us/step - loss: 0.5950
Epoch 66/100
16/16 [==============================] - 0s 873us/step - loss: 0.5938
Epoch 67/100
16/16 [==============================] - 0s 873us/step - loss: 0.5936
Epoch 68/100
16/16 [==============================] - 0s 935us/step - loss: 0.5928
Epoch 69/100
16/16 [==============================] - 0s 873us/step - loss: 0.5935
Epoch 70/100
16/16 [==============================] - 0s 997us/step - loss: 0.5924
Epoch 71/100
16/16 [==============================] - 0s 935us/step - loss: 0.5909
Epoch 72/100
16/16 [==============================] - 0s 873us/step - loss: 0.5909
Epoch 73/100
16/16 [==============================] - 0s 810us/step - loss: 0.5910
Epoch 74/100
16/16 [==============================] - 0s 873us/step - loss: 0.5902
Epoch 75/100
16/16 [==============================] - 0s 873us/step - loss: 0.5894
Epoch 76/100
16/16 [==============================] - 0s 810us/step - loss: 0.5901
Epoch 77/100
16/16 [==============================] - 0s 873us/step - loss: 0.5889
Epoch 78/100
16/16 [==============================] - 0s 810us/step - loss: 0.5886
Epoch 79/100
16/16 [==============================] - 0s 873us/step - loss: 0.5875
Epoch 80/100
16/16 [==============================] - 0s 810us/step - loss: 0.5874
Epoch 81/100
16/16 [==============================] - 0s 935us/step - loss: 0.5874
Epoch 82/100
16/16 [==============================] - 0s 873us/step - loss: 0.5867
Epoch 83/100
16/16 [==============================] - 0s 810us/step - loss: 0.5866
Epoch 84/100
16/16 [==============================] - 0s 873us/step - loss: 0.5864
Epoch 85/100
16/16 [==============================] - 0s 935us/step - loss: 0.5866
Epoch 86/100
16/16 [==============================] - 0s 873us/step - loss: 0.5850
Epoch 87/100
16/16 [==============================] - 0s 873us/step - loss: 0.5849
Epoch 88/100
16/16 [==============================] - 0s 873us/step - loss: 0.5847
Epoch 89/100
16/16 [==============================] - 0s 873us/step - loss: 0.5841
Epoch 90/100
16/16 [==============================] - 0s 873us/step - loss: 0.5843
Epoch 91/100
16/16 [==============================] - 0s 810us/step - loss: 0.5839
Epoch 92/100
16/16 [==============================] - 0s 873us/step - loss: 0.5829
Epoch 93/100
16/16 [==============================] - 0s 935us/step - loss: 0.5834
Epoch 94/100
16/16 [==============================] - 0s 748us/step - loss: 0.5830
Epoch 95/100
16/16 [==============================] - 0s 873us/step - loss: 0.5831
Epoch 96/100
16/16 [==============================] - 0s 810us/step - loss: 0.5822
Epoch 97/100
16/16 [==============================] - 0s 935us/step - loss: 0.5819
Epoch 98/100
16/16 [==============================] - 0s 873us/step - loss: 0.5820
Epoch 99/100
16/16 [==============================] - 0s 810us/step - loss: 0.5800
Epoch 100/100
16/16 [==============================] - 0s 935us/step - loss: 0.5802
###################################################################### Accuracy: 75.00350433996374
Epoch 1/100
16/16 [==============================] - 0s 873us/step - loss: 1.0001
Epoch 2/100
16/16 [==============================] - 0s 936us/step - loss: 0.9921
Epoch 3/100
16/16 [==============================] - 0s 936us/step - loss: 0.9795
Epoch 4/100
16/16 [==============================] - 0s 935us/step - loss: 0.9603
Epoch 5/100
16/16 [==============================] - 0s 873us/step - loss: 0.9346
Epoch 6/100
16/16 [==============================] - 0s 997us/step - loss: 0.9041
Epoch 7/100
16/16 [==============================] - 0s 873us/step - loss: 0.8695
Epoch 8/100
16/16 [==============================] - 0s 935us/step - loss: 0.8330
Epoch 9/100
16/16 [==============================] - 0s 935us/step - loss: 0.7963
Epoch 10/100
16/16 [==============================] - 0s 810us/step - loss: 0.7644
Epoch 11/100
16/16 [==============================] - 0s 873us/step - loss: 0.7372
Epoch 12/100
16/16 [==============================] - 0s 873us/step - loss: 0.7129
Epoch 13/100
16/16 [==============================] - 0s 873us/step - loss: 0.6924
Epoch 14/100
16/16 [==============================] - 0s 873us/step - loss: 0.6739
Epoch 15/100
16/16 [==============================] - 0s 935us/step - loss: 0.6586
Epoch 16/100
16/16 [==============================] - 0s 935us/step - loss: 0.6484
Epoch 17/100
16/16 [==============================] - 0s 873us/step - loss: 0.6418
Epoch 18/100
16/16 [==============================] - 0s 810us/step - loss: 0.6353
Epoch 19/100
16/16 [==============================] - 0s 935us/step - loss: 0.6314
Epoch 20/100
16/16 [==============================] - 0s 873us/step - loss: 0.6282
Epoch 21/100
16/16 [==============================] - 0s 810us/step - loss: 0.6254
Epoch 22/100
16/16 [==============================] - 0s 873us/step - loss: 0.6228
Epoch 23/100
16/16 [==============================] - 0s 811us/step - loss: 0.6209
Epoch 24/100
16/16 [==============================] - 0s 810us/step - loss: 0.6193
Epoch 25/100
16/16 [==============================] - 0s 810us/step - loss: 0.6170
Epoch 26/100
16/16 [==============================] - 0s 935us/step - loss: 0.6150
Epoch 27/100
16/16 [==============================] - 0s 810us/step - loss: 0.6133
Epoch 28/100
16/16 [==============================] - 0s 810us/step - loss: 0.6118
Epoch 29/100
16/16 [==============================] - 0s 935us/step - loss: 0.6101
Epoch 30/100
16/16 [==============================] - 0s 935us/step - loss: 0.6084
Epoch 31/100
16/16 [==============================] - 0s 873us/step - loss: 0.6062
Epoch 32/100
16/16 [==============================] - 0s 811us/step - loss: 0.6052
Epoch 33/100
16/16 [==============================] - 0s 873us/step - loss: 0.6039
Epoch 34/100
16/16 [==============================] - 0s 810us/step - loss: 0.6024
Epoch 35/100
16/16 [==============================] - 0s 810us/step - loss: 0.6009
Epoch 36/100
16/16 [==============================] - 0s 873us/step - loss: 0.5995
Epoch 37/100
16/16 [==============================] - 0s 873us/step - loss: 0.5972
Epoch 38/100
16/16 [==============================] - ETA: 0s - loss: 0.728 - 0s 810us/step - loss: 0.5962
Epoch 39/100
16/16 [==============================] - 0s 810us/step - loss: 0.5948
Epoch 40/100
16/16 [==============================] - 0s 810us/step - loss: 0.5933
Epoch 41/100
16/16 [==============================] - 0s 810us/step - loss: 0.5913
Epoch 42/100
16/16 [==============================] - 0s 810us/step - loss: 0.5900
Epoch 43/100
16/16 [==============================] - 0s 873us/step - loss: 0.5890
Epoch 44/100
16/16 [==============================] - 0s 810us/step - loss: 0.5872
Epoch 45/100
16/16 [==============================] - 0s 810us/step - loss: 0.5861
Epoch 46/100
16/16 [==============================] - 0s 935us/step - loss: 0.5857
Epoch 47/100
16/16 [==============================] - 0s 997us/step - loss: 0.5842
Epoch 48/100
16/16 [==============================] - 0s 810us/step - loss: 0.5833
Epoch 49/100
16/16 [==============================] - 0s 935us/step - loss: 0.5823
Epoch 50/100
16/16 [==============================] - 0s 873us/step - loss: 0.5809
Epoch 51/100
16/16 [==============================] - 0s 810us/step - loss: 0.5806
Epoch 52/100
16/16 [==============================] - 0s 873us/step - loss: 0.5786
Epoch 53/100
16/16 [==============================] - 0s 873us/step - loss: 0.5779
Epoch 54/100
16/16 [==============================] - 0s 935us/step - loss: 0.5771
Epoch 55/100
16/16 [==============================] - 0s 873us/step - loss: 0.5764
Epoch 56/100
16/16 [==============================] - 0s 873us/step - loss: 0.5750
Epoch 57/100
16/16 [==============================] - 0s 935us/step - loss: 0.5750
Epoch 58/100
16/16 [==============================] - 0s 873us/step - loss: 0.5732
Epoch 59/100
16/16 [==============================] - 0s 935us/step - loss: 0.5732
Epoch 60/100
16/16 [==============================] - 0s 810us/step - loss: 0.5721
Epoch 61/100
16/16 [==============================] - 0s 810us/step - loss: 0.5715
Epoch 62/100
16/16 [==============================] - 0s 935us/step - loss: 0.5705
Epoch 63/100
16/16 [==============================] - 0s 873us/step - loss: 0.5699
Epoch 64/100
16/16 [==============================] - 0s 873us/step - loss: 0.5700
Epoch 65/100
16/16 [==============================] - 0s 935us/step - loss: 0.5689
Epoch 66/100
16/16 [==============================] - 0s 873us/step - loss: 0.5679
Epoch 67/100
16/16 [==============================] - 0s 873us/step - loss: 0.5681
Epoch 68/100
16/16 [==============================] - 0s 873us/step - loss: 0.5671
Epoch 69/100
16/16 [==============================] - 0s 873us/step - loss: 0.5667
Epoch 70/100
16/16 [==============================] - 0s 810us/step - loss: 0.5661
Epoch 71/100
16/16 [==============================] - 0s 810us/step - loss: 0.5660
Epoch 72/100
16/16 [==============================] - 0s 873us/step - loss: 0.5651
Epoch 73/100
16/16 [==============================] - 0s 873us/step - loss: 0.5651
Epoch 74/100
16/16 [==============================] - 0s 810us/step - loss: 0.5650
Epoch 75/100
16/16 [==============================] - 0s 935us/step - loss: 0.5640
Epoch 76/100
16/16 [==============================] - 0s 873us/step - loss: 0.5638
Epoch 77/100
16/16 [==============================] - 0s 873us/step - loss: 0.5633
Epoch 78/100
16/16 [==============================] - 0s 872us/step - loss: 0.5630
Epoch 79/100
16/16 [==============================] - 0s 873us/step - loss: 0.5626
Epoch 80/100
16/16 [==============================] - 0s 873us/step - loss: 0.5634
Epoch 81/100
16/16 [==============================] - 0s 873us/step - loss: 0.5617
Epoch 82/100
16/16 [==============================] - 0s 935us/step - loss: 0.5612
Epoch 83/100
16/16 [==============================] - 0s 810us/step - loss: 0.5613
Epoch 84/100
16/16 [==============================] - 0s 873us/step - loss: 0.5606
Epoch 85/100
16/16 [==============================] - 0s 873us/step - loss: 0.5604
Epoch 86/100
16/16 [==============================] - 0s 873us/step - loss: 0.5599
Epoch 87/100
16/16 [==============================] - 0s 810us/step - loss: 0.5601
Epoch 88/100
16/16 [==============================] - 0s 873us/step - loss: 0.5588
Epoch 89/100
16/16 [==============================] - 0s 810us/step - loss: 0.5593
Epoch 90/100
16/16 [==============================] - 0s 873us/step - loss: 0.5577
Epoch 91/100
16/16 [==============================] - 0s 873us/step - loss: 0.5580
Epoch 92/100
16/16 [==============================] - 0s 810us/step - loss: 0.5582
Epoch 93/100
16/16 [==============================] - 0s 873us/step - loss: 0.5578
Epoch 94/100
16/16 [==============================] - 0s 810us/step - loss: 0.5576
Epoch 95/100
16/16 [==============================] - 0s 748us/step - loss: 0.5567
Epoch 96/100
16/16 [==============================] - 0s 997us/step - loss: 0.5572
Epoch 97/100
16/16 [==============================] - 0s 935us/step - loss: 0.5562
Epoch 98/100
16/16 [==============================] - 0s 935us/step - loss: 0.5565
Epoch 99/100
16/16 [==============================] - 0s 810us/step - loss: 0.5557
Epoch 100/100
16/16 [==============================] - 0s 873us/step - loss: 0.5551
###################################################################### Accuracy: 72.72177730154445
Epoch 1/150
16/16 [==============================] - 0s 872us/step - loss: 1.0180
Epoch 2/150
16/16 [==============================] - 0s 873us/step - loss: 1.0115
Epoch 3/150
16/16 [==============================] - 0s 935us/step - loss: 0.9990
Epoch 4/150
16/16 [==============================] - 0s 934us/step - loss: 0.9810
Epoch 5/150
16/16 [==============================] - 0s 872us/step - loss: 0.9569
Epoch 6/150
16/16 [==============================] - 0s 873us/step - loss: 0.9272
Epoch 7/150
16/16 [==============================] - 0s 873us/step - loss: 0.8928
Epoch 8/150
16/16 [==============================] - 0s 810us/step - loss: 0.8536
Epoch 9/150
16/16 [==============================] - 0s 873us/step - loss: 0.8127
Epoch 10/150
16/16 [==============================] - 0s 873us/step - loss: 0.7742
Epoch 11/150
16/16 [==============================] - 0s 748us/step - loss: 0.7382
Epoch 12/150
16/16 [==============================] - 0s 873us/step - loss: 0.7070
Epoch 13/150
16/16 [==============================] - 0s 810us/step - loss: 0.6829
Epoch 14/150
16/16 [==============================] - 0s 873us/step - loss: 0.6640
Epoch 15/150
16/16 [==============================] - 0s 810us/step - loss: 0.6521
Epoch 16/150
16/16 [==============================] - 0s 873us/step - loss: 0.6449
Epoch 17/150
16/16 [==============================] - 0s 935us/step - loss: 0.6396
Epoch 18/150
16/16 [==============================] - 0s 935us/step - loss: 0.6367
Epoch 19/150
16/16 [==============================] - 0s 935us/step - loss: 0.6350
Epoch 20/150
16/16 [==============================] - 0s 873us/step - loss: 0.6314
Epoch 21/150
16/16 [==============================] - 0s 935us/step - loss: 0.6306
Epoch 22/150
16/16 [==============================] - 0s 873us/step - loss: 0.6283
Epoch 23/150
16/16 [==============================] - 0s 873us/step - loss: 0.6264
Epoch 24/150
16/16 [==============================] - 0s 873us/step - loss: 0.6245
Epoch 25/150
16/16 [==============================] - 0s 810us/step - loss: 0.6228
Epoch 26/150
16/16 [==============================] - 0s 935us/step - loss: 0.6211
Epoch 27/150
16/16 [==============================] - 0s 873us/step - loss: 0.6196
Epoch 28/150
16/16 [==============================] - 0s 810us/step - loss: 0.6171
Epoch 29/150
16/16 [==============================] - 0s 935us/step - loss: 0.6157
Epoch 30/150
16/16 [==============================] - 0s 810us/step - loss: 0.6136
Epoch 31/150
16/16 [==============================] - 0s 810us/step - loss: 0.6125
Epoch 32/150
16/16 [==============================] - 0s 810us/step - loss: 0.6107
Epoch 33/150
16/16 [==============================] - 0s 935us/step - loss: 0.6092
Epoch 34/150
16/16 [==============================] - 0s 873us/step - loss: 0.6079
Epoch 35/150
16/16 [==============================] - 0s 936us/step - loss: 0.6060
Epoch 36/150
16/16 [==============================] - 0s 748us/step - loss: 0.6055
Epoch 37/150
16/16 [==============================] - 0s 873us/step - loss: 0.6038
Epoch 38/150
16/16 [==============================] - 0s 748us/step - loss: 0.6018
Epoch 39/150
16/16 [==============================] - 0s 872us/step - loss: 0.6010
Epoch 40/150
16/16 [==============================] - 0s 810us/step - loss: 0.6003
Epoch 41/150
16/16 [==============================] - 0s 873us/step - loss: 0.5989
Epoch 42/150
16/16 [==============================] - ETA: 0s - loss: 0.631 - 0s 810us/step - loss: 0.5975
Epoch 43/150
16/16 [==============================] - 0s 810us/step - loss: 0.5970
Epoch 44/150
16/16 [==============================] - 0s 873us/step - loss: 0.5953
Epoch 45/150
16/16 [==============================] - 0s 935us/step - loss: 0.5945
Epoch 46/150
16/16 [==============================] - 0s 810us/step - loss: 0.5930
Epoch 47/150
16/16 [==============================] - 0s 935us/step - loss: 0.5924
Epoch 48/150
16/16 [==============================] - 0s 873us/step - loss: 0.5905
Epoch 49/150
16/16 [==============================] - 0s 873us/step - loss: 0.5900
Epoch 50/150
16/16 [==============================] - 0s 873us/step - loss: 0.5884
Epoch 51/150
16/16 [==============================] - 0s 873us/step - loss: 0.5875
Epoch 52/150
16/16 [==============================] - 0s 873us/step - loss: 0.5862
Epoch 53/150
16/16 [==============================] - 0s 935us/step - loss: 0.5852
Epoch 54/150
16/16 [==============================] - 0s 810us/step - loss: 0.5841
Epoch 55/150
16/16 [==============================] - 0s 873us/step - loss: 0.5838
Epoch 56/150
16/16 [==============================] - 0s 810us/step - loss: 0.5821
Epoch 57/150
16/16 [==============================] - 0s 873us/step - loss: 0.5825
Epoch 58/150
16/16 [==============================] - 0s 810us/step - loss: 0.5810
Epoch 59/150
16/16 [==============================] - 0s 810us/step - loss: 0.5805
Epoch 60/150
16/16 [==============================] - 0s 873us/step - loss: 0.5791
Epoch 61/150
16/16 [==============================] - 0s 935us/step - loss: 0.5787
Epoch 62/150
16/16 [==============================] - 0s 873us/step - loss: 0.5769
Epoch 63/150
16/16 [==============================] - 0s 810us/step - loss: 0.5774
Epoch 64/150
16/16 [==============================] - 0s 935us/step - loss: 0.5755
Epoch 65/150
16/16 [==============================] - 0s 935us/step - loss: 0.5744
Epoch 66/150
16/16 [==============================] - 0s 748us/step - loss: 0.5734
Epoch 67/150
16/16 [==============================] - 0s 873us/step - loss: 0.5734
Epoch 68/150
16/16 [==============================] - 0s 873us/step - loss: 0.5723
Epoch 69/150
16/16 [==============================] - 0s 810us/step - loss: 0.5710
Epoch 70/150
16/16 [==============================] - 0s 810us/step - loss: 0.5707
Epoch 71/150
16/16 [==============================] - 0s 935us/step - loss: 0.5697
Epoch 72/150
16/16 [==============================] - 0s 810us/step - loss: 0.5691
Epoch 73/150
16/16 [==============================] - 0s 873us/step - loss: 0.5681
Epoch 74/150
16/16 [==============================] - 0s 873us/step - loss: 0.5680
Epoch 75/150
16/16 [==============================] - 0s 935us/step - loss: 0.5673
Epoch 76/150
16/16 [==============================] - 0s 873us/step - loss: 0.5661
Epoch 77/150
16/16 [==============================] - 0s 873us/step - loss: 0.5660
Epoch 78/150
16/16 [==============================] - 0s 873us/step - loss: 0.5645
Epoch 79/150
16/16 [==============================] - 0s 873us/step - loss: 0.5644
Epoch 80/150
16/16 [==============================] - 0s 935us/step - loss: 0.5641
Epoch 81/150
16/16 [==============================] - 0s 873us/step - loss: 0.5637
Epoch 82/150
16/16 [==============================] - ETA: 0s - loss: 0.678 - 0s 810us/step - loss: 0.5631
Epoch 83/150
16/16 [==============================] - 0s 873us/step - loss: 0.5625
Epoch 84/150
16/16 [==============================] - 0s 873us/step - loss: 0.5619
Epoch 85/150
16/16 [==============================] - 0s 810us/step - loss: 0.5610
Epoch 86/150
16/16 [==============================] - 0s 810us/step - loss: 0.5615
Epoch 87/150
16/16 [==============================] - 0s 810us/step - loss: 0.5614
Epoch 88/150
16/16 [==============================] - 0s 810us/step - loss: 0.5617
Epoch 89/150
16/16 [==============================] - 0s 810us/step - loss: 0.5596
Epoch 90/150
16/16 [==============================] - 0s 873us/step - loss: 0.5601
Epoch 91/150
16/16 [==============================] - 0s 873us/step - loss: 0.5594
Epoch 92/150
16/16 [==============================] - 0s 873us/step - loss: 0.5589
Epoch 93/150
16/16 [==============================] - 0s 873us/step - loss: 0.5580
Epoch 94/150
16/16 [==============================] - 0s 810us/step - loss: 0.5585
Epoch 95/150
16/16 [==============================] - 0s 810us/step - loss: 0.5582
Epoch 96/150
16/16 [==============================] - 0s 873us/step - loss: 0.5579
Epoch 97/150
16/16 [==============================] - 0s 873us/step - loss: 0.5567
Epoch 98/150
16/16 [==============================] - 0s 810us/step - loss: 0.5566
Epoch 99/150
16/16 [==============================] - 0s 873us/step - loss: 0.5560
Epoch 100/150
16/16 [==============================] - 0s 873us/step - loss: 0.5569
Epoch 101/150
16/16 [==============================] - 0s 810us/step - loss: 0.5551
Epoch 102/150
16/16 [==============================] - 0s 873us/step - loss: 0.5548
Epoch 103/150
16/16 [==============================] - 0s 873us/step - loss: 0.5545
Epoch 104/150
16/16 [==============================] - 0s 873us/step - loss: 0.5541
Epoch 105/150
16/16 [==============================] - 0s 873us/step - loss: 0.5535
Epoch 106/150
16/16 [==============================] - 0s 935us/step - loss: 0.5533
Epoch 107/150
16/16 [==============================] - 0s 873us/step - loss: 0.5525
Epoch 108/150
16/16 [==============================] - 0s 873us/step - loss: 0.5518
Epoch 109/150
16/16 [==============================] - 0s 810us/step - loss: 0.5515
Epoch 110/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5510
Epoch 111/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5514
Epoch 112/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5513
Epoch 113/150
16/16 [==============================] - 0s 935us/step - loss: 0.5507
Epoch 114/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5495
Epoch 115/150
16/16 [==============================] - 0s 810us/step - loss: 0.5491
Epoch 116/150
16/16 [==============================] - 0s 810us/step - loss: 0.5501
Epoch 117/150
16/16 [==============================] - 0s 997us/step - loss: 0.5495
Epoch 118/150
16/16 [==============================] - 0s 873us/step - loss: 0.5487
Epoch 119/150
16/16 [==============================] - 0s 810us/step - loss: 0.5483
Epoch 120/150
16/16 [==============================] - 0s 873us/step - loss: 0.5479
Epoch 121/150
16/16 [==============================] - 0s 873us/step - loss: 0.5482
Epoch 122/150
16/16 [==============================] - 0s 810us/step - loss: 0.5481
Epoch 123/150
16/16 [==============================] - 0s 935us/step - loss: 0.5480
Epoch 124/150
16/16 [==============================] - 0s 873us/step - loss: 0.5474
Epoch 125/150
16/16 [==============================] - 0s 810us/step - loss: 0.5466
Epoch 126/150
16/16 [==============================] - 0s 873us/step - loss: 0.5461
Epoch 127/150
16/16 [==============================] - 0s 997us/step - loss: 0.5460
Epoch 128/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5460
Epoch 129/150
16/16 [==============================] - 0s 810us/step - loss: 0.5454
Epoch 130/150
16/16 [==============================] - 0s 810us/step - loss: 0.5458
Epoch 131/150
16/16 [==============================] - 0s 873us/step - loss: 0.5455
Epoch 132/150
16/16 [==============================] - 0s 873us/step - loss: 0.5452
Epoch 133/150
16/16 [==============================] - 0s 935us/step - loss: 0.5448
Epoch 134/150
16/16 [==============================] - 0s 935us/step - loss: 0.5440
Epoch 135/150
16/16 [==============================] - 0s 873us/step - loss: 0.5449
Epoch 136/150
16/16 [==============================] - 0s 873us/step - loss: 0.5444
Epoch 137/150
16/16 [==============================] - 0s 873us/step - loss: 0.5437
Epoch 138/150
16/16 [==============================] - 0s 873us/step - loss: 0.5439
Epoch 139/150
16/16 [==============================] - 0s 935us/step - loss: 0.5434
Epoch 140/150
16/16 [==============================] - 0s 935us/step - loss: 0.5429
Epoch 141/150
16/16 [==============================] - 0s 997us/step - loss: 0.5429
Epoch 142/150
16/16 [==============================] - 0s 873us/step - loss: 0.5426
Epoch 143/150
16/16 [==============================] - 0s 935us/step - loss: 0.5429
Epoch 144/150
16/16 [==============================] - 0s 935us/step - loss: 0.5420
Epoch 145/150
16/16 [==============================] - 0s 873us/step - loss: 0.5414
Epoch 146/150
16/16 [==============================] - 0s 935us/step - loss: 0.5421
Epoch 147/150
16/16 [==============================] - 0s 810us/step - loss: 0.5410
Epoch 148/150
16/16 [==============================] - 0s 935us/step - loss: 0.5409
Epoch 149/150
16/16 [==============================] - 0s 810us/step - loss: 0.5411
Epoch 150/150
16/16 [==============================] - 0s 748us/step - loss: 0.5410
###################################################################### Accuracy: 74.21916992329813
Epoch 1/150
16/16 [==============================] - 0s 1ms/step - loss: 0.9862
Epoch 2/150
16/16 [==============================] - 0s 935us/step - loss: 0.9818
Epoch 3/150
16/16 [==============================] - 0s 935us/step - loss: 0.9739
Epoch 4/150
16/16 [==============================] - 0s 935us/step - loss: 0.9601
Epoch 5/150
16/16 [==============================] - 0s 997us/step - loss: 0.9384
Epoch 6/150
16/16 [==============================] - 0s 873us/step - loss: 0.9117
Epoch 7/150
16/16 [==============================] - 0s 810us/step - loss: 0.8799
Epoch 8/150
16/16 [==============================] - 0s 810us/step - loss: 0.8475
Epoch 9/150
16/16 [==============================] - 0s 873us/step - loss: 0.8157
Epoch 10/150
16/16 [==============================] - 0s 810us/step - loss: 0.7844
Epoch 11/150
16/16 [==============================] - 0s 748us/step - loss: 0.7569
Epoch 12/150
16/16 [==============================] - 0s 873us/step - loss: 0.7335
Epoch 13/150
16/16 [==============================] - 0s 935us/step - loss: 0.7146
Epoch 14/150
16/16 [==============================] - 0s 810us/step - loss: 0.6974
Epoch 15/150
16/16 [==============================] - 0s 748us/step - loss: 0.6832
Epoch 16/150
16/16 [==============================] - 0s 873us/step - loss: 0.6733
Epoch 17/150
16/16 [==============================] - 0s 810us/step - loss: 0.6636
Epoch 18/150
16/16 [==============================] - 0s 810us/step - loss: 0.6573
Epoch 19/150
16/16 [==============================] - 0s 873us/step - loss: 0.6522
Epoch 20/150
16/16 [==============================] - 0s 873us/step - loss: 0.6480
Epoch 21/150
16/16 [==============================] - 0s 810us/step - loss: 0.6446
Epoch 22/150
16/16 [==============================] - 0s 810us/step - loss: 0.6441
Epoch 23/150
16/16 [==============================] - 0s 873us/step - loss: 0.6409
Epoch 24/150
16/16 [==============================] - 0s 873us/step - loss: 0.6394
Epoch 25/150
16/16 [==============================] - 0s 873us/step - loss: 0.6365
Epoch 26/150
16/16 [==============================] - 0s 810us/step - loss: 0.6347
Epoch 27/150
16/16 [==============================] - 0s 873us/step - loss: 0.6341
Epoch 28/150
16/16 [==============================] - 0s 873us/step - loss: 0.6319
Epoch 29/150
16/16 [==============================] - 0s 935us/step - loss: 0.6298
Epoch 30/150
16/16 [==============================] - 0s 873us/step - loss: 0.6285
Epoch 31/150
16/16 [==============================] - 0s 810us/step - loss: 0.6275
Epoch 32/150
16/16 [==============================] - 0s 873us/step - loss: 0.6250
Epoch 33/150
16/16 [==============================] - 0s 873us/step - loss: 0.6240
Epoch 34/150
16/16 [==============================] - 0s 811us/step - loss: 0.6225
Epoch 35/150
16/16 [==============================] - 0s 935us/step - loss: 0.6209
Epoch 36/150
16/16 [==============================] - 0s 873us/step - loss: 0.6198
Epoch 37/150
16/16 [==============================] - 0s 935us/step - loss: 0.6188
Epoch 38/150
16/16 [==============================] - 0s 935us/step - loss: 0.6171
Epoch 39/150
16/16 [==============================] - 0s 810us/step - loss: 0.6153
Epoch 40/150
16/16 [==============================] - 0s 810us/step - loss: 0.6145
Epoch 41/150
16/16 [==============================] - 0s 873us/step - loss: 0.6126
Epoch 42/150
16/16 [==============================] - 0s 873us/step - loss: 0.6118
Epoch 43/150
16/16 [==============================] - 0s 810us/step - loss: 0.6105
Epoch 44/150
16/16 [==============================] - 0s 873us/step - loss: 0.6088
Epoch 45/150
16/16 [==============================] - 0s 935us/step - loss: 0.6081
Epoch 46/150
16/16 [==============================] - 0s 873us/step - loss: 0.6067
Epoch 47/150
16/16 [==============================] - 0s 935us/step - loss: 0.6054
Epoch 48/150
16/16 [==============================] - 0s 873us/step - loss: 0.6042
Epoch 49/150
16/16 [==============================] - 0s 810us/step - loss: 0.6034
Epoch 50/150
16/16 [==============================] - 0s 811us/step - loss: 0.6013
Epoch 51/150
16/16 [==============================] - 0s 810us/step - loss: 0.6009
Epoch 52/150
16/16 [==============================] - 0s 935us/step - loss: 0.6000
Epoch 53/150
16/16 [==============================] - 0s 873us/step - loss: 0.5988
Epoch 54/150
16/16 [==============================] - 0s 810us/step - loss: 0.5978
Epoch 55/150
16/16 [==============================] - 0s 935us/step - loss: 0.5975
Epoch 56/150
16/16 [==============================] - 0s 810us/step - loss: 0.5963
Epoch 57/150
16/16 [==============================] - 0s 810us/step - loss: 0.5949
Epoch 58/150
16/16 [==============================] - 0s 935us/step - loss: 0.5943
Epoch 59/150
16/16 [==============================] - 0s 873us/step - loss: 0.5926
Epoch 60/150
16/16 [==============================] - 0s 810us/step - loss: 0.5916
Epoch 61/150
16/16 [==============================] - 0s 873us/step - loss: 0.5913
Epoch 62/150
16/16 [==============================] - 0s 873us/step - loss: 0.5902
Epoch 63/150
16/16 [==============================] - 0s 873us/step - loss: 0.5896
Epoch 64/150
16/16 [==============================] - 0s 748us/step - loss: 0.5884
Epoch 65/150
16/16 [==============================] - 0s 873us/step - loss: 0.5877
Epoch 66/150
16/16 [==============================] - 0s 873us/step - loss: 0.5875
Epoch 67/150
16/16 [==============================] - 0s 810us/step - loss: 0.5865
Epoch 68/150
16/16 [==============================] - 0s 873us/step - loss: 0.5856
Epoch 69/150
16/16 [==============================] - 0s 873us/step - loss: 0.5850
Epoch 70/150
16/16 [==============================] - 0s 873us/step - loss: 0.5844
Epoch 71/150
16/16 [==============================] - 0s 873us/step - loss: 0.5838
Epoch 72/150
16/16 [==============================] - 0s 873us/step - loss: 0.5829
Epoch 73/150
16/16 [==============================] - 0s 810us/step - loss: 0.5827
Epoch 74/150
16/16 [==============================] - 0s 873us/step - loss: 0.5817
Epoch 75/150
16/16 [==============================] - 0s 810us/step - loss: 0.5807
Epoch 76/150
16/16 [==============================] - 0s 748us/step - loss: 0.5813
Epoch 77/150
16/16 [==============================] - 0s 810us/step - loss: 0.5804
Epoch 78/150
16/16 [==============================] - 0s 810us/step - loss: 0.5806
Epoch 79/150
16/16 [==============================] - 0s 873us/step - loss: 0.5788
Epoch 80/150
16/16 [==============================] - 0s 935us/step - loss: 0.5783
Epoch 81/150
16/16 [==============================] - 0s 873us/step - loss: 0.5784
Epoch 82/150
16/16 [==============================] - 0s 935us/step - loss: 0.5778
Epoch 83/150
16/16 [==============================] - 0s 810us/step - loss: 0.5766
Epoch 84/150
16/16 [==============================] - 0s 935us/step - loss: 0.5771
Epoch 85/150
16/16 [==============================] - 0s 873us/step - loss: 0.5773
Epoch 86/150
16/16 [==============================] - 0s 997us/step - loss: 0.5751
Epoch 87/150
16/16 [==============================] - 0s 810us/step - loss: 0.5754
Epoch 88/150
16/16 [==============================] - 0s 873us/step - loss: 0.5750
Epoch 89/150
16/16 [==============================] - 0s 935us/step - loss: 0.5746
Epoch 90/150
16/16 [==============================] - 0s 873us/step - loss: 0.5742
Epoch 91/150
16/16 [==============================] - 0s 935us/step - loss: 0.5734
Epoch 92/150
16/16 [==============================] - 0s 873us/step - loss: 0.5728
Epoch 93/150
16/16 [==============================] - 0s 873us/step - loss: 0.5729
Epoch 94/150
16/16 [==============================] - 0s 873us/step - loss: 0.5732
Epoch 95/150
16/16 [==============================] - 0s 810us/step - loss: 0.5718
Epoch 96/150
16/16 [==============================] - 0s 873us/step - loss: 0.5721
Epoch 97/150
16/16 [==============================] - 0s 873us/step - loss: 0.5712
Epoch 98/150
16/16 [==============================] - 0s 810us/step - loss: 0.5703
Epoch 99/150
16/16 [==============================] - 0s 873us/step - loss: 0.5704
Epoch 100/150
16/16 [==============================] - 0s 873us/step - loss: 0.5704
Epoch 101/150
16/16 [==============================] - 0s 873us/step - loss: 0.5692
Epoch 102/150
16/16 [==============================] - 0s 935us/step - loss: 0.5686
Epoch 103/150
16/16 [==============================] - 0s 935us/step - loss: 0.5691
Epoch 104/150
16/16 [==============================] - 0s 935us/step - loss: 0.5685
Epoch 105/150
16/16 [==============================] - 0s 873us/step - loss: 0.5678
Epoch 106/150
16/16 [==============================] - ETA: 0s - loss: 0.536 - 0s 810us/step - loss: 0.5678
Epoch 107/150
16/16 [==============================] - 0s 810us/step - loss: 0.5683
Epoch 108/150
16/16 [==============================] - 0s 810us/step - loss: 0.5677
Epoch 109/150
16/16 [==============================] - 0s 810us/step - loss: 0.5678
Epoch 110/150
16/16 [==============================] - 0s 873us/step - loss: 0.5661
Epoch 111/150
16/16 [==============================] - 0s 873us/step - loss: 0.5672
Epoch 112/150
16/16 [==============================] - 0s 810us/step - loss: 0.5668
Epoch 113/150
16/16 [==============================] - 0s 935us/step - loss: 0.5666
Epoch 114/150
16/16 [==============================] - 0s 873us/step - loss: 0.5661
Epoch 115/150
16/16 [==============================] - 0s 935us/step - loss: 0.5648
Epoch 116/150
16/16 [==============================] - 0s 810us/step - loss: 0.5666
Epoch 117/150
16/16 [==============================] - 0s 748us/step - loss: 0.5648
Epoch 118/150
16/16 [==============================] - 0s 873us/step - loss: 0.5647
Epoch 119/150
16/16 [==============================] - 0s 935us/step - loss: 0.5643
Epoch 120/150
16/16 [==============================] - 0s 810us/step - loss: 0.5654
Epoch 121/150
16/16 [==============================] - 0s 748us/step - loss: 0.5645
Epoch 122/150
16/16 [==============================] - 0s 873us/step - loss: 0.5637
Epoch 123/150
16/16 [==============================] - 0s 810us/step - loss: 0.5644
Epoch 124/150
16/16 [==============================] - 0s 873us/step - loss: 0.5640
Epoch 125/150
16/16 [==============================] - 0s 873us/step - loss: 0.5630
Epoch 126/150
16/16 [==============================] - 0s 873us/step - loss: 0.5630
Epoch 127/150
16/16 [==============================] - 0s 873us/step - loss: 0.5640
Epoch 128/150
16/16 [==============================] - 0s 873us/step - loss: 0.5633
Epoch 129/150
16/16 [==============================] - 0s 810us/step - loss: 0.5623
Epoch 130/150
16/16 [==============================] - 0s 935us/step - loss: 0.5640
Epoch 131/150
16/16 [==============================] - 0s 873us/step - loss: 0.5621
Epoch 132/150
16/16 [==============================] - 0s 873us/step - loss: 0.5625
Epoch 133/150
16/16 [==============================] - 0s 810us/step - loss: 0.5617
Epoch 134/150
16/16 [==============================] - 0s 873us/step - loss: 0.5623
Epoch 135/150
16/16 [==============================] - 0s 873us/step - loss: 0.5620
Epoch 136/150
16/16 [==============================] - 0s 810us/step - loss: 0.5612
Epoch 137/150
16/16 [==============================] - 0s 873us/step - loss: 0.5616
Epoch 138/150
16/16 [==============================] - 0s 873us/step - loss: 0.5609
Epoch 139/150
16/16 [==============================] - 0s 748us/step - loss: 0.5611
Epoch 140/150
16/16 [==============================] - 0s 810us/step - loss: 0.5609
Epoch 141/150
16/16 [==============================] - 0s 810us/step - loss: 0.5601
Epoch 142/150
16/16 [==============================] - 0s 873us/step - loss: 0.5617
Epoch 143/150
16/16 [==============================] - 0s 935us/step - loss: 0.5598
Epoch 144/150
16/16 [==============================] - 0s 935us/step - loss: 0.5614
Epoch 145/150
16/16 [==============================] - 0s 873us/step - loss: 0.5597
Epoch 146/150
16/16 [==============================] - 0s 873us/step - loss: 0.5601
Epoch 147/150
16/16 [==============================] - 0s 935us/step - loss: 0.5599
Epoch 148/150
16/16 [==============================] - 0s 873us/step - loss: 0.5599
Epoch 149/150
16/16 [==============================] - 0s 873us/step - loss: 0.5602
Epoch 150/150
16/16 [==============================] - 0s 935us/step - loss: 0.5595
###################################################################### Accuracy: 74.52229660998438
Epoch 1/150
16/16 [==============================] - 0s 922us/step - loss: 0.9761
Epoch 2/150
16/16 [==============================] - 0s 935us/step - loss: 0.9720
Epoch 3/150
16/16 [==============================] - 0s 873us/step - loss: 0.9634
Epoch 4/150
16/16 [==============================] - 0s 935us/step - loss: 0.9483
Epoch 5/150
16/16 [==============================] - 0s 873us/step - loss: 0.9274
Epoch 6/150
16/16 [==============================] - 0s 873us/step - loss: 0.9004
Epoch 7/150
16/16 [==============================] - 0s 873us/step - loss: 0.8701
Epoch 8/150
16/16 [==============================] - 0s 748us/step - loss: 0.8383
Epoch 9/150
16/16 [==============================] - 0s 810us/step - loss: 0.8072
Epoch 10/150
16/16 [==============================] - 0s 935us/step - loss: 0.7768
Epoch 11/150
16/16 [==============================] - 0s 873us/step - loss: 0.7506
Epoch 12/150
16/16 [==============================] - 0s 873us/step - loss: 0.7265
Epoch 13/150
16/16 [==============================] - 0s 810us/step - loss: 0.7033
Epoch 14/150
16/16 [==============================] - 0s 810us/step - loss: 0.6838
Epoch 15/150
16/16 [==============================] - 0s 873us/step - loss: 0.6671
Epoch 16/150
16/16 [==============================] - 0s 873us/step - loss: 0.6530
Epoch 17/150
16/16 [==============================] - 0s 935us/step - loss: 0.6420
Epoch 18/150
16/16 [==============================] - 0s 873us/step - loss: 0.6318
Epoch 19/150
16/16 [==============================] - 0s 873us/step - loss: 0.6250
Epoch 20/150
16/16 [==============================] - 0s 935us/step - loss: 0.6200
Epoch 21/150
16/16 [==============================] - 0s 873us/step - loss: 0.6163
Epoch 22/150
16/16 [==============================] - 0s 810us/step - loss: 0.6137
Epoch 23/150
16/16 [==============================] - 0s 873us/step - loss: 0.6099
Epoch 24/150
16/16 [==============================] - 0s 748us/step - loss: 0.6072
Epoch 25/150
16/16 [==============================] - 0s 873us/step - loss: 0.6059
Epoch 26/150
16/16 [==============================] - 0s 810us/step - loss: 0.6039
Epoch 27/150
16/16 [==============================] - 0s 935us/step - loss: 0.6015
Epoch 28/150
16/16 [==============================] - 0s 873us/step - loss: 0.5994
Epoch 29/150
16/16 [==============================] - 0s 873us/step - loss: 0.5965
Epoch 30/150
16/16 [==============================] - 0s 748us/step - loss: 0.5949
Epoch 31/150
16/16 [==============================] - 0s 873us/step - loss: 0.5923
Epoch 32/150
16/16 [==============================] - 0s 935us/step - loss: 0.5906
Epoch 33/150
16/16 [==============================] - 0s 935us/step - loss: 0.5898
Epoch 34/150
16/16 [==============================] - 0s 935us/step - loss: 0.5876
Epoch 35/150
16/16 [==============================] - 0s 810us/step - loss: 0.5860
Epoch 36/150
16/16 [==============================] - 0s 873us/step - loss: 0.5851
Epoch 37/150
16/16 [==============================] - 0s 810us/step - loss: 0.5837
Epoch 38/150
16/16 [==============================] - 0s 935us/step - loss: 0.5829
Epoch 39/150
16/16 [==============================] - 0s 873us/step - loss: 0.5813
Epoch 40/150
16/16 [==============================] - 0s 935us/step - loss: 0.5805
Epoch 41/150
16/16 [==============================] - 0s 935us/step - loss: 0.5790
Epoch 42/150
16/16 [==============================] - 0s 935us/step - loss: 0.5781
Epoch 43/150
16/16 [==============================] - 0s 935us/step - loss: 0.5760
Epoch 44/150
16/16 [==============================] - 0s 873us/step - loss: 0.5748
Epoch 45/150
16/16 [==============================] - 0s 810us/step - loss: 0.5748
Epoch 46/150
16/16 [==============================] - 0s 873us/step - loss: 0.5735
Epoch 47/150
16/16 [==============================] - 0s 997us/step - loss: 0.5733
Epoch 48/150
16/16 [==============================] - 0s 810us/step - loss: 0.5710
Epoch 49/150
16/16 [==============================] - 0s 873us/step - loss: 0.5704
Epoch 50/150
16/16 [==============================] - 0s 810us/step - loss: 0.5695
Epoch 51/150
16/16 [==============================] - 0s 873us/step - loss: 0.5679
Epoch 52/150
16/16 [==============================] - 0s 935us/step - loss: 0.5673
Epoch 53/150
16/16 [==============================] - 0s 810us/step - loss: 0.5670
Epoch 54/150
16/16 [==============================] - 0s 873us/step - loss: 0.5660
Epoch 55/150
16/16 [==============================] - 0s 748us/step - loss: 0.5652
Epoch 56/150
16/16 [==============================] - 0s 810us/step - loss: 0.5643
Epoch 57/150
16/16 [==============================] - 0s 935us/step - loss: 0.5637
Epoch 58/150
16/16 [==============================] - 0s 873us/step - loss: 0.5627
Epoch 59/150
16/16 [==============================] - 0s 748us/step - loss: 0.5626
Epoch 60/150
16/16 [==============================] - 0s 873us/step - loss: 0.5623
Epoch 61/150
16/16 [==============================] - 0s 873us/step - loss: 0.5613
Epoch 62/150
16/16 [==============================] - 0s 873us/step - loss: 0.5602
Epoch 63/150
16/16 [==============================] - 0s 873us/step - loss: 0.5599
Epoch 64/150
16/16 [==============================] - 0s 873us/step - loss: 0.5592
Epoch 65/150
16/16 [==============================] - 0s 873us/step - loss: 0.5598
Epoch 66/150
16/16 [==============================] - 0s 748us/step - loss: 0.5573
Epoch 67/150
16/16 [==============================] - 0s 810us/step - loss: 0.5577
Epoch 68/150
16/16 [==============================] - 0s 873us/step - loss: 0.5571
Epoch 69/150
16/16 [==============================] - 0s 935us/step - loss: 0.5574
Epoch 70/150
16/16 [==============================] - 0s 873us/step - loss: 0.5558
Epoch 71/150
16/16 [==============================] - 0s 810us/step - loss: 0.5560
Epoch 72/150
16/16 [==============================] - 0s 873us/step - loss: 0.5559
Epoch 73/150
16/16 [==============================] - 0s 873us/step - loss: 0.5551
Epoch 74/150
16/16 [==============================] - 0s 810us/step - loss: 0.5545
Epoch 75/150
16/16 [==============================] - 0s 935us/step - loss: 0.5542
Epoch 76/150
16/16 [==============================] - 0s 810us/step - loss: 0.5544
Epoch 77/150
16/16 [==============================] - 0s 935us/step - loss: 0.5530
Epoch 78/150
16/16 [==============================] - 0s 873us/step - loss: 0.5540
Epoch 79/150
16/16 [==============================] - 0s 873us/step - loss: 0.5535
Epoch 80/150
16/16 [==============================] - 0s 873us/step - loss: 0.5524
Epoch 81/150
16/16 [==============================] - 0s 748us/step - loss: 0.5519
Epoch 82/150
16/16 [==============================] - 0s 873us/step - loss: 0.5517
Epoch 83/150
16/16 [==============================] - 0s 873us/step - loss: 0.5516
Epoch 84/150
16/16 [==============================] - 0s 935us/step - loss: 0.5513
Epoch 85/150
16/16 [==============================] - 0s 935us/step - loss: 0.5511
Epoch 86/150
16/16 [==============================] - 0s 935us/step - loss: 0.5506
Epoch 87/150
16/16 [==============================] - 0s 873us/step - loss: 0.5504
Epoch 88/150
16/16 [==============================] - 0s 935us/step - loss: 0.5498
Epoch 89/150
16/16 [==============================] - 0s 935us/step - loss: 0.5495
Epoch 90/150
16/16 [==============================] - 0s 873us/step - loss: 0.5509
Epoch 91/150
16/16 [==============================] - 0s 873us/step - loss: 0.5489
Epoch 92/150
16/16 [==============================] - 0s 810us/step - loss: 0.5489
Epoch 93/150
16/16 [==============================] - 0s 810us/step - loss: 0.5489
Epoch 94/150
16/16 [==============================] - 0s 873us/step - loss: 0.5487
Epoch 95/150
16/16 [==============================] - 0s 997us/step - loss: 0.5480
Epoch 96/150
16/16 [==============================] - 0s 873us/step - loss: 0.5484
Epoch 97/150
16/16 [==============================] - 0s 873us/step - loss: 0.5478
Epoch 98/150
16/16 [==============================] - 0s 935us/step - loss: 0.5476
Epoch 99/150
16/16 [==============================] - 0s 935us/step - loss: 0.5469
Epoch 100/150
16/16 [==============================] - 0s 935us/step - loss: 0.5468
Epoch 101/150
16/16 [==============================] - 0s 935us/step - loss: 0.5469
Epoch 102/150
16/16 [==============================] - 0s 810us/step - loss: 0.5462
Epoch 103/150
16/16 [==============================] - 0s 873us/step - loss: 0.5456
Epoch 104/150
16/16 [==============================] - 0s 873us/step - loss: 0.5461
Epoch 105/150
16/16 [==============================] - 0s 935us/step - loss: 0.5462
Epoch 106/150
16/16 [==============================] - 0s 810us/step - loss: 0.5450
Epoch 107/150
16/16 [==============================] - 0s 810us/step - loss: 0.5460
Epoch 108/150
16/16 [==============================] - 0s 810us/step - loss: 0.5452
Epoch 109/150
16/16 [==============================] - 0s 810us/step - loss: 0.5451
Epoch 110/150
16/16 [==============================] - 0s 935us/step - loss: 0.5455
Epoch 111/150
16/16 [==============================] - 0s 810us/step - loss: 0.5450
Epoch 112/150
16/16 [==============================] - 0s 810us/step - loss: 0.5441
Epoch 113/150
16/16 [==============================] - 0s 873us/step - loss: 0.5441
Epoch 114/150
16/16 [==============================] - 0s 873us/step - loss: 0.5441
Epoch 115/150
16/16 [==============================] - 0s 873us/step - loss: 0.5441
Epoch 116/150
16/16 [==============================] - 0s 810us/step - loss: 0.5435
Epoch 117/150
16/16 [==============================] - 0s 810us/step - loss: 0.5443
Epoch 118/150
16/16 [==============================] - 0s 935us/step - loss: 0.5432
Epoch 119/150
16/16 [==============================] - 0s 873us/step - loss: 0.5433
Epoch 120/150
16/16 [==============================] - 0s 810us/step - loss: 0.5430
Epoch 121/150
16/16 [==============================] - 0s 873us/step - loss: 0.5428
Epoch 122/150
16/16 [==============================] - 0s 810us/step - loss: 0.5425
Epoch 123/150
16/16 [==============================] - 0s 873us/step - loss: 0.5431
Epoch 124/150
16/16 [==============================] - 0s 810us/step - loss: 0.5418
Epoch 125/150
16/16 [==============================] - 0s 873us/step - loss: 0.5423
Epoch 126/150
16/16 [==============================] - 0s 935us/step - loss: 0.5421
Epoch 127/150
16/16 [==============================] - 0s 873us/step - loss: 0.5419
Epoch 128/150
16/16 [==============================] - 0s 810us/step - loss: 0.5414
Epoch 129/150
16/16 [==============================] - 0s 935us/step - loss: 0.5414
Epoch 130/150
16/16 [==============================] - 0s 810us/step - loss: 0.5399
Epoch 131/150
16/16 [==============================] - 0s 810us/step - loss: 0.5413
Epoch 132/150
16/16 [==============================] - 0s 873us/step - loss: 0.5410
Epoch 133/150
16/16 [==============================] - 0s 810us/step - loss: 0.5402
Epoch 134/150
16/16 [==============================] - 0s 810us/step - loss: 0.5395
Epoch 135/150
16/16 [==============================] - 0s 935us/step - loss: 0.5412
Epoch 136/150
16/16 [==============================] - 0s 935us/step - loss: 0.5405
Epoch 137/150
16/16 [==============================] - 0s 873us/step - loss: 0.5397
Epoch 138/150
16/16 [==============================] - 0s 935us/step - loss: 0.5391
Epoch 139/150
16/16 [==============================] - 0s 873us/step - loss: 0.5397
Epoch 140/150
16/16 [==============================] - 0s 873us/step - loss: 0.5396
Epoch 141/150
16/16 [==============================] - 0s 810us/step - loss: 0.5395
Epoch 142/150
16/16 [==============================] - 0s 873us/step - loss: 0.5393
Epoch 143/150
16/16 [==============================] - 0s 810us/step - loss: 0.5390
Epoch 144/150
16/16 [==============================] - 0s 935us/step - loss: 0.5385
Epoch 145/150
16/16 [==============================] - 0s 873us/step - loss: 0.5380
Epoch 146/150
16/16 [==============================] - 0s 748us/step - loss: 0.5389
Epoch 147/150
16/16 [==============================] - 0s 935us/step - loss: 0.5383
Epoch 148/150
16/16 [==============================] - 0s 811us/step - loss: 0.5382
Epoch 149/150
16/16 [==============================] - 0s 748us/step - loss: 0.5370
Epoch 150/150
16/16 [==============================] - 0s 873us/step - loss: 0.5375
###################################################################### Accuracy: 89.121306493347
Epoch 1/150
16/16 [==============================] - 0s 873us/step - loss: 1.0185
Epoch 2/150
16/16 [==============================] - 0s 872us/step - loss: 1.0148
Epoch 3/150
16/16 [==============================] - 0s 873us/step - loss: 1.0075
Epoch 4/150
16/16 [==============================] - 0s 935us/step - loss: 0.9949
Epoch 5/150
16/16 [==============================] - 0s 810us/step - loss: 0.9783
Epoch 6/150
16/16 [==============================] - 0s 810us/step - loss: 0.9564
Epoch 7/150
16/16 [==============================] - 0s 935us/step - loss: 0.9302
Epoch 8/150
16/16 [==============================] - 0s 810us/step - loss: 0.8995
Epoch 9/150
16/16 [==============================] - 0s 873us/step - loss: 0.8672
Epoch 10/150
16/16 [==============================] - 0s 873us/step - loss: 0.8338
Epoch 11/150
16/16 [==============================] - 0s 873us/step - loss: 0.8006
Epoch 12/150
16/16 [==============================] - 0s 873us/step - loss: 0.7722
Epoch 13/150
16/16 [==============================] - 0s 873us/step - loss: 0.7454
Epoch 14/150
16/16 [==============================] - 0s 935us/step - loss: 0.7252
Epoch 15/150
16/16 [==============================] - 0s 810us/step - loss: 0.7053
Epoch 16/150
16/16 [==============================] - 0s 748us/step - loss: 0.6884
Epoch 17/150
16/16 [==============================] - 0s 873us/step - loss: 0.6736
Epoch 18/150
16/16 [==============================] - 0s 873us/step - loss: 0.6633
Epoch 19/150
16/16 [==============================] - 0s 810us/step - loss: 0.6550
Epoch 20/150
16/16 [==============================] - 0s 873us/step - loss: 0.6486
Epoch 21/150
16/16 [==============================] - 0s 935us/step - loss: 0.6437
Epoch 22/150
16/16 [==============================] - 0s 873us/step - loss: 0.6409
Epoch 23/150
16/16 [==============================] - 0s 810us/step - loss: 0.6380
Epoch 24/150
16/16 [==============================] - 0s 810us/step - loss: 0.6357
Epoch 25/150
16/16 [==============================] - 0s 873us/step - loss: 0.6334
Epoch 26/150
16/16 [==============================] - 0s 873us/step - loss: 0.6319
Epoch 27/150
16/16 [==============================] - 0s 873us/step - loss: 0.6302
Epoch 28/150
16/16 [==============================] - 0s 873us/step - loss: 0.6287
Epoch 29/150
16/16 [==============================] - 0s 873us/step - loss: 0.6275
Epoch 30/150
16/16 [==============================] - 0s 810us/step - loss: 0.6257
Epoch 31/150
16/16 [==============================] - 0s 873us/step - loss: 0.6240
Epoch 32/150
16/16 [==============================] - 0s 873us/step - loss: 0.6227
Epoch 33/150
16/16 [==============================] - 0s 873us/step - loss: 0.6213
Epoch 34/150
16/16 [==============================] - 0s 810us/step - loss: 0.6199
Epoch 35/150
16/16 [==============================] - 0s 873us/step - loss: 0.6184
Epoch 36/150
16/16 [==============================] - 0s 873us/step - loss: 0.6165
Epoch 37/150
16/16 [==============================] - 0s 810us/step - loss: 0.6160
Epoch 38/150
16/16 [==============================] - 0s 748us/step - loss: 0.6143
Epoch 39/150
16/16 [==============================] - 0s 810us/step - loss: 0.6138
Epoch 40/150
16/16 [==============================] - 0s 810us/step - loss: 0.6125
Epoch 41/150
16/16 [==============================] - 0s 873us/step - loss: 0.6114
Epoch 42/150
16/16 [==============================] - 0s 873us/step - loss: 0.6103
Epoch 43/150
16/16 [==============================] - 0s 873us/step - loss: 0.6088
Epoch 44/150
16/16 [==============================] - 0s 997us/step - loss: 0.6091
Epoch 45/150
16/16 [==============================] - 0s 935us/step - loss: 0.6077
Epoch 46/150
16/16 [==============================] - 0s 810us/step - loss: 0.6065
Epoch 47/150
16/16 [==============================] - 0s 873us/step - loss: 0.6052
Epoch 48/150
16/16 [==============================] - 0s 811us/step - loss: 0.6044
Epoch 49/150
16/16 [==============================] - 0s 810us/step - loss: 0.6039
Epoch 50/150
16/16 [==============================] - 0s 873us/step - loss: 0.6033
Epoch 51/150
16/16 [==============================] - 0s 810us/step - loss: 0.6019
Epoch 52/150
16/16 [==============================] - 0s 810us/step - loss: 0.6017
Epoch 53/150
16/16 [==============================] - 0s 810us/step - loss: 0.6009
Epoch 54/150
16/16 [==============================] - 0s 748us/step - loss: 0.6003
Epoch 55/150
16/16 [==============================] - 0s 935us/step - loss: 0.5992
Epoch 56/150
16/16 [==============================] - 0s 873us/step - loss: 0.5983
Epoch 57/150
16/16 [==============================] - 0s 748us/step - loss: 0.5980
Epoch 58/150
16/16 [==============================] - 0s 873us/step - loss: 0.5975
Epoch 59/150
16/16 [==============================] - 0s 935us/step - loss: 0.5960
Epoch 60/150
16/16 [==============================] - 0s 810us/step - loss: 0.5959
Epoch 61/150
16/16 [==============================] - 0s 935us/step - loss: 0.5947
Epoch 62/150
16/16 [==============================] - 0s 810us/step - loss: 0.5944
Epoch 63/150
16/16 [==============================] - 0s 810us/step - loss: 0.5937
Epoch 64/150
16/16 [==============================] - 0s 873us/step - loss: 0.5931
Epoch 65/150
16/16 [==============================] - 0s 873us/step - loss: 0.5926
Epoch 66/150
16/16 [==============================] - 0s 810us/step - loss: 0.5916
Epoch 67/150
16/16 [==============================] - 0s 873us/step - loss: 0.5912
Epoch 68/150
16/16 [==============================] - 0s 810us/step - loss: 0.5904
Epoch 69/150
16/16 [==============================] - 0s 810us/step - loss: 0.5890
Epoch 70/150
16/16 [==============================] - 0s 810us/step - loss: 0.5884
Epoch 71/150
16/16 [==============================] - 0s 873us/step - loss: 0.5872
Epoch 72/150
16/16 [==============================] - 0s 873us/step - loss: 0.5874
Epoch 73/150
16/16 [==============================] - 0s 810us/step - loss: 0.5864
Epoch 74/150
16/16 [==============================] - 0s 748us/step - loss: 0.5857
Epoch 75/150
16/16 [==============================] - 0s 873us/step - loss: 0.5849
Epoch 76/150
16/16 [==============================] - 0s 810us/step - loss: 0.5843
Epoch 77/150
16/16 [==============================] - 0s 873us/step - loss: 0.5838
Epoch 78/150
16/16 [==============================] - 0s 873us/step - loss: 0.5837
Epoch 79/150
16/16 [==============================] - 0s 873us/step - loss: 0.5826
Epoch 80/150
16/16 [==============================] - 0s 810us/step - loss: 0.5827
Epoch 81/150
16/16 [==============================] - 0s 935us/step - loss: 0.5811
Epoch 82/150
16/16 [==============================] - 0s 935us/step - loss: 0.5808
Epoch 83/150
16/16 [==============================] - 0s 873us/step - loss: 0.5808
Epoch 84/150
16/16 [==============================] - 0s 873us/step - loss: 0.5800
Epoch 85/150
16/16 [==============================] - 0s 873us/step - loss: 0.5807
Epoch 86/150
16/16 [==============================] - 0s 873us/step - loss: 0.5786
Epoch 87/150
16/16 [==============================] - 0s 873us/step - loss: 0.5783
Epoch 88/150
16/16 [==============================] - ETA: 0s - loss: 0.559 - 0s 810us/step - loss: 0.5780
Epoch 89/150
16/16 [==============================] - 0s 935us/step - loss: 0.5777
Epoch 90/150
16/16 [==============================] - 0s 935us/step - loss: 0.5766
Epoch 91/150
16/16 [==============================] - 0s 873us/step - loss: 0.5762
Epoch 92/150
16/16 [==============================] - 0s 935us/step - loss: 0.5761
Epoch 93/150
16/16 [==============================] - 0s 935us/step - loss: 0.5757
Epoch 94/150
16/16 [==============================] - 0s 935us/step - loss: 0.5749
Epoch 95/150
16/16 [==============================] - 0s 873us/step - loss: 0.5745
Epoch 96/150
16/16 [==============================] - 0s 810us/step - loss: 0.5738
Epoch 97/150
16/16 [==============================] - 0s 935us/step - loss: 0.5735
Epoch 98/150
16/16 [==============================] - 0s 810us/step - loss: 0.5738
Epoch 99/150
16/16 [==============================] - 0s 935us/step - loss: 0.5734
Epoch 100/150
16/16 [==============================] - 0s 748us/step - loss: 0.5727
Epoch 101/150
16/16 [==============================] - 0s 873us/step - loss: 0.5722
Epoch 102/150
16/16 [==============================] - 0s 935us/step - loss: 0.5714
Epoch 103/150
16/16 [==============================] - 0s 810us/step - loss: 0.5720
Epoch 104/150
16/16 [==============================] - 0s 873us/step - loss: 0.5714
Epoch 105/150
16/16 [==============================] - 0s 873us/step - loss: 0.5710
Epoch 106/150
16/16 [==============================] - 0s 810us/step - loss: 0.5703
Epoch 107/150
16/16 [==============================] - 0s 810us/step - loss: 0.5702
Epoch 108/150
16/16 [==============================] - 0s 873us/step - loss: 0.5701
Epoch 109/150
16/16 [==============================] - 0s 748us/step - loss: 0.5697
Epoch 110/150
16/16 [==============================] - 0s 935us/step - loss: 0.5700
Epoch 111/150
16/16 [==============================] - 0s 935us/step - loss: 0.5694
Epoch 112/150
16/16 [==============================] - 0s 873us/step - loss: 0.5683
Epoch 113/150
16/16 [==============================] - 0s 873us/step - loss: 0.5685
Epoch 114/150
16/16 [==============================] - 0s 873us/step - loss: 0.5686
Epoch 115/150
16/16 [==============================] - 0s 873us/step - loss: 0.5679
Epoch 116/150
16/16 [==============================] - 0s 873us/step - loss: 0.5672
Epoch 117/150
16/16 [==============================] - 0s 873us/step - loss: 0.5672
Epoch 118/150
16/16 [==============================] - 0s 935us/step - loss: 0.5671
Epoch 119/150
16/16 [==============================] - 0s 810us/step - loss: 0.5670
Epoch 120/150
16/16 [==============================] - 0s 873us/step - loss: 0.5663
Epoch 121/150
16/16 [==============================] - 0s 810us/step - loss: 0.5671
Epoch 122/150
16/16 [==============================] - 0s 810us/step - loss: 0.5663
Epoch 123/150
16/16 [==============================] - 0s 873us/step - loss: 0.5657
Epoch 124/150
16/16 [==============================] - 0s 935us/step - loss: 0.5652
Epoch 125/150
16/16 [==============================] - 0s 873us/step - loss: 0.5649
Epoch 126/150
16/16 [==============================] - 0s 873us/step - loss: 0.5658
Epoch 127/150
16/16 [==============================] - 0s 935us/step - loss: 0.5643
Epoch 128/150
16/16 [==============================] - 0s 873us/step - loss: 0.5641
Epoch 129/150
16/16 [==============================] - 0s 935us/step - loss: 0.5646
Epoch 130/150
16/16 [==============================] - 0s 810us/step - loss: 0.5644
Epoch 131/150
16/16 [==============================] - 0s 873us/step - loss: 0.5641
Epoch 132/150
16/16 [==============================] - 0s 873us/step - loss: 0.5629
Epoch 133/150
16/16 [==============================] - 0s 873us/step - loss: 0.5631
Epoch 134/150
16/16 [==============================] - 0s 810us/step - loss: 0.5627
Epoch 135/150
16/16 [==============================] - 0s 810us/step - loss: 0.5625
Epoch 136/150
16/16 [==============================] - 0s 873us/step - loss: 0.5617
Epoch 137/150
16/16 [==============================] - 0s 810us/step - loss: 0.5621
Epoch 138/150
16/16 [==============================] - 0s 935us/step - loss: 0.5623
Epoch 139/150
16/16 [==============================] - 0s 935us/step - loss: 0.5615
Epoch 140/150
16/16 [==============================] - 0s 810us/step - loss: 0.5610
Epoch 141/150
16/16 [==============================] - 0s 810us/step - loss: 0.5613
Epoch 142/150
16/16 [==============================] - 0s 810us/step - loss: 0.5607
Epoch 143/150
16/16 [==============================] - 0s 810us/step - loss: 0.5606
Epoch 144/150
16/16 [==============================] - 0s 810us/step - loss: 0.5601
Epoch 145/150
16/16 [==============================] - 0s 935us/step - loss: 0.5601
Epoch 146/150
16/16 [==============================] - 0s 810us/step - loss: 0.5601
Epoch 147/150
16/16 [==============================] - 0s 935us/step - loss: 0.5594
Epoch 148/150
16/16 [==============================] - 0s 873us/step - loss: 0.5592
Epoch 149/150
16/16 [==============================] - 0s 810us/step - loss: 0.5592
Epoch 150/150
16/16 [==============================] - 0s 935us/step - loss: 0.5594
###################################################################### Accuracy: 73.47193951273594
Epoch 1/150
 1/16 [>.............................] - ETA: 0s - loss: 1.0173WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
16/16 [==============================] - 0s 935us/step - loss: 0.9975
Epoch 2/150
16/16 [==============================] - 0s 935us/step - loss: 0.9861
Epoch 3/150
16/16 [==============================] - 0s 935us/step - loss: 0.9704
Epoch 4/150
16/16 [==============================] - 0s 873us/step - loss: 0.9494
Epoch 5/150
16/16 [==============================] - 0s 935us/step - loss: 0.9228
Epoch 6/150
16/16 [==============================] - 0s 873us/step - loss: 0.8924
Epoch 7/150
16/16 [==============================] - 0s 810us/step - loss: 0.8601
Epoch 8/150
16/16 [==============================] - 0s 810us/step - loss: 0.8235
Epoch 9/150
16/16 [==============================] - 0s 810us/step - loss: 0.7878
Epoch 10/150
16/16 [==============================] - 0s 997us/step - loss: 0.7547
Epoch 11/150
16/16 [==============================] - 0s 873us/step - loss: 0.7288
Epoch 12/150
16/16 [==============================] - 0s 810us/step - loss: 0.7069
Epoch 13/150
16/16 [==============================] - 0s 935us/step - loss: 0.6893
Epoch 14/150
16/16 [==============================] - 0s 873us/step - loss: 0.6755
Epoch 15/150
16/16 [==============================] - 0s 935us/step - loss: 0.6643
Epoch 16/150
16/16 [==============================] - 0s 810us/step - loss: 0.6554
Epoch 17/150
16/16 [==============================] - 0s 935us/step - loss: 0.6485
Epoch 18/150
16/16 [==============================] - 0s 810us/step - loss: 0.6436
Epoch 19/150
16/16 [==============================] - 0s 935us/step - loss: 0.6400
Epoch 20/150
16/16 [==============================] - 0s 873us/step - loss: 0.6378
Epoch 21/150
16/16 [==============================] - 0s 873us/step - loss: 0.6341
Epoch 22/150
16/16 [==============================] - 0s 935us/step - loss: 0.6321
Epoch 23/150
16/16 [==============================] - 0s 935us/step - loss: 0.6299
Epoch 24/150
16/16 [==============================] - 0s 935us/step - loss: 0.6283
Epoch 25/150
16/16 [==============================] - 0s 873us/step - loss: 0.6261
Epoch 26/150
16/16 [==============================] - 0s 873us/step - loss: 0.6243
Epoch 27/150
16/16 [==============================] - 0s 873us/step - loss: 0.6212
Epoch 28/150
16/16 [==============================] - 0s 873us/step - loss: 0.6202
Epoch 29/150
16/16 [==============================] - 0s 935us/step - loss: 0.6182
Epoch 30/150
16/16 [==============================] - 0s 873us/step - loss: 0.6161
Epoch 31/150
16/16 [==============================] - 0s 810us/step - loss: 0.6147
Epoch 32/150
16/16 [==============================] - 0s 873us/step - loss: 0.6136
Epoch 33/150
16/16 [==============================] - 0s 810us/step - loss: 0.6117
Epoch 34/150
16/16 [==============================] - 0s 873us/step - loss: 0.6103
Epoch 35/150
16/16 [==============================] - 0s 935us/step - loss: 0.6087
Epoch 36/150
16/16 [==============================] - 0s 810us/step - loss: 0.6072
Epoch 37/150
16/16 [==============================] - 0s 873us/step - loss: 0.6063
Epoch 38/150
16/16 [==============================] - 0s 873us/step - loss: 0.6049
Epoch 39/150
16/16 [==============================] - 0s 748us/step - loss: 0.6036
Epoch 40/150
16/16 [==============================] - 0s 810us/step - loss: 0.6022
Epoch 41/150
16/16 [==============================] - 0s 873us/step - loss: 0.6007
Epoch 42/150
16/16 [==============================] - 0s 748us/step - loss: 0.6005
Epoch 43/150
16/16 [==============================] - 0s 873us/step - loss: 0.5983
Epoch 44/150
16/16 [==============================] - 0s 873us/step - loss: 0.5975
Epoch 45/150
16/16 [==============================] - 0s 810us/step - loss: 0.5965
Epoch 46/150
16/16 [==============================] - 0s 873us/step - loss: 0.5959
Epoch 47/150
16/16 [==============================] - 0s 810us/step - loss: 0.5948
Epoch 48/150
16/16 [==============================] - 0s 873us/step - loss: 0.5931
Epoch 49/150
16/16 [==============================] - 0s 810us/step - loss: 0.5931
Epoch 50/150
16/16 [==============================] - 0s 810us/step - loss: 0.5923
Epoch 51/150
16/16 [==============================] - 0s 873us/step - loss: 0.5909
Epoch 52/150
16/16 [==============================] - 0s 873us/step - loss: 0.5911
Epoch 53/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5896
Epoch 54/150
16/16 [==============================] - 0s 997us/step - loss: 0.5885
Epoch 55/150
16/16 [==============================] - 0s 810us/step - loss: 0.5870
Epoch 56/150
16/16 [==============================] - 0s 935us/step - loss: 0.5875
Epoch 57/150
16/16 [==============================] - 0s 873us/step - loss: 0.5869
Epoch 58/150
16/16 [==============================] - 0s 873us/step - loss: 0.5855
Epoch 59/150
16/16 [==============================] - 0s 2ms/step - loss: 0.5850
Epoch 60/150
16/16 [==============================] - 0s 997us/step - loss: 0.5842
Epoch 61/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5832
Epoch 62/150
16/16 [==============================] - 0s 873us/step - loss: 0.5829
Epoch 63/150
16/16 [==============================] - 0s 873us/step - loss: 0.5816
Epoch 64/150
16/16 [==============================] - 0s 873us/step - loss: 0.5812
Epoch 65/150
16/16 [==============================] - 0s 873us/step - loss: 0.5802
Epoch 66/150
16/16 [==============================] - 0s 873us/step - loss: 0.5788
Epoch 67/150
16/16 [==============================] - 0s 873us/step - loss: 0.5780
Epoch 68/150
16/16 [==============================] - 0s 873us/step - loss: 0.5781
Epoch 69/150
16/16 [==============================] - 0s 811us/step - loss: 0.5768
Epoch 70/150
16/16 [==============================] - 0s 997us/step - loss: 0.5760
Epoch 71/150
16/16 [==============================] - 0s 935us/step - loss: 0.5747
Epoch 72/150
16/16 [==============================] - 0s 935us/step - loss: 0.5744
Epoch 73/150
16/16 [==============================] - 0s 935us/step - loss: 0.5736
Epoch 74/150
16/16 [==============================] - 0s 2ms/step - loss: 0.5727
Epoch 75/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5717
Epoch 76/150
16/16 [==============================] - 0s 935us/step - loss: 0.5720
Epoch 77/150
16/16 [==============================] - 0s 810us/step - loss: 0.5709
Epoch 78/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5702
Epoch 79/150
16/16 [==============================] - 0s 935us/step - loss: 0.5693
Epoch 80/150
16/16 [==============================] - 0s 935us/step - loss: 0.5694
Epoch 81/150
16/16 [==============================] - 0s 873us/step - loss: 0.5686
Epoch 82/150
16/16 [==============================] - 0s 873us/step - loss: 0.5676
Epoch 83/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5674
Epoch 84/150
16/16 [==============================] - 0s 997us/step - loss: 0.5662
Epoch 85/150
16/16 [==============================] - 0s 935us/step - loss: 0.5661
Epoch 86/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5651
Epoch 87/150
16/16 [==============================] - 0s 873us/step - loss: 0.5648
Epoch 88/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5640
Epoch 89/150
16/16 [==============================] - 0s 935us/step - loss: 0.5636
Epoch 90/150
16/16 [==============================] - 0s 935us/step - loss: 0.5637
Epoch 91/150
16/16 [==============================] - 0s 997us/step - loss: 0.5627
Epoch 92/150
16/16 [==============================] - 0s 873us/step - loss: 0.5622
Epoch 93/150
16/16 [==============================] - 0s 873us/step - loss: 0.5623
Epoch 94/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5620
Epoch 95/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5616
Epoch 96/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5606
Epoch 97/150
16/16 [==============================] - 0s 997us/step - loss: 0.5601
Epoch 98/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5610
Epoch 99/150
16/16 [==============================] - 0s 873us/step - loss: 0.5595
Epoch 100/150
16/16 [==============================] - 0s 997us/step - loss: 0.5591
Epoch 101/150
16/16 [==============================] - 0s 873us/step - loss: 0.5589
Epoch 102/150
16/16 [==============================] - 0s 935us/step - loss: 0.5585
Epoch 103/150
16/16 [==============================] - 0s 810us/step - loss: 0.5578
Epoch 104/150
16/16 [==============================] - 0s 810us/step - loss: 0.5580
Epoch 105/150
16/16 [==============================] - 0s 873us/step - loss: 0.5572
Epoch 106/150
16/16 [==============================] - 0s 810us/step - loss: 0.5573
Epoch 107/150
16/16 [==============================] - 0s 873us/step - loss: 0.5567
Epoch 108/150
16/16 [==============================] - 0s 810us/step - loss: 0.5563
Epoch 109/150
16/16 [==============================] - 0s 810us/step - loss: 0.5561
Epoch 110/150
16/16 [==============================] - 0s 873us/step - loss: 0.5552
Epoch 111/150
16/16 [==============================] - 0s 810us/step - loss: 0.5551
Epoch 112/150
16/16 [==============================] - 0s 810us/step - loss: 0.5553
Epoch 113/150
16/16 [==============================] - 0s 873us/step - loss: 0.5551
Epoch 114/150
16/16 [==============================] - 0s 748us/step - loss: 0.5540
Epoch 115/150
16/16 [==============================] - 0s 935us/step - loss: 0.5538
Epoch 116/150
16/16 [==============================] - 0s 935us/step - loss: 0.5535
Epoch 117/150
16/16 [==============================] - 0s 935us/step - loss: 0.5529
Epoch 118/150
16/16 [==============================] - 0s 873us/step - loss: 0.5529
Epoch 119/150
16/16 [==============================] - 0s 1ms/step - loss: 0.5534
Epoch 120/150
16/16 [==============================] - 0s 810us/step - loss: 0.5529
Epoch 121/150
16/16 [==============================] - 0s 935us/step - loss: 0.5522
Epoch 122/150
16/16 [==============================] - 0s 935us/step - loss: 0.5519
Epoch 123/150
16/16 [==============================] - 0s 935us/step - loss: 0.5517
Epoch 124/150
16/16 [==============================] - 0s 810us/step - loss: 0.5517
Epoch 125/150
16/16 [==============================] - 0s 873us/step - loss: 0.5518
Epoch 126/150
16/16 [==============================] - 0s 997us/step - loss: 0.5507
Epoch 127/150
16/16 [==============================] - 0s 873us/step - loss: 0.5502
Epoch 128/150
16/16 [==============================] - 0s 935us/step - loss: 0.5497
Epoch 129/150
16/16 [==============================] - 0s 873us/step - loss: 0.5506
Epoch 130/150
16/16 [==============================] - 0s 873us/step - loss: 0.5495
Epoch 131/150
16/16 [==============================] - 0s 935us/step - loss: 0.5497
Epoch 132/150
16/16 [==============================] - 0s 873us/step - loss: 0.5490
Epoch 133/150
16/16 [==============================] - ETA: 0s - loss: 0.499 - 0s 873us/step - loss: 0.5496
Epoch 134/150
16/16 [==============================] - 0s 935us/step - loss: 0.5483
Epoch 135/150
16/16 [==============================] - 0s 935us/step - loss: 0.5481
Epoch 136/150
16/16 [==============================] - 0s 935us/step - loss: 0.5484
Epoch 137/150
16/16 [==============================] - 0s 873us/step - loss: 0.5476
Epoch 138/150
16/16 [==============================] - 0s 873us/step - loss: 0.5479
Epoch 139/150
16/16 [==============================] - 0s 810us/step - loss: 0.5476
Epoch 140/150
16/16 [==============================] - 0s 810us/step - loss: 0.5465
Epoch 141/150
16/16 [==============================] - 0s 810us/step - loss: 0.5471
Epoch 142/150
16/16 [==============================] - 0s 810us/step - loss: 0.5473
Epoch 143/150
16/16 [==============================] - 0s 935us/step - loss: 0.5469
Epoch 144/150
16/16 [==============================] - 0s 873us/step - loss: 0.5465
Epoch 145/150
16/16 [==============================] - 0s 873us/step - loss: 0.5465
Epoch 146/150
16/16 [==============================] - 0s 935us/step - loss: 0.5462
Epoch 147/150
16/16 [==============================] - 0s 935us/step - loss: 0.5455
Epoch 148/150
16/16 [==============================] - 0s 873us/step - loss: 0.5450
Epoch 149/150
16/16 [==============================] - 0s 873us/step - loss: 0.5454
Epoch 150/150
16/16 [==============================] - 0s 873us/step - loss: 0.5445
###################################################################### Accuracy: 74.47169422266317
Epoch 1/10
13/13 [==============================] - 0s 921us/step - loss: 1.0171
Epoch 2/10
13/13 [==============================] - 0s 997us/step - loss: 1.0114
Epoch 3/10
13/13 [==============================] - 0s 1ms/step - loss: 1.0026
Epoch 4/10
13/13 [==============================] - 0s 844us/step - loss: 0.9891
Epoch 5/10
13/13 [==============================] - 0s 997us/step - loss: 0.9712
Epoch 6/10
13/13 [==============================] - 0s 921us/step - loss: 0.9495
Epoch 7/10
13/13 [==============================] - 0s 920us/step - loss: 0.9252
Epoch 8/10
13/13 [==============================] - 0s 997us/step - loss: 0.8969
Epoch 9/10
13/13 [==============================] - 0s 844us/step - loss: 0.8669
Epoch 10/10
13/13 [==============================] - 0s 844us/step - loss: 0.8380
###################################################################### Accuracy: 76.30242336513479
Epoch 1/10
 1/13 [=>............................] - ETA: 0s - loss: 1.2287WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
13/13 [==============================] - 0s 1ms/step - loss: 0.9861
Epoch 2/10
13/13 [==============================] - 0s 921us/step - loss: 0.9831
Epoch 3/10
13/13 [==============================] - 0s 997us/step - loss: 0.9767
Epoch 4/10
13/13 [==============================] - 0s 921us/step - loss: 0.9662
Epoch 5/10
13/13 [==============================] - 0s 997us/step - loss: 0.9514
Epoch 6/10
13/13 [==============================] - 0s 998us/step - loss: 0.9331
Epoch 7/10
13/13 [==============================] - 0s 844us/step - loss: 0.9101
Epoch 8/10
13/13 [==============================] - 0s 997us/step - loss: 0.8853
Epoch 9/10
13/13 [==============================] - 0s 921us/step - loss: 0.8602
Epoch 10/10
13/13 [==============================] - 0s 844us/step - loss: 0.8369
###################################################################### Accuracy: 110.49540887695062
Epoch 1/10
13/13 [==============================] - 0s 844us/step - loss: 0.9766
Epoch 2/10
13/13 [==============================] - 0s 921us/step - loss: 0.9749
Epoch 3/10
13/13 [==============================] - 0s 1ms/step - loss: 0.9716
Epoch 4/10
13/13 [==============================] - 0s 921us/step - loss: 0.9654
Epoch 5/10
13/13 [==============================] - 0s 921us/step - loss: 0.9562
Epoch 6/10
13/13 [==============================] - 0s 855us/step - loss: 0.9448
Epoch 7/10
13/13 [==============================] - 0s 997us/step - loss: 0.9306
Epoch 8/10
13/13 [==============================] - 0s 844us/step - loss: 0.9120
Epoch 9/10
13/13 [==============================] - 0s 844us/step - loss: 0.8889
Epoch 10/10
13/13 [==============================] - 0s 844us/step - loss: 0.8636
###################################################################### Accuracy: 99.58491932770517
Epoch 1/10
13/13 [==============================] - 0s 920us/step - loss: 1.0178
Epoch 2/10
13/13 [==============================] - 0s 921us/step - loss: 1.0143
Epoch 3/10
13/13 [==============================] - 0s 997us/step - loss: 1.0091
Epoch 4/10
13/13 [==============================] - 0s 921us/step - loss: 1.0002
Epoch 5/10
13/13 [==============================] - 0s 921us/step - loss: 0.9869
Epoch 6/10
13/13 [==============================] - 0s 997us/step - loss: 0.9686
Epoch 7/10
13/13 [==============================] - 0s 997us/step - loss: 0.9458
Epoch 8/10
13/13 [==============================] - 0s 844us/step - loss: 0.9181
Epoch 9/10
13/13 [==============================] - 0s 921us/step - loss: 0.8872
Epoch 10/10
13/13 [==============================] - 0s 767us/step - loss: 0.8561
###################################################################### Accuracy: 108.53657570531446
Epoch 1/10
13/13 [==============================] - 0s 844us/step - loss: 1.0019
Epoch 2/10
13/13 [==============================] - 0s 921us/step - loss: 0.9982
Epoch 3/10
13/13 [==============================] - 0s 1ms/step - loss: 0.9895
Epoch 4/10
13/13 [==============================] - 0s 846us/step - loss: 0.9754
Epoch 5/10
13/13 [==============================] - 0s 997us/step - loss: 0.9568
Epoch 6/10
13/13 [==============================] - 0s 921us/step - loss: 0.9333
Epoch 7/10
13/13 [==============================] - 0s 921us/step - loss: 0.9060
Epoch 8/10
13/13 [==============================] - 0s 921us/step - loss: 0.8743
Epoch 9/10
13/13 [==============================] - 0s 844us/step - loss: 0.8409
Epoch 10/10
13/13 [==============================] - 0s 767us/step - loss: 0.8070
###################################################################### Accuracy: 92.23639660637892
Epoch 1/20
13/13 [==============================] - 0s 1ms/step - loss: 1.0186
Epoch 2/20
13/13 [==============================] - 0s 921us/step - loss: 1.0151
Epoch 3/20
13/13 [==============================] - 0s 921us/step - loss: 1.0071
Epoch 4/20
13/13 [==============================] - 0s 921us/step - loss: 0.9948
Epoch 5/20
13/13 [==============================] - 0s 920us/step - loss: 0.9777
Epoch 6/20
13/13 [==============================] - 0s 997us/step - loss: 0.9553
Epoch 7/20
13/13 [==============================] - 0s 921us/step - loss: 0.9277
Epoch 8/20
13/13 [==============================] - 0s 997us/step - loss: 0.8976
Epoch 9/20
13/13 [==============================] - 0s 844us/step - loss: 0.8648
Epoch 10/20
13/13 [==============================] - 0s 921us/step - loss: 0.8298
Epoch 11/20
13/13 [==============================] - 0s 921us/step - loss: 0.7941
Epoch 12/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7599
Epoch 13/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7299
Epoch 14/20
13/13 [==============================] - 0s 997us/step - loss: 0.7047
Epoch 15/20
13/13 [==============================] - 0s 844us/step - loss: 0.6842
Epoch 16/20
13/13 [==============================] - 0s 921us/step - loss: 0.6671
Epoch 17/20
13/13 [==============================] - 0s 997us/step - loss: 0.6559
Epoch 18/20
13/13 [==============================] - 0s 921us/step - loss: 0.6490
Epoch 19/20
13/13 [==============================] - 0s 844us/step - loss: 0.6438
Epoch 20/20
13/13 [==============================] - 0s 921us/step - loss: 0.6404
###################################################################### Accuracy: 70.59843284378323
Epoch 1/20
13/13 [==============================] - 0s 921us/step - loss: 0.9863
Epoch 2/20
13/13 [==============================] - 0s 921us/step - loss: 0.9826
Epoch 3/20
13/13 [==============================] - 0s 997us/step - loss: 0.9774
Epoch 4/20
13/13 [==============================] - 0s 997us/step - loss: 0.9689
Epoch 5/20
13/13 [==============================] - 0s 997us/step - loss: 0.9568
Epoch 6/20
13/13 [==============================] - 0s 921us/step - loss: 0.9400
Epoch 7/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9192
Epoch 8/20
13/13 [==============================] - 0s 921us/step - loss: 0.8961
Epoch 9/20
13/13 [==============================] - 0s 767us/step - loss: 0.8710
Epoch 10/20
13/13 [==============================] - 0s 921us/step - loss: 0.8457
Epoch 11/20
13/13 [==============================] - 0s 921us/step - loss: 0.8209
Epoch 12/20
13/13 [==============================] - 0s 844us/step - loss: 0.7979
Epoch 13/20
13/13 [==============================] - 0s 921us/step - loss: 0.7776
Epoch 14/20
13/13 [==============================] - 0s 844us/step - loss: 0.7586
Epoch 15/20
13/13 [==============================] - 0s 921us/step - loss: 0.7427
Epoch 16/20
13/13 [==============================] - 0s 844us/step - loss: 0.7297
Epoch 17/20
13/13 [==============================] - 0s 997us/step - loss: 0.7177
Epoch 18/20
13/13 [==============================] - 0s 921us/step - loss: 0.7079
Epoch 19/20
13/13 [==============================] - 0s 844us/step - loss: 0.6997
Epoch 20/20
13/13 [==============================] - 0s 921us/step - loss: 0.6914
###################################################################### Accuracy: 94.26798698491693
Epoch 1/20
13/13 [==============================] - 0s 921us/step - loss: 0.9760
Epoch 2/20
13/13 [==============================] - 0s 997us/step - loss: 0.9721
Epoch 3/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9639
Epoch 4/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9511
Epoch 5/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9344
Epoch 6/20
13/13 [==============================] - 0s 997us/step - loss: 0.9142
Epoch 7/20
13/13 [==============================] - 0s 997us/step - loss: 0.8930
Epoch 8/20
13/13 [==============================] - 0s 921us/step - loss: 0.8722
Epoch 9/20
13/13 [==============================] - 0s 997us/step - loss: 0.8529
Epoch 10/20
13/13 [==============================] - 0s 998us/step - loss: 0.8351
Epoch 11/20
13/13 [==============================] - 0s 921us/step - loss: 0.8208
Epoch 12/20
13/13 [==============================] - 0s 997us/step - loss: 0.8099
Epoch 13/20
13/13 [==============================] - 0s 1ms/step - loss: 0.8008
Epoch 14/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7930
Epoch 15/20
13/13 [==============================] - 0s 997us/step - loss: 0.7865
Epoch 16/20
13/13 [==============================] - 0s 997us/step - loss: 0.7801
Epoch 17/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7742
Epoch 18/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7683
Epoch 19/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7630
Epoch 20/20
13/13 [==============================] - 0s 997us/step - loss: 0.7576
###################################################################### Accuracy: 81.49106852475411
Epoch 1/20
 1/13 [=>............................] - ETA: 0s - loss: 0.9687WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
13/13 [==============================] - 0s 1ms/step - loss: 1.0168
Epoch 2/20
13/13 [==============================] - 0s 998us/step - loss: 1.0113
Epoch 3/20
13/13 [==============================] - 0s 967us/step - loss: 1.0028
Epoch 4/20
13/13 [==============================] - 0s 844us/step - loss: 0.9899
Epoch 5/20
13/13 [==============================] - 0s 997us/step - loss: 0.9725
Epoch 6/20
13/13 [==============================] - 0s 997us/step - loss: 0.9517
Epoch 7/20
13/13 [==============================] - 0s 921us/step - loss: 0.9284
Epoch 8/20
13/13 [==============================] - 0s 844us/step - loss: 0.9041
Epoch 9/20
13/13 [==============================] - 0s 920us/step - loss: 0.8798
Epoch 10/20
13/13 [==============================] - 0s 921us/step - loss: 0.8572
Epoch 11/20
13/13 [==============================] - 0s 844us/step - loss: 0.8377
Epoch 12/20
13/13 [==============================] - 0s 844us/step - loss: 0.8201
Epoch 13/20
13/13 [==============================] - 0s 921us/step - loss: 0.8033
Epoch 14/20
13/13 [==============================] - 0s 844us/step - loss: 0.7880
Epoch 15/20
13/13 [==============================] - 0s 844us/step - loss: 0.7739
Epoch 16/20
13/13 [==============================] - 0s 997us/step - loss: 0.7592
Epoch 17/20
13/13 [==============================] - 0s 844us/step - loss: 0.7449
Epoch 18/20
13/13 [==============================] - 0s 844us/step - loss: 0.7312
Epoch 19/20
13/13 [==============================] - 0s 844us/step - loss: 0.7175
Epoch 20/20
13/13 [==============================] - 0s 997us/step - loss: 0.7046
###################################################################### Accuracy: 77.79619182198765
Epoch 1/20
13/13 [==============================] - 0s 921us/step - loss: 1.0011
Epoch 2/20
13/13 [==============================] - 0s 997us/step - loss: 0.9961
Epoch 3/20
13/13 [==============================] - 0s 997us/step - loss: 0.9867
Epoch 4/20
13/13 [==============================] - 0s 921us/step - loss: 0.9723
Epoch 5/20
13/13 [==============================] - 0s 921us/step - loss: 0.9518
Epoch 6/20
13/13 [==============================] - 0s 1ms/step - loss: 0.9263
Epoch 7/20
13/13 [==============================] - 0s 921us/step - loss: 0.8962
Epoch 8/20
13/13 [==============================] - 0s 921us/step - loss: 0.8633
Epoch 9/20
13/13 [==============================] - 0s 921us/step - loss: 0.8312
Epoch 10/20
13/13 [==============================] - 0s 844us/step - loss: 0.8026
Epoch 11/20
13/13 [==============================] - 0s 921us/step - loss: 0.7775
Epoch 12/20
13/13 [==============================] - 0s 844us/step - loss: 0.7576
Epoch 13/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7424
Epoch 14/20
13/13 [==============================] - 0s 1ms/step - loss: 0.7301
Epoch 15/20
13/13 [==============================] - 0s 844us/step - loss: 0.7186
Epoch 16/20
13/13 [==============================] - 0s 767us/step - loss: 0.7084
Epoch 17/20
13/13 [==============================] - 0s 997us/step - loss: 0.6987
Epoch 18/20
13/13 [==============================] - 0s 921us/step - loss: 0.6894
Epoch 19/20
13/13 [==============================] - 0s 921us/step - loss: 0.6810
Epoch 20/20
13/13 [==============================] - 0s 998us/step - loss: 0.6747
###################################################################### Accuracy: 87.37754924315924
Epoch 1/50
13/13 [==============================] - 0s 997us/step - loss: 1.0170
Epoch 2/50
13/13 [==============================] - 0s 921us/step - loss: 1.0110
Epoch 3/50
13/13 [==============================] - 0s 997us/step - loss: 1.0000
Epoch 4/50
13/13 [==============================] - 0s 844us/step - loss: 0.9842
Epoch 5/50
13/13 [==============================] - 0s 921us/step - loss: 0.9639
Epoch 6/50
13/13 [==============================] - 0s 844us/step - loss: 0.9388
Epoch 7/50
13/13 [==============================] - 0s 1ms/step - loss: 0.9123
Epoch 8/50
13/13 [==============================] - 0s 997us/step - loss: 0.8874
Epoch 9/50
13/13 [==============================] - 0s 997us/step - loss: 0.8622
Epoch 10/50
13/13 [==============================] - 0s 997us/step - loss: 0.8384
Epoch 11/50
13/13 [==============================] - 0s 921us/step - loss: 0.8174
Epoch 12/50
13/13 [==============================] - 0s 1ms/step - loss: 0.7996
Epoch 13/50
13/13 [==============================] - 0s 920us/step - loss: 0.7833
Epoch 14/50
13/13 [==============================] - ETA: 0s - loss: 0.842 - 0s 997us/step - loss: 0.7691
Epoch 15/50
13/13 [==============================] - 0s 920us/step - loss: 0.7562
Epoch 16/50
13/13 [==============================] - 0s 921us/step - loss: 0.7432
Epoch 17/50
13/13 [==============================] - 0s 844us/step - loss: 0.7304
Epoch 18/50
13/13 [==============================] - 0s 921us/step - loss: 0.7179
Epoch 19/50
13/13 [==============================] - 0s 844us/step - loss: 0.7058
Epoch 20/50
13/13 [==============================] - 0s 844us/step - loss: 0.6948
Epoch 21/50
13/13 [==============================] - 0s 921us/step - loss: 0.6839
Epoch 22/50
13/13 [==============================] - 0s 844us/step - loss: 0.6735
Epoch 23/50
13/13 [==============================] - 0s 997us/step - loss: 0.6636
Epoch 24/50
13/13 [==============================] - 0s 921us/step - loss: 0.6548
Epoch 25/50
13/13 [==============================] - 0s 844us/step - loss: 0.6469
Epoch 26/50
13/13 [==============================] - 0s 921us/step - loss: 0.6398
Epoch 27/50
13/13 [==============================] - 0s 921us/step - loss: 0.6341
Epoch 28/50
13/13 [==============================] - 0s 922us/step - loss: 0.6270
Epoch 29/50
13/13 [==============================] - 0s 997us/step - loss: 0.6210
Epoch 30/50
13/13 [==============================] - 0s 921us/step - loss: 0.6164
Epoch 31/50
13/13 [==============================] - 0s 844us/step - loss: 0.6123
Epoch 32/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6082
Epoch 33/50
13/13 [==============================] - 0s 997us/step - loss: 0.6056
Epoch 34/50
13/13 [==============================] - 0s 767us/step - loss: 0.6026
Epoch 35/50
13/13 [==============================] - 0s 844us/step - loss: 0.6010
Epoch 36/50
13/13 [==============================] - 0s 921us/step - loss: 0.5985
Epoch 37/50
13/13 [==============================] - 0s 767us/step - loss: 0.5964
Epoch 38/50
13/13 [==============================] - 0s 921us/step - loss: 0.5952
Epoch 39/50
13/13 [==============================] - 0s 921us/step - loss: 0.5931
Epoch 40/50
13/13 [==============================] - 0s 844us/step - loss: 0.5920
Epoch 41/50
13/13 [==============================] - 0s 844us/step - loss: 0.5895
Epoch 42/50
13/13 [==============================] - 0s 921us/step - loss: 0.5896
Epoch 43/50
13/13 [==============================] - 0s 921us/step - loss: 0.5872
Epoch 44/50
13/13 [==============================] - 0s 767us/step - loss: 0.5867
Epoch 45/50
13/13 [==============================] - 0s 844us/step - loss: 0.5854
Epoch 46/50
13/13 [==============================] - 0s 844us/step - loss: 0.5845
Epoch 47/50
13/13 [==============================] - 0s 921us/step - loss: 0.5829
Epoch 48/50
13/13 [==============================] - 0s 921us/step - loss: 0.5818
Epoch 49/50
13/13 [==============================] - 0s 921us/step - loss: 0.5817
Epoch 50/50
13/13 [==============================] - 0s 844us/step - loss: 0.5803
###################################################################### Accuracy: 71.61620547342402
Epoch 1/50
13/13 [==============================] - 0s 921us/step - loss: 0.9854
Epoch 2/50
13/13 [==============================] - 0s 1ms/step - loss: 0.9811
Epoch 3/50
13/13 [==============================] - 0s 997us/step - loss: 0.9748
Epoch 4/50
13/13 [==============================] - 0s 921us/step - loss: 0.9659
Epoch 5/50
13/13 [==============================] - 0s 997us/step - loss: 0.9544
Epoch 6/50
13/13 [==============================] - 0s 997us/step - loss: 0.9402
Epoch 7/50
13/13 [==============================] - 0s 997us/step - loss: 0.9227
Epoch 8/50
13/13 [==============================] - 0s 921us/step - loss: 0.9032
Epoch 9/50
13/13 [==============================] - 0s 767us/step - loss: 0.8812
Epoch 10/50
13/13 [==============================] - 0s 921us/step - loss: 0.8570
Epoch 11/50
13/13 [==============================] - 0s 921us/step - loss: 0.8316
Epoch 12/50
13/13 [==============================] - 0s 844us/step - loss: 0.8055
Epoch 13/50
13/13 [==============================] - 0s 921us/step - loss: 0.7792
Epoch 14/50
13/13 [==============================] - 0s 921us/step - loss: 0.7541
Epoch 15/50
13/13 [==============================] - 0s 921us/step - loss: 0.7313
Epoch 16/50
13/13 [==============================] - 0s 997us/step - loss: 0.7101
Epoch 17/50
13/13 [==============================] - 0s 921us/step - loss: 0.6921
Epoch 18/50
13/13 [==============================] - 0s 997us/step - loss: 0.6771
Epoch 19/50
13/13 [==============================] - 0s 997us/step - loss: 0.6667
Epoch 20/50
13/13 [==============================] - 0s 997us/step - loss: 0.6590
Epoch 21/50
13/13 [==============================] - 0s 921us/step - loss: 0.6531
Epoch 22/50
13/13 [==============================] - 0s 997us/step - loss: 0.6497
Epoch 23/50
13/13 [==============================] - 0s 921us/step - loss: 0.6469
Epoch 24/50
13/13 [==============================] - 0s 844us/step - loss: 0.6454
Epoch 25/50
13/13 [==============================] - 0s 997us/step - loss: 0.6446
Epoch 26/50
13/13 [==============================] - 0s 844us/step - loss: 0.6433
Epoch 27/50
13/13 [==============================] - 0s 844us/step - loss: 0.6421
Epoch 28/50
13/13 [==============================] - 0s 844us/step - loss: 0.6411
Epoch 29/50
13/13 [==============================] - 0s 921us/step - loss: 0.6398
Epoch 30/50
13/13 [==============================] - 0s 921us/step - loss: 0.6388
Epoch 31/50
13/13 [==============================] - 0s 844us/step - loss: 0.6381
Epoch 32/50
13/13 [==============================] - 0s 921us/step - loss: 0.6371
Epoch 33/50
13/13 [==============================] - 0s 844us/step - loss: 0.6363
Epoch 34/50
13/13 [==============================] - 0s 997us/step - loss: 0.6357
Epoch 35/50
13/13 [==============================] - 0s 844us/step - loss: 0.6346
Epoch 36/50
13/13 [==============================] - 0s 844us/step - loss: 0.6343
Epoch 37/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6326
Epoch 38/50
13/13 [==============================] - 0s 844us/step - loss: 0.6324
Epoch 39/50
13/13 [==============================] - 0s 844us/step - loss: 0.6317
Epoch 40/50
13/13 [==============================] - 0s 844us/step - loss: 0.6303
Epoch 41/50
13/13 [==============================] - 0s 997us/step - loss: 0.6306
Epoch 42/50
13/13 [==============================] - 0s 844us/step - loss: 0.6289
Epoch 43/50
13/13 [==============================] - 0s 844us/step - loss: 0.6285
Epoch 44/50
13/13 [==============================] - 0s 920us/step - loss: 0.6276
Epoch 45/50
13/13 [==============================] - 0s 921us/step - loss: 0.6268
Epoch 46/50
13/13 [==============================] - 0s 844us/step - loss: 0.6263
Epoch 47/50
13/13 [==============================] - 0s 922us/step - loss: 0.6253
Epoch 48/50
13/13 [==============================] - 0s 844us/step - loss: 0.6252
Epoch 49/50
13/13 [==============================] - 0s 844us/step - loss: 0.6245
Epoch 50/50
13/13 [==============================] - 0s 844us/step - loss: 0.6232
###################################################################### Accuracy: 74.90825328975995
Epoch 1/50
 1/13 [=>............................] - ETA: 0s - loss: 1.0193WARNING:tensorflow:Callbacks method `on_train_batch_begin` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_begin` time: 0.0010s). Check your callbacks.
13/13 [==============================] - 0s 1ms/step - loss: 0.9767
Epoch 2/50
13/13 [==============================] - 0s 921us/step - loss: 0.9748
Epoch 3/50
13/13 [==============================] - 0s 921us/step - loss: 0.9708
Epoch 4/50
13/13 [==============================] - 0s 998us/step - loss: 0.9634
Epoch 5/50
13/13 [==============================] - 0s 844us/step - loss: 0.9523
Epoch 6/50
13/13 [==============================] - 0s 920us/step - loss: 0.9374
Epoch 7/50
13/13 [==============================] - 0s 844us/step - loss: 0.9191
Epoch 8/50
13/13 [==============================] - 0s 767us/step - loss: 0.8983
Epoch 9/50
13/13 [==============================] - 0s 844us/step - loss: 0.8749
Epoch 10/50
13/13 [==============================] - 0s 844us/step - loss: 0.8495
Epoch 11/50
13/13 [==============================] - 0s 997us/step - loss: 0.8225
Epoch 12/50
13/13 [==============================] - 0s 921us/step - loss: 0.7947
Epoch 13/50
13/13 [==============================] - 0s 997us/step - loss: 0.7678
Epoch 14/50
13/13 [==============================] - 0s 921us/step - loss: 0.7443
Epoch 15/50
13/13 [==============================] - 0s 997us/step - loss: 0.7235
Epoch 16/50
13/13 [==============================] - 0s 997us/step - loss: 0.7047
Epoch 17/50
13/13 [==============================] - 0s 921us/step - loss: 0.6889
Epoch 18/50
13/13 [==============================] - 0s 997us/step - loss: 0.6746
Epoch 19/50
13/13 [==============================] - 0s 844us/step - loss: 0.6617
Epoch 20/50
13/13 [==============================] - 0s 921us/step - loss: 0.6511
Epoch 21/50
13/13 [==============================] - 0s 997us/step - loss: 0.6421
Epoch 22/50
13/13 [==============================] - 0s 844us/step - loss: 0.6345
Epoch 23/50
13/13 [==============================] - 0s 921us/step - loss: 0.6289
Epoch 24/50
13/13 [==============================] - 0s 921us/step - loss: 0.6244
Epoch 25/50
13/13 [==============================] - 0s 921us/step - loss: 0.6205
Epoch 26/50
13/13 [==============================] - 0s 844us/step - loss: 0.6186
Epoch 27/50
13/13 [==============================] - 0s 997us/step - loss: 0.6156
Epoch 28/50
13/13 [==============================] - 0s 844us/step - loss: 0.6137
Epoch 29/50
13/13 [==============================] - 0s 997us/step - loss: 0.6116
Epoch 30/50
13/13 [==============================] - 0s 997us/step - loss: 0.6095
Epoch 31/50
13/13 [==============================] - 0s 767us/step - loss: 0.6076
Epoch 32/50
13/13 [==============================] - 0s 997us/step - loss: 0.6056
Epoch 33/50
13/13 [==============================] - 0s 921us/step - loss: 0.6039
Epoch 34/50
13/13 [==============================] - 0s 767us/step - loss: 0.6028
Epoch 35/50
13/13 [==============================] - 0s 997us/step - loss: 0.6010
Epoch 36/50
13/13 [==============================] - 0s 844us/step - loss: 0.6000
Epoch 37/50
13/13 [==============================] - 0s 844us/step - loss: 0.5983
Epoch 38/50
13/13 [==============================] - 0s 1ms/step - loss: 0.5968
Epoch 39/50
13/13 [==============================] - 0s 921us/step - loss: 0.5959
Epoch 40/50
13/13 [==============================] - 0s 844us/step - loss: 0.5941
Epoch 41/50
13/13 [==============================] - ETA: 0s - loss: 0.409 - 0s 921us/step - loss: 0.5937
Epoch 42/50
13/13 [==============================] - 0s 844us/step - loss: 0.5919
Epoch 43/50
13/13 [==============================] - 0s 921us/step - loss: 0.5911
Epoch 44/50
13/13 [==============================] - 0s 844us/step - loss: 0.5908
Epoch 45/50
13/13 [==============================] - 0s 997us/step - loss: 0.5893
Epoch 46/50
13/13 [==============================] - 0s 921us/step - loss: 0.5889
Epoch 47/50
13/13 [==============================] - 0s 844us/step - loss: 0.5873
Epoch 48/50
13/13 [==============================] - 0s 921us/step - loss: 0.5865
Epoch 49/50
13/13 [==============================] - 0s 844us/step - loss: 0.5858
Epoch 50/50
13/13 [==============================] - 0s 844us/step - loss: 0.5850
###################################################################### Accuracy: 90.0475646216292
Epoch 1/50
 1/13 [=>............................] - ETA: 0s - loss: 1.4593WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
13/13 [==============================] - 0s 1ms/step - loss: 1.0164
Epoch 2/50
13/13 [==============================] - 0s 997us/step - loss: 1.0094
Epoch 3/50
13/13 [==============================] - 0s 1ms/step - loss: 1.0000
Epoch 4/50
13/13 [==============================] - 0s 921us/step - loss: 0.9874
Epoch 5/50
13/13 [==============================] - 0s 844us/step - loss: 0.9706
Epoch 6/50
13/13 [==============================] - 0s 921us/step - loss: 0.9488
Epoch 7/50
13/13 [==============================] - 0s 997us/step - loss: 0.9241
Epoch 8/50
13/13 [==============================] - 0s 844us/step - loss: 0.8960
Epoch 9/50
13/13 [==============================] - 0s 844us/step - loss: 0.8653
Epoch 10/50
13/13 [==============================] - 0s 921us/step - loss: 0.8336
Epoch 11/50
13/13 [==============================] - 0s 844us/step - loss: 0.8012
Epoch 12/50
13/13 [==============================] - 0s 920us/step - loss: 0.7706
Epoch 13/50
13/13 [==============================] - 0s 844us/step - loss: 0.7411
Epoch 14/50
13/13 [==============================] - 0s 844us/step - loss: 0.7137
Epoch 15/50
13/13 [==============================] - 0s 921us/step - loss: 0.6913
Epoch 16/50
13/13 [==============================] - 0s 844us/step - loss: 0.6746
Epoch 17/50
13/13 [==============================] - 0s 844us/step - loss: 0.6637
Epoch 18/50
13/13 [==============================] - 0s 844us/step - loss: 0.6558
Epoch 19/50
13/13 [==============================] - 0s 997us/step - loss: 0.6509
Epoch 20/50
13/13 [==============================] - 0s 844us/step - loss: 0.6472
Epoch 21/50
13/13 [==============================] - 0s 921us/step - loss: 0.6455
Epoch 22/50
13/13 [==============================] - 0s 997us/step - loss: 0.6427
Epoch 23/50
13/13 [==============================] - 0s 921us/step - loss: 0.6411
Epoch 24/50
13/13 [==============================] - 0s 921us/step - loss: 0.6394
Epoch 25/50
13/13 [==============================] - 0s 844us/step - loss: 0.6375
Epoch 26/50
13/13 [==============================] - 0s 997us/step - loss: 0.6365
Epoch 27/50
13/13 [==============================] - 0s 921us/step - loss: 0.6345
Epoch 28/50
13/13 [==============================] - 0s 844us/step - loss: 0.6327
Epoch 29/50
13/13 [==============================] - 0s 921us/step - loss: 0.6320
Epoch 30/50
13/13 [==============================] - 0s 767us/step - loss: 0.6307
Epoch 31/50
13/13 [==============================] - 0s 844us/step - loss: 0.6294
Epoch 32/50
13/13 [==============================] - 0s 844us/step - loss: 0.6286
Epoch 33/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6272
Epoch 34/50
13/13 [==============================] - 0s 844us/step - loss: 0.6256
Epoch 35/50
13/13 [==============================] - 0s 921us/step - loss: 0.6253
Epoch 36/50
13/13 [==============================] - 0s 921us/step - loss: 0.6242
Epoch 37/50
13/13 [==============================] - 0s 921us/step - loss: 0.6231
Epoch 38/50
13/13 [==============================] - 0s 997us/step - loss: 0.6216
Epoch 39/50
13/13 [==============================] - 0s 843us/step - loss: 0.6208
Epoch 40/50
13/13 [==============================] - 0s 920us/step - loss: 0.6208
Epoch 41/50
13/13 [==============================] - 0s 844us/step - loss: 0.6186
Epoch 42/50
13/13 [==============================] - 0s 997us/step - loss: 0.6184
Epoch 43/50
13/13 [==============================] - 0s 922us/step - loss: 0.6181
Epoch 44/50
13/13 [==============================] - 0s 844us/step - loss: 0.6173
Epoch 45/50
13/13 [==============================] - 0s 1ms/step - loss: 0.6159
Epoch 46/50
13/13 [==============================] - 0s 768us/step - loss: 0.6152
Epoch 47/50
13/13 [==============================] - 0s 921us/step - loss: 0.6150
Epoch 48/50
13/13 [==============================] - 0s 921us/step - loss: 0.6138
Epoch 49/50
13/13 [==============================] - 0s 844us/step - loss: 0.6127
Epoch 50/50
13/13 [==============================] - 0s 997us/step - loss: 0.6130
###################################################################### Accuracy: 72.57708305166837
Epoch 1/50
13/13 [==============================] - 0s 998us/step - loss: 1.0009
Epoch 2/50
13/13 [==============================] - 0s 997us/step - loss: 0.9946
Epoch 3/50
13/13 [==============================] - 0s 921us/step - loss: 0.9809
Epoch 4/50
13/13 [==============================] - 0s 921us/step - loss: 0.9620
Epoch 5/50
13/13 [==============================] - 0s 844us/step - loss: 0.9377
Epoch 6/50
13/13 [==============================] - 0s 901us/step - loss: 0.9093
Epoch 7/50
13/13 [==============================] - 0s 997us/step - loss: 0.8766
Epoch 8/50
13/13 [==============================] - 0s 921us/step - loss: 0.8433
Epoch 9/50
13/13 [==============================] - 0s 921us/step - loss: 0.8110
Epoch 10/50
13/13 [==============================] - 0s 844us/step - loss: 0.7812
Epoch 11/50
13/13 [==============================] - 0s 997us/step - loss: 0.7550
Epoch 12/50
13/13 [==============================] - 0s 921us/step - loss: 0.7345
Epoch 13/50
13/13 [==============================] - 0s 921us/step - loss: 0.7195
Epoch 14/50
13/13 [==============================] - 0s 844us/step - loss: 0.7069
Epoch 15/50
13/13 [==============================] - 0s 921us/step - loss: 0.6960
Epoch 16/50
13/13 [==============================] - 0s 921us/step - loss: 0.6852
Epoch 17/50
13/13 [==============================] - 0s 844us/step - loss: 0.6766
Epoch 18/50
13/13 [==============================] - 0s 844us/step - loss: 0.6680
Epoch 19/50
13/13 [==============================] - 0s 767us/step - loss: 0.6603
Epoch 20/50
13/13 [==============================] - 0s 921us/step - loss: 0.6532
Epoch 21/50
13/13 [==============================] - 0s 844us/step - loss: 0.6486
Epoch 22/50
13/13 [==============================] - 0s 844us/step - loss: 0.6438
Epoch 23/50
13/13 [==============================] - 0s 921us/step - loss: 0.6403
Epoch 24/50
13/13 [==============================] - 0s 844us/step - loss: 0.6362
Epoch 25/50
13/13 [==============================] - 0s 921us/step - loss: 0.6338
Epoch 26/50
13/13 [==============================] - 0s 920us/step - loss: 0.6302
Epoch 27/50
13/13 [==============================] - ETA: 0s - loss: 0.936 - 0s 997us/step - loss: 0.6288
Epoch 28/50
13/13 [==============================] - 0s 921us/step - loss: 0.6254
Epoch 29/50
13/13 [==============================] - 0s 767us/step - loss: 0.6236
Epoch 30/50
13/13 [==============================] - 0s 921us/step - loss: 0.6212
Epoch 31/50
13/13 [==============================] - 0s 844us/step - loss: 0.6194
Epoch 32/50
13/13 [==============================] - 0s 921us/step - loss: 0.6163
Epoch 33/50
13/13 [==============================] - 0s 921us/step - loss: 0.6154
Epoch 34/50
13/13 [==============================] - 0s 845us/step - loss: 0.6134
Epoch 35/50
13/13 [==============================] - 0s 844us/step - loss: 0.6112
Epoch 36/50
13/13 [==============================] - 0s 844us/step - loss: 0.6096
Epoch 37/50
13/13 [==============================] - 0s 844us/step - loss: 0.6083
Epoch 38/50
13/13 [==============================] - 0s 844us/step - loss: 0.6061
Epoch 39/50
13/13 [==============================] - 0s 921us/step - loss: 0.6049
Epoch 40/50
13/13 [==============================] - 0s 844us/step - loss: 0.6041
Epoch 41/50
13/13 [==============================] - 0s 844us/step - loss: 0.6019
Epoch 42/50
13/13 [==============================] - 0s 921us/step - loss: 0.6009
Epoch 43/50
13/13 [==============================] - 0s 921us/step - loss: 0.5990
Epoch 44/50
13/13 [==============================] - 0s 921us/step - loss: 0.5988
Epoch 45/50
13/13 [==============================] - 0s 844us/step - loss: 0.5972
Epoch 46/50
13/13 [==============================] - 0s 921us/step - loss: 0.5947
Epoch 47/50
13/13 [==============================] - 0s 844us/step - loss: 0.5945
Epoch 48/50
13/13 [==============================] - 0s 921us/step - loss: 0.5930
Epoch 49/50
13/13 [==============================] - 0s 844us/step - loss: 0.5916
Epoch 50/50
13/13 [==============================] - 0s 844us/step - loss: 0.5910
###################################################################### Accuracy: 69.9508863136621
Epoch 1/100
13/13 [==============================] - 0s 1ms/step - loss: 1.0178
Epoch 2/100
13/13 [==============================] - 0s 921us/step - loss: 1.0121
Epoch 3/100
13/13 [==============================] - 0s 997us/step - loss: 1.0003
Epoch 4/100
13/13 [==============================] - 0s 844us/step - loss: 0.9823
Epoch 5/100
13/13 [==============================] - 0s 921us/step - loss: 0.9584
Epoch 6/100
13/13 [==============================] - 0s 921us/step - loss: 0.9301
Epoch 7/100
13/13 [==============================] - 0s 921us/step - loss: 0.9001
Epoch 8/100
13/13 [==============================] - 0s 997us/step - loss: 0.8673
Epoch 9/100
13/13 [==============================] - 0s 844us/step - loss: 0.8324
Epoch 10/100
13/13 [==============================] - 0s 921us/step - loss: 0.7992
Epoch 11/100
13/13 [==============================] - 0s 844us/step - loss: 0.7696
Epoch 12/100
13/13 [==============================] - 0s 844us/step - loss: 0.7433
Epoch 13/100
13/13 [==============================] - 0s 997us/step - loss: 0.7219
Epoch 14/100
13/13 [==============================] - 0s 844us/step - loss: 0.7049
Epoch 15/100
13/13 [==============================] - 0s 844us/step - loss: 0.6912
Epoch 16/100
13/13 [==============================] - 0s 921us/step - loss: 0.6801
Epoch 17/100
13/13 [==============================] - 0s 844us/step - loss: 0.6697
Epoch 18/100
13/13 [==============================] - 0s 844us/step - loss: 0.6626
Epoch 19/100
13/13 [==============================] - 0s 921us/step - loss: 0.6544
Epoch 20/100
13/13 [==============================] - 0s 921us/step - loss: 0.6486
Epoch 21/100
13/13 [==============================] - 0s 844us/step - loss: 0.6438
Epoch 22/100
13/13 [==============================] - 0s 997us/step - loss: 0.6398
Epoch 23/100
13/13 [==============================] - 0s 844us/step - loss: 0.6357
Epoch 24/100
13/13 [==============================] - 0s 921us/step - loss: 0.6318
Epoch 25/100
13/13 [==============================] - 0s 844us/step - loss: 0.6303
Epoch 26/100
13/13 [==============================] - 0s 921us/step - loss: 0.6271
Epoch 27/100
13/13 [==============================] - 0s 844us/step - loss: 0.6254
Epoch 28/100
13/13 [==============================] - 0s 921us/step - loss: 0.6232
Epoch 29/100
13/13 [==============================] - 0s 844us/step - loss: 0.6217
Epoch 30/100
13/13 [==============================] - 0s 921us/step - loss: 0.6197
Epoch 31/100
13/13 [==============================] - 0s 997us/step - loss: 0.6192
Epoch 32/100
13/13 [==============================] - 0s 997us/step - loss: 0.6162
Epoch 33/100
13/13 [==============================] - 0s 844us/step - loss: 0.6151
Epoch 34/100
13/13 [==============================] - 0s 844us/step - loss: 0.6143
Epoch 35/100
13/13 [==============================] - 0s 921us/step - loss: 0.6128
Epoch 36/100
13/13 [==============================] - 0s 844us/step - loss: 0.6114
Epoch 37/100
13/13 [==============================] - 0s 921us/step - loss: 0.6105
Epoch 38/100
13/13 [==============================] - 0s 997us/step - loss: 0.6087
Epoch 39/100
13/13 [==============================] - 0s 844us/step - loss: 0.6079
Epoch 40/100
13/13 [==============================] - 0s 998us/step - loss: 0.6058
Epoch 41/100
13/13 [==============================] - 0s 844us/step - loss: 0.6045
Epoch 42/100
13/13 [==============================] - 0s 844us/step - loss: 0.6036
Epoch 43/100
13/13 [==============================] - 0s 921us/step - loss: 0.6029
Epoch 44/100
13/13 [==============================] - 0s 844us/step - loss: 0.6009
Epoch 45/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6000
Epoch 46/100
13/13 [==============================] - 0s 921us/step - loss: 0.5996
Epoch 47/100
13/13 [==============================] - 0s 844us/step - loss: 0.5984
Epoch 48/100
13/13 [==============================] - 0s 767us/step - loss: 0.5978
Epoch 49/100
13/13 [==============================] - 0s 844us/step - loss: 0.5966
Epoch 50/100
13/13 [==============================] - 0s 921us/step - loss: 0.5951
Epoch 51/100
13/13 [==============================] - 0s 997us/step - loss: 0.5945
Epoch 52/100
13/13 [==============================] - 0s 997us/step - loss: 0.5939
Epoch 53/100
13/13 [==============================] - 0s 920us/step - loss: 0.5930
Epoch 54/100
13/13 [==============================] - 0s 921us/step - loss: 0.5920
Epoch 55/100
13/13 [==============================] - 0s 921us/step - loss: 0.5912
Epoch 56/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5896
Epoch 57/100
13/13 [==============================] - 0s 921us/step - loss: 0.5901
Epoch 58/100
13/13 [==============================] - 0s 844us/step - loss: 0.5879
Epoch 59/100
13/13 [==============================] - 0s 921us/step - loss: 0.5877
Epoch 60/100
13/13 [==============================] - 0s 844us/step - loss: 0.5863
Epoch 61/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5849
Epoch 62/100
13/13 [==============================] - 0s 920us/step - loss: 0.5850
Epoch 63/100
13/13 [==============================] - 0s 921us/step - loss: 0.5836
Epoch 64/100
13/13 [==============================] - 0s 844us/step - loss: 0.5831
Epoch 65/100
13/13 [==============================] - 0s 844us/step - loss: 0.5827
Epoch 66/100
13/13 [==============================] - 0s 844us/step - loss: 0.5814
Epoch 67/100
13/13 [==============================] - 0s 921us/step - loss: 0.5799
Epoch 68/100
13/13 [==============================] - 0s 921us/step - loss: 0.5796
Epoch 69/100
13/13 [==============================] - 0s 997us/step - loss: 0.5789
Epoch 70/100
13/13 [==============================] - 0s 997us/step - loss: 0.5774
Epoch 71/100
13/13 [==============================] - 0s 920us/step - loss: 0.5771
Epoch 72/100
13/13 [==============================] - 0s 844us/step - loss: 0.5769
Epoch 73/100
13/13 [==============================] - 0s 921us/step - loss: 0.5757
Epoch 74/100
13/13 [==============================] - 0s 767us/step - loss: 0.5747
Epoch 75/100
13/13 [==============================] - 0s 921us/step - loss: 0.5741
Epoch 76/100
13/13 [==============================] - 0s 767us/step - loss: 0.5735
Epoch 77/100
13/13 [==============================] - 0s 844us/step - loss: 0.5725
Epoch 78/100
13/13 [==============================] - 0s 844us/step - loss: 0.5724
Epoch 79/100
13/13 [==============================] - 0s 921us/step - loss: 0.5712
Epoch 80/100
13/13 [==============================] - 0s 921us/step - loss: 0.5714
Epoch 81/100
13/13 [==============================] - 0s 844us/step - loss: 0.5699
Epoch 82/100
13/13 [==============================] - 0s 920us/step - loss: 0.5691
Epoch 83/100
13/13 [==============================] - 0s 921us/step - loss: 0.5690
Epoch 84/100
13/13 [==============================] - 0s 921us/step - loss: 0.5675
Epoch 85/100
13/13 [==============================] - 0s 921us/step - loss: 0.5670
Epoch 86/100
13/13 [==============================] - 0s 921us/step - loss: 0.5663
Epoch 87/100
13/13 [==============================] - 0s 845us/step - loss: 0.5661
Epoch 88/100
13/13 [==============================] - 0s 997us/step - loss: 0.5654
Epoch 89/100
13/13 [==============================] - 0s 767us/step - loss: 0.5647
Epoch 90/100
13/13 [==============================] - 0s 2ms/step - loss: 0.5644
Epoch 91/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5637
Epoch 92/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5632
Epoch 93/100
13/13 [==============================] - 0s 921us/step - loss: 0.5618
Epoch 94/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5625
Epoch 95/100
13/13 [==============================] - 0s 997us/step - loss: 0.5614
Epoch 96/100
13/13 [==============================] - 0s 844us/step - loss: 0.5601
Epoch 97/100
13/13 [==============================] - 0s 767us/step - loss: 0.5613
Epoch 98/100
13/13 [==============================] - 0s 921us/step - loss: 0.5604
Epoch 99/100
13/13 [==============================] - 0s 844us/step - loss: 0.5597
Epoch 100/100
13/13 [==============================] - 0s 844us/step - loss: 0.5593
###################################################################### Accuracy: 69.16153542404248
Epoch 1/100
13/13 [==============================] - 0s 921us/step - loss: 0.9847
Epoch 2/100
13/13 [==============================] - 0s 997us/step - loss: 0.9802
Epoch 3/100
13/13 [==============================] - 0s 998us/step - loss: 0.9737
Epoch 4/100
13/13 [==============================] - 0s 921us/step - loss: 0.9631
Epoch 5/100
13/13 [==============================] - 0s 920us/step - loss: 0.9487
Epoch 6/100
13/13 [==============================] - 0s 921us/step - loss: 0.9301
Epoch 7/100
13/13 [==============================] - 0s 843us/step - loss: 0.9081
Epoch 8/100
13/13 [==============================] - 0s 997us/step - loss: 0.8825
Epoch 9/100
13/13 [==============================] - 0s 844us/step - loss: 0.8541
Epoch 10/100
13/13 [==============================] - 0s 997us/step - loss: 0.8251
Epoch 11/100
13/13 [==============================] - 0s 844us/step - loss: 0.7955
Epoch 12/100
13/13 [==============================] - 0s 921us/step - loss: 0.7665
Epoch 13/100
13/13 [==============================] - 0s 844us/step - loss: 0.7406
Epoch 14/100
13/13 [==============================] - 0s 844us/step - loss: 0.7158
Epoch 15/100
13/13 [==============================] - 0s 767us/step - loss: 0.6946
Epoch 16/100
13/13 [==============================] - 0s 844us/step - loss: 0.6777
Epoch 17/100
13/13 [==============================] - 0s 921us/step - loss: 0.6669
Epoch 18/100
13/13 [==============================] - 0s 997us/step - loss: 0.6581
Epoch 19/100
13/13 [==============================] - 0s 921us/step - loss: 0.6530
Epoch 20/100
13/13 [==============================] - 0s 844us/step - loss: 0.6488
Epoch 21/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6464
Epoch 22/100
13/13 [==============================] - 0s 921us/step - loss: 0.6439
Epoch 23/100
13/13 [==============================] - 0s 844us/step - loss: 0.6420
Epoch 24/100
13/13 [==============================] - 0s 767us/step - loss: 0.6407
Epoch 25/100
13/13 [==============================] - 0s 921us/step - loss: 0.6388
Epoch 26/100
13/13 [==============================] - 0s 920us/step - loss: 0.6384
Epoch 27/100
13/13 [==============================] - 0s 921us/step - loss: 0.6368
Epoch 28/100
13/13 [==============================] - 0s 767us/step - loss: 0.6347
Epoch 29/100
13/13 [==============================] - 0s 921us/step - loss: 0.6337
Epoch 30/100
13/13 [==============================] - 0s 921us/step - loss: 0.6328
Epoch 31/100
13/13 [==============================] - 0s 997us/step - loss: 0.6310
Epoch 32/100
13/13 [==============================] - 0s 844us/step - loss: 0.6301
Epoch 33/100
13/13 [==============================] - 0s 997us/step - loss: 0.6293
Epoch 34/100
13/13 [==============================] - 0s 921us/step - loss: 0.6275
Epoch 35/100
13/13 [==============================] - 0s 844us/step - loss: 0.6258
Epoch 36/100
13/13 [==============================] - 0s 844us/step - loss: 0.6255
Epoch 37/100
13/13 [==============================] - 0s 997us/step - loss: 0.6242
Epoch 38/100
13/13 [==============================] - 0s 844us/step - loss: 0.6226
Epoch 39/100
13/13 [==============================] - 0s 921us/step - loss: 0.6229
Epoch 40/100
13/13 [==============================] - 0s 844us/step - loss: 0.6200
Epoch 41/100
13/13 [==============================] - 0s 997us/step - loss: 0.6193
Epoch 42/100
13/13 [==============================] - 0s 921us/step - loss: 0.6178
Epoch 43/100
13/13 [==============================] - 0s 921us/step - loss: 0.6170
Epoch 44/100
13/13 [==============================] - 0s 844us/step - loss: 0.6154
Epoch 45/100
13/13 [==============================] - 0s 844us/step - loss: 0.6147
Epoch 46/100
13/13 [==============================] - 0s 922us/step - loss: 0.6135
Epoch 47/100
13/13 [==============================] - 0s 844us/step - loss: 0.6119
Epoch 48/100
13/13 [==============================] - 0s 921us/step - loss: 0.6115
Epoch 49/100
13/13 [==============================] - 0s 844us/step - loss: 0.6101
Epoch 50/100
13/13 [==============================] - 0s 921us/step - loss: 0.6089
Epoch 51/100
13/13 [==============================] - 0s 844us/step - loss: 0.6079
Epoch 52/100
13/13 [==============================] - 0s 844us/step - loss: 0.6062
Epoch 53/100
13/13 [==============================] - 0s 844us/step - loss: 0.6052
Epoch 54/100
13/13 [==============================] - 0s 844us/step - loss: 0.6042
Epoch 55/100
13/13 [==============================] - 0s 844us/step - loss: 0.6035
Epoch 56/100
13/13 [==============================] - 0s 844us/step - loss: 0.6012
Epoch 57/100
13/13 [==============================] - 0s 844us/step - loss: 0.6008
Epoch 58/100
13/13 [==============================] - 0s 844us/step - loss: 0.5994
Epoch 59/100
13/13 [==============================] - 0s 921us/step - loss: 0.5989
Epoch 60/100
13/13 [==============================] - 0s 844us/step - loss: 0.5974
Epoch 61/100
13/13 [==============================] - 0s 921us/step - loss: 0.5959
Epoch 62/100
13/13 [==============================] - 0s 844us/step - loss: 0.5953
Epoch 63/100
13/13 [==============================] - 0s 767us/step - loss: 0.5950
Epoch 64/100
13/13 [==============================] - 0s 921us/step - loss: 0.5937
Epoch 65/100
13/13 [==============================] - 0s 921us/step - loss: 0.5933
Epoch 66/100
13/13 [==============================] - 0s 844us/step - loss: 0.5922
Epoch 67/100
13/13 [==============================] - 0s 767us/step - loss: 0.5914
Epoch 68/100
13/13 [==============================] - 0s 921us/step - loss: 0.5911
Epoch 69/100
13/13 [==============================] - 0s 844us/step - loss: 0.5898
Epoch 70/100
13/13 [==============================] - 0s 921us/step - loss: 0.5894
Epoch 71/100
13/13 [==============================] - 0s 921us/step - loss: 0.5884
Epoch 72/100
13/13 [==============================] - 0s 844us/step - loss: 0.5886
Epoch 73/100
13/13 [==============================] - 0s 921us/step - loss: 0.5869
Epoch 74/100
13/13 [==============================] - 0s 997us/step - loss: 0.5868
Epoch 75/100
13/13 [==============================] - 0s 844us/step - loss: 0.5863
Epoch 76/100
13/13 [==============================] - 0s 997us/step - loss: 0.5862
Epoch 77/100
13/13 [==============================] - 0s 920us/step - loss: 0.5854
Epoch 78/100
13/13 [==============================] - 0s 844us/step - loss: 0.5843
Epoch 79/100
13/13 [==============================] - 0s 921us/step - loss: 0.5849
Epoch 80/100
13/13 [==============================] - 0s 921us/step - loss: 0.5833
Epoch 81/100
13/13 [==============================] - 0s 844us/step - loss: 0.5838
Epoch 82/100
13/13 [==============================] - 0s 921us/step - loss: 0.5827
Epoch 83/100
13/13 [==============================] - 0s 844us/step - loss: 0.5824
Epoch 84/100
13/13 [==============================] - 0s 997us/step - loss: 0.5819
Epoch 85/100
13/13 [==============================] - 0s 921us/step - loss: 0.5808
Epoch 86/100
13/13 [==============================] - 0s 921us/step - loss: 0.5814
Epoch 87/100
13/13 [==============================] - 0s 921us/step - loss: 0.5802
Epoch 88/100
13/13 [==============================] - 0s 921us/step - loss: 0.5801
Epoch 89/100
13/13 [==============================] - 0s 844us/step - loss: 0.5791
Epoch 90/100
13/13 [==============================] - 0s 997us/step - loss: 0.5787
Epoch 91/100
13/13 [==============================] - 0s 844us/step - loss: 0.5789
Epoch 92/100
13/13 [==============================] - 0s 767us/step - loss: 0.5784
Epoch 93/100
13/13 [==============================] - 0s 921us/step - loss: 0.5780
Epoch 94/100
13/13 [==============================] - 0s 844us/step - loss: 0.5767
Epoch 95/100
13/13 [==============================] - 0s 921us/step - loss: 0.5764
Epoch 96/100
13/13 [==============================] - 0s 921us/step - loss: 0.5765
Epoch 97/100
13/13 [==============================] - 0s 997us/step - loss: 0.5765
Epoch 98/100
13/13 [==============================] - 0s 844us/step - loss: 0.5757
Epoch 99/100
13/13 [==============================] - 0s 921us/step - loss: 0.5750
Epoch 100/100
13/13 [==============================] - 0s 921us/step - loss: 0.5748
###################################################################### Accuracy: 73.5762713771991
Epoch 1/100
13/13 [==============================] - 0s 921us/step - loss: 0.9766
Epoch 2/100
13/13 [==============================] - 0s 920us/step - loss: 0.9722
Epoch 3/100
13/13 [==============================] - 0s 921us/step - loss: 0.9635
Epoch 4/100
13/13 [==============================] - 0s 920us/step - loss: 0.9500
Epoch 5/100
13/13 [==============================] - 0s 921us/step - loss: 0.9321
Epoch 6/100
13/13 [==============================] - 0s 844us/step - loss: 0.9079
Epoch 7/100
13/13 [==============================] - 0s 921us/step - loss: 0.8782
Epoch 8/100
13/13 [==============================] - 0s 921us/step - loss: 0.8470
Epoch 9/100
13/13 [==============================] - 0s 921us/step - loss: 0.8130
Epoch 10/100
13/13 [==============================] - 0s 767us/step - loss: 0.7804
Epoch 11/100
13/13 [==============================] - 0s 844us/step - loss: 0.7498
Epoch 12/100
13/13 [==============================] - 0s 921us/step - loss: 0.7222
Epoch 13/100
13/13 [==============================] - 0s 844us/step - loss: 0.6984
Epoch 14/100
13/13 [==============================] - 0s 844us/step - loss: 0.6805
Epoch 15/100
13/13 [==============================] - 0s 767us/step - loss: 0.6660
Epoch 16/100
13/13 [==============================] - 0s 921us/step - loss: 0.6560
Epoch 17/100
13/13 [==============================] - 0s 921us/step - loss: 0.6481
Epoch 18/100
13/13 [==============================] - 0s 844us/step - loss: 0.6425
Epoch 19/100
13/13 [==============================] - 0s 920us/step - loss: 0.6378
Epoch 20/100
13/13 [==============================] - 0s 844us/step - loss: 0.6334
Epoch 21/100
13/13 [==============================] - 0s 844us/step - loss: 0.6310
Epoch 22/100
13/13 [==============================] - 0s 921us/step - loss: 0.6291
Epoch 23/100
13/13 [==============================] - 0s 844us/step - loss: 0.6270
Epoch 24/100
13/13 [==============================] - 0s 844us/step - loss: 0.6252
Epoch 25/100
13/13 [==============================] - 0s 997us/step - loss: 0.6244
Epoch 26/100
13/13 [==============================] - 0s 921us/step - loss: 0.6223
Epoch 27/100
13/13 [==============================] - 0s 844us/step - loss: 0.6225
Epoch 28/100
13/13 [==============================] - 0s 844us/step - loss: 0.6208
Epoch 29/100
13/13 [==============================] - 0s 921us/step - loss: 0.6203
Epoch 30/100
13/13 [==============================] - 0s 920us/step - loss: 0.6189
Epoch 31/100
13/13 [==============================] - 0s 921us/step - loss: 0.6180
Epoch 32/100
13/13 [==============================] - 0s 997us/step - loss: 0.6174
Epoch 33/100
13/13 [==============================] - 0s 921us/step - loss: 0.6161
Epoch 34/100
13/13 [==============================] - 0s 844us/step - loss: 0.6152
Epoch 35/100
13/13 [==============================] - 0s 921us/step - loss: 0.6152
Epoch 36/100
13/13 [==============================] - 0s 921us/step - loss: 0.6134
Epoch 37/100
13/13 [==============================] - 0s 997us/step - loss: 0.6135
Epoch 38/100
13/13 [==============================] - ETA: 0s - loss: 0.662 - 0s 921us/step - loss: 0.6120
Epoch 39/100
13/13 [==============================] - 0s 921us/step - loss: 0.6120
Epoch 40/100
13/13 [==============================] - 0s 921us/step - loss: 0.6115
Epoch 41/100
13/13 [==============================] - 0s 997us/step - loss: 0.6102
Epoch 42/100
13/13 [==============================] - 0s 997us/step - loss: 0.6091
Epoch 43/100
13/13 [==============================] - 0s 997us/step - loss: 0.6087
Epoch 44/100
13/13 [==============================] - 0s 997us/step - loss: 0.6083
Epoch 45/100
13/13 [==============================] - 0s 844us/step - loss: 0.6077
Epoch 46/100
13/13 [==============================] - 0s 921us/step - loss: 0.6075
Epoch 47/100
13/13 [==============================] - 0s 844us/step - loss: 0.6069
Epoch 48/100
13/13 [==============================] - 0s 921us/step - loss: 0.6060
Epoch 49/100
13/13 [==============================] - 0s 844us/step - loss: 0.6055
Epoch 50/100
13/13 [==============================] - 0s 921us/step - loss: 0.6052
Epoch 51/100
13/13 [==============================] - 0s 844us/step - loss: 0.6043
Epoch 52/100
13/13 [==============================] - 0s 921us/step - loss: 0.6032
Epoch 53/100
13/13 [==============================] - 0s 921us/step - loss: 0.6028
Epoch 54/100
13/13 [==============================] - 0s 844us/step - loss: 0.6026
Epoch 55/100
13/13 [==============================] - 0s 921us/step - loss: 0.6013
Epoch 56/100
13/13 [==============================] - 0s 844us/step - loss: 0.6010
Epoch 57/100
13/13 [==============================] - 0s 997us/step - loss: 0.6000
Epoch 58/100
13/13 [==============================] - 0s 921us/step - loss: 0.5994
Epoch 59/100
13/13 [==============================] - 0s 844us/step - loss: 0.5984
Epoch 60/100
13/13 [==============================] - 0s 997us/step - loss: 0.5978
Epoch 61/100
13/13 [==============================] - 0s 844us/step - loss: 0.5976
Epoch 62/100
13/13 [==============================] - 0s 844us/step - loss: 0.5966
Epoch 63/100
13/13 [==============================] - 0s 997us/step - loss: 0.5955
Epoch 64/100
13/13 [==============================] - 0s 844us/step - loss: 0.5951
Epoch 65/100
13/13 [==============================] - 0s 844us/step - loss: 0.5933
Epoch 66/100
13/13 [==============================] - 0s 997us/step - loss: 0.5939
Epoch 67/100
13/13 [==============================] - 0s 997us/step - loss: 0.5926
Epoch 68/100
13/13 [==============================] - 0s 921us/step - loss: 0.5921
Epoch 69/100
13/13 [==============================] - 0s 997us/step - loss: 0.5906
Epoch 70/100
13/13 [==============================] - 0s 844us/step - loss: 0.5896
Epoch 71/100
13/13 [==============================] - 0s 921us/step - loss: 0.5892
Epoch 72/100
13/13 [==============================] - 0s 844us/step - loss: 0.5875
Epoch 73/100
13/13 [==============================] - 0s 844us/step - loss: 0.5865
Epoch 74/100
13/13 [==============================] - 0s 844us/step - loss: 0.5858
Epoch 75/100
13/13 [==============================] - 0s 997us/step - loss: 0.5852
Epoch 76/100
13/13 [==============================] - 0s 921us/step - loss: 0.5839
Epoch 77/100
13/13 [==============================] - 0s 921us/step - loss: 0.5833
Epoch 78/100
13/13 [==============================] - 0s 767us/step - loss: 0.5823
Epoch 79/100
13/13 [==============================] - 0s 921us/step - loss: 0.5821
Epoch 80/100
13/13 [==============================] - 0s 921us/step - loss: 0.5806
Epoch 81/100
13/13 [==============================] - 0s 997us/step - loss: 0.5810
Epoch 82/100
13/13 [==============================] - 0s 844us/step - loss: 0.5793
Epoch 83/100
13/13 [==============================] - 0s 921us/step - loss: 0.5782
Epoch 84/100
13/13 [==============================] - 0s 997us/step - loss: 0.5785
Epoch 85/100
13/13 [==============================] - 0s 997us/step - loss: 0.5771
Epoch 86/100
13/13 [==============================] - 0s 844us/step - loss: 0.5768
Epoch 87/100
13/13 [==============================] - 0s 997us/step - loss: 0.5759
Epoch 88/100
13/13 [==============================] - 0s 844us/step - loss: 0.5759
Epoch 89/100
13/13 [==============================] - 0s 767us/step - loss: 0.5745
Epoch 90/100
13/13 [==============================] - 0s 921us/step - loss: 0.5740
Epoch 91/100
13/13 [==============================] - 0s 921us/step - loss: 0.5733
Epoch 92/100
13/13 [==============================] - 0s 844us/step - loss: 0.5743
Epoch 93/100
13/13 [==============================] - 0s 921us/step - loss: 0.5724
Epoch 94/100
13/13 [==============================] - 0s 844us/step - loss: 0.5730
Epoch 95/100
13/13 [==============================] - 0s 921us/step - loss: 0.5710
Epoch 96/100
13/13 [==============================] - 0s 844us/step - loss: 0.5720
Epoch 97/100
13/13 [==============================] - 0s 844us/step - loss: 0.5715
Epoch 98/100
13/13 [==============================] - 0s 921us/step - loss: 0.5709
Epoch 99/100
13/13 [==============================] - 0s 767us/step - loss: 0.5703
Epoch 100/100
13/13 [==============================] - 0s 997us/step - loss: 0.5700
###################################################################### Accuracy: 89.8575817392805
Epoch 1/100
13/13 [==============================] - 0s 921us/step - loss: 1.0182
Epoch 2/100
13/13 [==============================] - 0s 997us/step - loss: 1.0140
Epoch 3/100
13/13 [==============================] - 0s 997us/step - loss: 1.0068
Epoch 4/100
13/13 [==============================] - 0s 844us/step - loss: 0.9952
Epoch 5/100
13/13 [==============================] - 0s 997us/step - loss: 0.9784
Epoch 6/100
13/13 [==============================] - 0s 844us/step - loss: 0.9573
Epoch 7/100
13/13 [==============================] - 0s 997us/step - loss: 0.9308
Epoch 8/100
13/13 [==============================] - 0s 921us/step - loss: 0.9015
Epoch 9/100
13/13 [==============================] - 0s 844us/step - loss: 0.8704
Epoch 10/100
13/13 [==============================] - 0s 997us/step - loss: 0.8373
Epoch 11/100
13/13 [==============================] - 0s 843us/step - loss: 0.8027
Epoch 12/100
13/13 [==============================] - 0s 921us/step - loss: 0.7699
Epoch 13/100
13/13 [==============================] - 0s 844us/step - loss: 0.7406
Epoch 14/100
13/13 [==============================] - 0s 844us/step - loss: 0.7149
Epoch 15/100
13/13 [==============================] - 0s 921us/step - loss: 0.6942
Epoch 16/100
13/13 [==============================] - 0s 997us/step - loss: 0.6783
Epoch 17/100
13/13 [==============================] - 0s 997us/step - loss: 0.6674
Epoch 18/100
13/13 [==============================] - 0s 844us/step - loss: 0.6592
Epoch 19/100
13/13 [==============================] - 0s 921us/step - loss: 0.6532
Epoch 20/100
13/13 [==============================] - 0s 921us/step - loss: 0.6495
Epoch 21/100
13/13 [==============================] - 0s 767us/step - loss: 0.6462
Epoch 22/100
13/13 [==============================] - 0s 997us/step - loss: 0.6437
Epoch 23/100
13/13 [==============================] - 0s 844us/step - loss: 0.6419
Epoch 24/100
13/13 [==============================] - 0s 844us/step - loss: 0.6399
Epoch 25/100
13/13 [==============================] - 0s 921us/step - loss: 0.6375
Epoch 26/100
13/13 [==============================] - 0s 921us/step - loss: 0.6361
Epoch 27/100
13/13 [==============================] - 0s 920us/step - loss: 0.6345
Epoch 28/100
13/13 [==============================] - 0s 997us/step - loss: 0.6330
Epoch 29/100
13/13 [==============================] - 0s 921us/step - loss: 0.6319
Epoch 30/100
13/13 [==============================] - 0s 921us/step - loss: 0.6299
Epoch 31/100
13/13 [==============================] - 0s 921us/step - loss: 0.6289
Epoch 32/100
13/13 [==============================] - 0s 997us/step - loss: 0.6272
Epoch 33/100
13/13 [==============================] - 0s 997us/step - loss: 0.6262
Epoch 34/100
13/13 [==============================] - 0s 921us/step - loss: 0.6249
Epoch 35/100
13/13 [==============================] - 0s 844us/step - loss: 0.6232
Epoch 36/100
13/13 [==============================] - 0s 921us/step - loss: 0.6223
Epoch 37/100
13/13 [==============================] - 0s 997us/step - loss: 0.6210
Epoch 38/100
13/13 [==============================] - 0s 844us/step - loss: 0.6197
Epoch 39/100
13/13 [==============================] - 0s 767us/step - loss: 0.6186
Epoch 40/100
13/13 [==============================] - 0s 997us/step - loss: 0.6174
Epoch 41/100
13/13 [==============================] - 0s 844us/step - loss: 0.6166
Epoch 42/100
13/13 [==============================] - ETA: 0s - loss: 0.796 - 0s 998us/step - loss: 0.6158
Epoch 43/100
13/13 [==============================] - 0s 844us/step - loss: 0.6150
Epoch 44/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6139
Epoch 45/100
13/13 [==============================] - 0s 921us/step - loss: 0.6128
Epoch 46/100
13/13 [==============================] - 0s 844us/step - loss: 0.6128
Epoch 47/100
13/13 [==============================] - 0s 921us/step - loss: 0.6117
Epoch 48/100
13/13 [==============================] - 0s 844us/step - loss: 0.6108
Epoch 49/100
13/13 [==============================] - 0s 921us/step - loss: 0.6098
Epoch 50/100
13/13 [==============================] - 0s 844us/step - loss: 0.6095
Epoch 51/100
13/13 [==============================] - 0s 921us/step - loss: 0.6087
Epoch 52/100
13/13 [==============================] - 0s 997us/step - loss: 0.6081
Epoch 53/100
13/13 [==============================] - 0s 997us/step - loss: 0.6075
Epoch 54/100
13/13 [==============================] - 0s 921us/step - loss: 0.6065
Epoch 55/100
13/13 [==============================] - ETA: 0s - loss: 0.535 - 0s 921us/step - loss: 0.6057
Epoch 56/100
13/13 [==============================] - 0s 921us/step - loss: 0.6053
Epoch 57/100
13/13 [==============================] - 0s 767us/step - loss: 0.6058
Epoch 58/100
13/13 [==============================] - 0s 997us/step - loss: 0.6047
Epoch 59/100
13/13 [==============================] - 0s 921us/step - loss: 0.6044
Epoch 60/100
13/13 [==============================] - 0s 844us/step - loss: 0.6033
Epoch 61/100
13/13 [==============================] - 0s 997us/step - loss: 0.6021
Epoch 62/100
13/13 [==============================] - 0s 921us/step - loss: 0.6022
Epoch 63/100
13/13 [==============================] - 0s 844us/step - loss: 0.6020
Epoch 64/100
13/13 [==============================] - 0s 921us/step - loss: 0.6012
Epoch 65/100
13/13 [==============================] - 0s 921us/step - loss: 0.6007
Epoch 66/100
13/13 [==============================] - 0s 767us/step - loss: 0.6002
Epoch 67/100
13/13 [==============================] - 0s 921us/step - loss: 0.5995
Epoch 68/100
13/13 [==============================] - 0s 844us/step - loss: 0.5997
Epoch 69/100
13/13 [==============================] - 0s 844us/step - loss: 0.5978
Epoch 70/100
13/13 [==============================] - 0s 921us/step - loss: 0.5973
Epoch 71/100
13/13 [==============================] - 0s 921us/step - loss: 0.5969
Epoch 72/100
13/13 [==============================] - 0s 920us/step - loss: 0.5965
Epoch 73/100
13/13 [==============================] - 0s 921us/step - loss: 0.5954
Epoch 74/100
13/13 [==============================] - 0s 921us/step - loss: 0.5951
Epoch 75/100
13/13 [==============================] - 0s 920us/step - loss: 0.5942
Epoch 76/100
13/13 [==============================] - 0s 921us/step - loss: 0.5939
Epoch 77/100
13/13 [==============================] - 0s 921us/step - loss: 0.5937
Epoch 78/100
13/13 [==============================] - 0s 844us/step - loss: 0.5930
Epoch 79/100
13/13 [==============================] - 0s 997us/step - loss: 0.5921
Epoch 80/100
13/13 [==============================] - 0s 921us/step - loss: 0.5914
Epoch 81/100
13/13 [==============================] - 0s 767us/step - loss: 0.5914
Epoch 82/100
13/13 [==============================] - 0s 997us/step - loss: 0.5905
Epoch 83/100
13/13 [==============================] - 0s 921us/step - loss: 0.5903
Epoch 84/100
13/13 [==============================] - 0s 921us/step - loss: 0.5903
Epoch 85/100
13/13 [==============================] - 0s 921us/step - loss: 0.5890
Epoch 86/100
13/13 [==============================] - 0s 921us/step - loss: 0.5882
Epoch 87/100
13/13 [==============================] - 0s 844us/step - loss: 0.5884
Epoch 88/100
13/13 [==============================] - 0s 844us/step - loss: 0.5869
Epoch 89/100
13/13 [==============================] - 0s 844us/step - loss: 0.5871
Epoch 90/100
13/13 [==============================] - 0s 921us/step - loss: 0.5866
Epoch 91/100
13/13 [==============================] - 0s 844us/step - loss: 0.5858
Epoch 92/100
13/13 [==============================] - 0s 921us/step - loss: 0.5859
Epoch 93/100
13/13 [==============================] - 0s 844us/step - loss: 0.5846
Epoch 94/100
13/13 [==============================] - 0s 921us/step - loss: 0.5836
Epoch 95/100
13/13 [==============================] - 0s 921us/step - loss: 0.5845
Epoch 96/100
13/13 [==============================] - 0s 920us/step - loss: 0.5844
Epoch 97/100
13/13 [==============================] - 0s 844us/step - loss: 0.5819
Epoch 98/100
13/13 [==============================] - 0s 844us/step - loss: 0.5824
Epoch 99/100
13/13 [==============================] - 0s 921us/step - loss: 0.5819
Epoch 100/100
13/13 [==============================] - 0s 921us/step - loss: 0.5816
###################################################################### Accuracy: 73.88934151224598
Epoch 1/100
13/13 [==============================] - 0s 921us/step - loss: 1.0018
Epoch 2/100
13/13 [==============================] - 0s 997us/step - loss: 0.9975
Epoch 3/100
13/13 [==============================] - 0s 920us/step - loss: 0.9892
Epoch 4/100
13/13 [==============================] - 0s 844us/step - loss: 0.9770
Epoch 5/100
13/13 [==============================] - 0s 921us/step - loss: 0.9613
Epoch 6/100
13/13 [==============================] - 0s 844us/step - loss: 0.9419
Epoch 7/100
13/13 [==============================] - 0s 921us/step - loss: 0.9189
Epoch 8/100
13/13 [==============================] - 0s 998us/step - loss: 0.8937
Epoch 9/100
13/13 [==============================] - 0s 767us/step - loss: 0.8676
Epoch 10/100
13/13 [==============================] - 0s 921us/step - loss: 0.8421
Epoch 11/100
13/13 [==============================] - 0s 844us/step - loss: 0.8177
Epoch 12/100
13/13 [==============================] - 0s 844us/step - loss: 0.7953
Epoch 13/100
13/13 [==============================] - 0s 921us/step - loss: 0.7758
Epoch 14/100
13/13 [==============================] - 0s 844us/step - loss: 0.7584
Epoch 15/100
13/13 [==============================] - 0s 844us/step - loss: 0.7428
Epoch 16/100
13/13 [==============================] - 0s 844us/step - loss: 0.7282
Epoch 17/100
13/13 [==============================] - 0s 921us/step - loss: 0.7138
Epoch 18/100
13/13 [==============================] - 0s 921us/step - loss: 0.6999
Epoch 19/100
13/13 [==============================] - 0s 844us/step - loss: 0.6875
Epoch 20/100
13/13 [==============================] - 0s 997us/step - loss: 0.6753
Epoch 21/100
13/13 [==============================] - 0s 844us/step - loss: 0.6647
Epoch 22/100
13/13 [==============================] - 0s 844us/step - loss: 0.6548
Epoch 23/100
13/13 [==============================] - 0s 844us/step - loss: 0.6468
Epoch 24/100
13/13 [==============================] - 0s 920us/step - loss: 0.6400
Epoch 25/100
13/13 [==============================] - 0s 844us/step - loss: 0.6350
Epoch 26/100
13/13 [==============================] - 0s 844us/step - loss: 0.6305
Epoch 27/100
13/13 [==============================] - 0s 844us/step - loss: 0.6272
Epoch 28/100
13/13 [==============================] - 0s 844us/step - loss: 0.6243
Epoch 29/100
13/13 [==============================] - 0s 921us/step - loss: 0.6210
Epoch 30/100
13/13 [==============================] - 0s 844us/step - loss: 0.6194
Epoch 31/100
13/13 [==============================] - 0s 844us/step - loss: 0.6166
Epoch 32/100
13/13 [==============================] - 0s 997us/step - loss: 0.6148
Epoch 33/100
13/13 [==============================] - 0s 997us/step - loss: 0.6147
Epoch 34/100
13/13 [==============================] - 0s 844us/step - loss: 0.6120
Epoch 35/100
13/13 [==============================] - 0s 920us/step - loss: 0.6108
Epoch 36/100
13/13 [==============================] - 0s 921us/step - loss: 0.6095
Epoch 37/100
13/13 [==============================] - 0s 921us/step - loss: 0.6078
Epoch 38/100
13/13 [==============================] - 0s 921us/step - loss: 0.6069
Epoch 39/100
13/13 [==============================] - 0s 921us/step - loss: 0.6048
Epoch 40/100
13/13 [==============================] - 0s 921us/step - loss: 0.6042
Epoch 41/100
13/13 [==============================] - 0s 921us/step - loss: 0.6026
Epoch 42/100
13/13 [==============================] - 0s 1ms/step - loss: 0.6018
Epoch 43/100
13/13 [==============================] - 0s 844us/step - loss: 0.6005
Epoch 44/100
13/13 [==============================] - 0s 921us/step - loss: 0.5989
Epoch 45/100
13/13 [==============================] - 0s 921us/step - loss: 0.5978
Epoch 46/100
13/13 [==============================] - 0s 844us/step - loss: 0.5971
Epoch 47/100
13/13 [==============================] - 0s 921us/step - loss: 0.5954
Epoch 48/100
13/13 [==============================] - 0s 921us/step - loss: 0.5947
Epoch 49/100
13/13 [==============================] - 0s 844us/step - loss: 0.5936
Epoch 50/100
13/13 [==============================] - 0s 997us/step - loss: 0.5922
Epoch 51/100
13/13 [==============================] - 0s 844us/step - loss: 0.5915
Epoch 52/100
13/13 [==============================] - 0s 921us/step - loss: 0.5901
Epoch 53/100
13/13 [==============================] - 0s 921us/step - loss: 0.5893
Epoch 54/100
13/13 [==============================] - 0s 921us/step - loss: 0.5882
Epoch 55/100
13/13 [==============================] - 0s 921us/step - loss: 0.5868
Epoch 56/100
13/13 [==============================] - 0s 921us/step - loss: 0.5866
Epoch 57/100
13/13 [==============================] - 0s 921us/step - loss: 0.5853
Epoch 58/100
13/13 [==============================] - 0s 921us/step - loss: 0.5843
Epoch 59/100
13/13 [==============================] - 0s 844us/step - loss: 0.5832
Epoch 60/100
13/13 [==============================] - 0s 844us/step - loss: 0.5830
Epoch 61/100
13/13 [==============================] - 0s 844us/step - loss: 0.5820
Epoch 62/100
13/13 [==============================] - 0s 844us/step - loss: 0.5813
Epoch 63/100
13/13 [==============================] - 0s 921us/step - loss: 0.5803
Epoch 64/100
13/13 [==============================] - 0s 997us/step - loss: 0.5794
Epoch 65/100
13/13 [==============================] - 0s 844us/step - loss: 0.5786
Epoch 66/100
13/13 [==============================] - 0s 921us/step - loss: 0.5779
Epoch 67/100
13/13 [==============================] - 0s 844us/step - loss: 0.5772
Epoch 68/100
13/13 [==============================] - 0s 920us/step - loss: 0.5764
Epoch 69/100
13/13 [==============================] - 0s 844us/step - loss: 0.5758
Epoch 70/100
13/13 [==============================] - 0s 844us/step - loss: 0.5751
Epoch 71/100
13/13 [==============================] - 0s 921us/step - loss: 0.5746
Epoch 72/100
13/13 [==============================] - 0s 767us/step - loss: 0.5739
Epoch 73/100
13/13 [==============================] - 0s 921us/step - loss: 0.5737
Epoch 74/100
13/13 [==============================] - 0s 844us/step - loss: 0.5729
Epoch 75/100
13/13 [==============================] - 0s 1ms/step - loss: 0.5723
Epoch 76/100
13/13 [==============================] - 0s 921us/step - loss: 0.5718
Epoch 77/100
13/13 [==============================] - 0s 844us/step - loss: 0.5720
Epoch 78/100
13/13 [==============================] - 0s 997us/step - loss: 0.5701
Epoch 79/100
13/13 [==============================] - 0s 997us/step - loss: 0.5706
Epoch 80/100
13/13 [==============================] - 0s 844us/step - loss: 0.5699
Epoch 81/100
13/13 [==============================] - 0s 997us/step - loss: 0.5686
Epoch 82/100
13/13 [==============================] - 0s 921us/step - loss: 0.5690
Epoch 83/100
13/13 [==============================] - 0s 921us/step - loss: 0.5677
Epoch 84/100
13/13 [==============================] - 0s 921us/step - loss: 0.5681
Epoch 85/100
13/13 [==============================] - 0s 844us/step - loss: 0.5673
Epoch 86/100
13/13 [==============================] - 0s 921us/step - loss: 0.5666
Epoch 87/100
13/13 [==============================] - 0s 844us/step - loss: 0.5659
Epoch 88/100
13/13 [==============================] - 0s 920us/step - loss: 0.5654
Epoch 89/100
13/13 [==============================] - 0s 921us/step - loss: 0.5651
Epoch 90/100
13/13 [==============================] - 0s 767us/step - loss: 0.5644
Epoch 91/100
13/13 [==============================] - 0s 921us/step - loss: 0.5651
Epoch 92/100
13/13 [==============================] - 0s 844us/step - loss: 0.5634
Epoch 93/100
13/13 [==============================] - 0s 844us/step - loss: 0.5636
Epoch 94/100
13/13 [==============================] - 0s 921us/step - loss: 0.5626
Epoch 95/100
13/13 [==============================] - 0s 921us/step - loss: 0.5625
Epoch 96/100
13/13 [==============================] - 0s 844us/step - loss: 0.5615
Epoch 97/100
13/13 [==============================] - 0s 997us/step - loss: 0.5616
Epoch 98/100
13/13 [==============================] - 0s 844us/step - loss: 0.5616
Epoch 99/100
13/13 [==============================] - 0s 921us/step - loss: 0.5610
Epoch 100/100
13/13 [==============================] - 0s 921us/step - loss: 0.5610
###################################################################### Accuracy: 71.03973414536173
Epoch 1/150
13/13 [==============================] - 0s 844us/step - loss: 1.0181
Epoch 2/150
13/13 [==============================] - 0s 997us/step - loss: 1.0139
Epoch 3/150
13/13 [==============================] - 0s 921us/step - loss: 1.0058
Epoch 4/150
13/13 [==============================] - 0s 997us/step - loss: 0.9929
Epoch 5/150
13/13 [==============================] - 0s 998us/step - loss: 0.9753
Epoch 6/150
13/13 [==============================] - 0s 921us/step - loss: 0.9532
Epoch 7/150
13/13 [==============================] - 0s 997us/step - loss: 0.9268
Epoch 8/150
13/13 [==============================] - 0s 921us/step - loss: 0.8969
Epoch 9/150
13/13 [==============================] - 0s 921us/step - loss: 0.8642
Epoch 10/150
13/13 [==============================] - 0s 844us/step - loss: 0.8298
Epoch 11/150
13/13 [==============================] - 0s 844us/step - loss: 0.7957
Epoch 12/150
13/13 [==============================] - 0s 921us/step - loss: 0.7627
Epoch 13/150
13/13 [==============================] - 0s 921us/step - loss: 0.7313
Epoch 14/150
13/13 [==============================] - 0s 921us/step - loss: 0.7042
Epoch 15/150
13/13 [==============================] - 0s 921us/step - loss: 0.6818
Epoch 16/150
13/13 [==============================] - 0s 921us/step - loss: 0.6647
Epoch 17/150
13/13 [==============================] - 0s 921us/step - loss: 0.6527
Epoch 18/150
13/13 [==============================] - 0s 921us/step - loss: 0.6448
Epoch 19/150
13/13 [==============================] - 0s 844us/step - loss: 0.6404
Epoch 20/150
13/13 [==============================] - 0s 920us/step - loss: 0.6366
Epoch 21/150
13/13 [==============================] - 0s 997us/step - loss: 0.6341
Epoch 22/150
13/13 [==============================] - 0s 921us/step - loss: 0.6318
Epoch 23/150
13/13 [==============================] - 0s 921us/step - loss: 0.6295
Epoch 24/150
13/13 [==============================] - 0s 921us/step - loss: 0.6275
Epoch 25/150
13/13 [==============================] - 0s 767us/step - loss: 0.6257
Epoch 26/150
13/13 [==============================] - 0s 997us/step - loss: 0.6239
Epoch 27/150
13/13 [==============================] - 0s 921us/step - loss: 0.6221
Epoch 28/150
13/13 [==============================] - 0s 921us/step - loss: 0.6201
Epoch 29/150
13/13 [==============================] - 0s 997us/step - loss: 0.6183
Epoch 30/150
13/13 [==============================] - 0s 844us/step - loss: 0.6163
Epoch 31/150
13/13 [==============================] - 0s 921us/step - loss: 0.6149
Epoch 32/150
13/13 [==============================] - 0s 921us/step - loss: 0.6137
Epoch 33/150
13/13 [==============================] - 0s 844us/step - loss: 0.6112
Epoch 34/150
13/13 [==============================] - 0s 844us/step - loss: 0.6102
Epoch 35/150
13/13 [==============================] - ETA: 0s - loss: 0.492 - 0s 844us/step - loss: 0.6090
Epoch 36/150
13/13 [==============================] - 0s 844us/step - loss: 0.6071
Epoch 37/150
13/13 [==============================] - 0s 844us/step - loss: 0.6063
Epoch 38/150
13/13 [==============================] - 0s 844us/step - loss: 0.6051
Epoch 39/150
13/13 [==============================] - 0s 844us/step - loss: 0.6031
Epoch 40/150
13/13 [==============================] - 0s 921us/step - loss: 0.6020
Epoch 41/150
13/13 [==============================] - 0s 921us/step - loss: 0.6009
Epoch 42/150
13/13 [==============================] - 0s 921us/step - loss: 0.6002
Epoch 43/150
13/13 [==============================] - 0s 921us/step - loss: 0.5986
Epoch 44/150
13/13 [==============================] - 0s 921us/step - loss: 0.5974
Epoch 45/150
13/13 [==============================] - 0s 997us/step - loss: 0.5961
Epoch 46/150
13/13 [==============================] - 0s 844us/step - loss: 0.5946
Epoch 47/150
13/13 [==============================] - 0s 920us/step - loss: 0.5935
Epoch 48/150
13/13 [==============================] - 0s 844us/step - loss: 0.5917
Epoch 49/150
13/13 [==============================] - 0s 844us/step - loss: 0.5908
Epoch 50/150
13/13 [==============================] - 0s 920us/step - loss: 0.5899
Epoch 51/150
13/13 [==============================] - 0s 767us/step - loss: 0.5886
Epoch 52/150
13/13 [==============================] - 0s 921us/step - loss: 0.5872
Epoch 53/150
13/13 [==============================] - 0s 844us/step - loss: 0.5868
Epoch 54/150
13/13 [==============================] - 0s 997us/step - loss: 0.5852
Epoch 55/150
13/13 [==============================] - 0s 844us/step - loss: 0.5841
Epoch 56/150
13/13 [==============================] - 0s 844us/step - loss: 0.5833
Epoch 57/150
13/13 [==============================] - 0s 921us/step - loss: 0.5827
Epoch 58/150
13/13 [==============================] - 0s 921us/step - loss: 0.5813
Epoch 59/150
13/13 [==============================] - 0s 844us/step - loss: 0.5810
Epoch 60/150
13/13 [==============================] - 0s 997us/step - loss: 0.5797
Epoch 61/150
13/13 [==============================] - 0s 920us/step - loss: 0.5789
Epoch 62/150
13/13 [==============================] - 0s 921us/step - loss: 0.5782
Epoch 63/150
13/13 [==============================] - 0s 997us/step - loss: 0.5764
Epoch 64/150
13/13 [==============================] - 0s 767us/step - loss: 0.5761
Epoch 65/150
13/13 [==============================] - 0s 921us/step - loss: 0.5758
Epoch 66/150
13/13 [==============================] - 0s 920us/step - loss: 0.5742
Epoch 67/150
13/13 [==============================] - 0s 844us/step - loss: 0.5732
Epoch 68/150
13/13 [==============================] - 0s 921us/step - loss: 0.5733
Epoch 69/150
13/13 [==============================] - 0s 844us/step - loss: 0.5718
Epoch 70/150
13/13 [==============================] - 0s 844us/step - loss: 0.5720
Epoch 71/150
13/13 [==============================] - 0s 921us/step - loss: 0.5705
Epoch 72/150
13/13 [==============================] - 0s 844us/step - loss: 0.5706
Epoch 73/150
13/13 [==============================] - 0s 844us/step - loss: 0.5687
Epoch 74/150
13/13 [==============================] - 0s 921us/step - loss: 0.5689
Epoch 75/150
13/13 [==============================] - 0s 920us/step - loss: 0.5681
Epoch 76/150
13/13 [==============================] - 0s 997us/step - loss: 0.5675
Epoch 77/150
13/13 [==============================] - 0s 921us/step - loss: 0.5667
Epoch 78/150
13/13 [==============================] - 0s 844us/step - loss: 0.5661
Epoch 79/150
13/13 [==============================] - 0s 844us/step - loss: 0.5649
Epoch 80/150
13/13 [==============================] - 0s 844us/step - loss: 0.5650
Epoch 81/150
13/13 [==============================] - 0s 767us/step - loss: 0.5635
Epoch 82/150
13/13 [==============================] - 0s 921us/step - loss: 0.5634
Epoch 83/150
13/13 [==============================] - 0s 921us/step - loss: 0.5625
Epoch 84/150
13/13 [==============================] - 0s 844us/step - loss: 0.5625
Epoch 85/150
13/13 [==============================] - 0s 921us/step - loss: 0.5616
Epoch 86/150
13/13 [==============================] - 0s 844us/step - loss: 0.5613
Epoch 87/150
13/13 [==============================] - 0s 844us/step - loss: 0.5605
Epoch 88/150
13/13 [==============================] - 0s 997us/step - loss: 0.5602
Epoch 89/150
13/13 [==============================] - 0s 921us/step - loss: 0.5595
Epoch 90/150
13/13 [==============================] - 0s 844us/step - loss: 0.5592
Epoch 91/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5587
Epoch 92/150
13/13 [==============================] - 0s 844us/step - loss: 0.5581
Epoch 93/150
13/13 [==============================] - 0s 920us/step - loss: 0.5578
Epoch 94/150
13/13 [==============================] - 0s 844us/step - loss: 0.5573
Epoch 95/150
13/13 [==============================] - 0s 921us/step - loss: 0.5569
Epoch 96/150
13/13 [==============================] - 0s 844us/step - loss: 0.5571
Epoch 97/150
13/13 [==============================] - 0s 844us/step - loss: 0.5559
Epoch 98/150
13/13 [==============================] - 0s 921us/step - loss: 0.5557
Epoch 99/150
13/13 [==============================] - 0s 844us/step - loss: 0.5556
Epoch 100/150
13/13 [==============================] - 0s 921us/step - loss: 0.5551
Epoch 101/150
13/13 [==============================] - 0s 844us/step - loss: 0.5545
Epoch 102/150
13/13 [==============================] - 0s 997us/step - loss: 0.5540
Epoch 103/150
13/13 [==============================] - 0s 844us/step - loss: 0.5543
Epoch 104/150
13/13 [==============================] - 0s 844us/step - loss: 0.5540
Epoch 105/150
13/13 [==============================] - ETA: 0s - loss: 0.840 - 0s 844us/step - loss: 0.5529
Epoch 106/150
13/13 [==============================] - 0s 844us/step - loss: 0.5530
Epoch 107/150
13/13 [==============================] - 0s 921us/step - loss: 0.5522
Epoch 108/150
13/13 [==============================] - 0s 844us/step - loss: 0.5526
Epoch 109/150
13/13 [==============================] - 0s 844us/step - loss: 0.5528
Epoch 110/150
13/13 [==============================] - 0s 997us/step - loss: 0.5511
Epoch 111/150
13/13 [==============================] - 0s 844us/step - loss: 0.5518
Epoch 112/150
13/13 [==============================] - 0s 997us/step - loss: 0.5509
Epoch 113/150
13/13 [==============================] - 0s 921us/step - loss: 0.5508
Epoch 114/150
13/13 [==============================] - 0s 844us/step - loss: 0.5505
Epoch 115/150
13/13 [==============================] - 0s 844us/step - loss: 0.5496
Epoch 116/150
13/13 [==============================] - 0s 920us/step - loss: 0.5496
Epoch 117/150
13/13 [==============================] - 0s 844us/step - loss: 0.5506
Epoch 118/150
13/13 [==============================] - 0s 844us/step - loss: 0.5489
Epoch 119/150
13/13 [==============================] - 0s 921us/step - loss: 0.5495
Epoch 120/150
13/13 [==============================] - 0s 844us/step - loss: 0.5489
Epoch 121/150
13/13 [==============================] - 0s 997us/step - loss: 0.5489
Epoch 122/150
13/13 [==============================] - 0s 921us/step - loss: 0.5481
Epoch 123/150
13/13 [==============================] - 0s 844us/step - loss: 0.5475
Epoch 124/150
13/13 [==============================] - 0s 767us/step - loss: 0.5480
Epoch 125/150
13/13 [==============================] - 0s 844us/step - loss: 0.5476
Epoch 126/150
13/13 [==============================] - 0s 844us/step - loss: 0.5479
Epoch 127/150
13/13 [==============================] - 0s 844us/step - loss: 0.5463
Epoch 128/150
13/13 [==============================] - 0s 921us/step - loss: 0.5475
Epoch 129/150
13/13 [==============================] - 0s 921us/step - loss: 0.5469
Epoch 130/150
13/13 [==============================] - 0s 844us/step - loss: 0.5462
Epoch 131/150
13/13 [==============================] - 0s 844us/step - loss: 0.5462
Epoch 132/150
13/13 [==============================] - 0s 997us/step - loss: 0.5458
Epoch 133/150
13/13 [==============================] - 0s 921us/step - loss: 0.5460
Epoch 134/150
13/13 [==============================] - 0s 844us/step - loss: 0.5459
Epoch 135/150
13/13 [==============================] - 0s 921us/step - loss: 0.5460
Epoch 136/150
13/13 [==============================] - 0s 921us/step - loss: 0.5456
Epoch 137/150
13/13 [==============================] - 0s 921us/step - loss: 0.5445
Epoch 138/150
13/13 [==============================] - 0s 921us/step - loss: 0.5454
Epoch 139/150
13/13 [==============================] - 0s 921us/step - loss: 0.5443
Epoch 140/150
13/13 [==============================] - 0s 844us/step - loss: 0.5448
Epoch 141/150
13/13 [==============================] - 0s 921us/step - loss: 0.5442
Epoch 142/150
13/13 [==============================] - ETA: 0s - loss: 0.625 - 0s 844us/step - loss: 0.5443
Epoch 143/150
13/13 [==============================] - 0s 920us/step - loss: 0.5440
Epoch 144/150
13/13 [==============================] - 0s 921us/step - loss: 0.5433
Epoch 145/150
13/13 [==============================] - 0s 921us/step - loss: 0.5428
Epoch 146/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5444
Epoch 147/150
13/13 [==============================] - 0s 997us/step - loss: 0.5432
Epoch 148/150
13/13 [==============================] - 0s 921us/step - loss: 0.5430
Epoch 149/150
13/13 [==============================] - 0s 921us/step - loss: 0.5428
Epoch 150/150
13/13 [==============================] - 0s 921us/step - loss: 0.5420
###################################################################### Accuracy: 73.91581979275595
Epoch 1/150
 1/13 [=>............................] - ETA: 0s - loss: 1.0432WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
13/13 [==============================] - 0s 1ms/step - loss: 0.9838
Epoch 2/150
13/13 [==============================] - 0s 921us/step - loss: 0.9755
Epoch 3/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9619
Epoch 4/150
13/13 [==============================] - 0s 921us/step - loss: 0.9422
Epoch 5/150
13/13 [==============================] - 0s 997us/step - loss: 0.9176
Epoch 6/150
13/13 [==============================] - 0s 997us/step - loss: 0.8885
Epoch 7/150
13/13 [==============================] - 0s 922us/step - loss: 0.8579
Epoch 8/150
13/13 [==============================] - 0s 844us/step - loss: 0.8276
Epoch 9/150
13/13 [==============================] - 0s 921us/step - loss: 0.7989
Epoch 10/150
13/13 [==============================] - 0s 844us/step - loss: 0.7752
Epoch 11/150
13/13 [==============================] - 0s 921us/step - loss: 0.7553
Epoch 12/150
13/13 [==============================] - 0s 844us/step - loss: 0.7376
Epoch 13/150
13/13 [==============================] - 0s 998us/step - loss: 0.7228
Epoch 14/150
13/13 [==============================] - 0s 844us/step - loss: 0.7114
Epoch 15/150
13/13 [==============================] - 0s 767us/step - loss: 0.7017
Epoch 16/150
13/13 [==============================] - 0s 997us/step - loss: 0.6922
Epoch 17/150
13/13 [==============================] - 0s 844us/step - loss: 0.6839
Epoch 18/150
13/13 [==============================] - 0s 844us/step - loss: 0.6761
Epoch 19/150
13/13 [==============================] - 0s 921us/step - loss: 0.6695
Epoch 20/150
13/13 [==============================] - 0s 997us/step - loss: 0.6629
Epoch 21/150
13/13 [==============================] - 0s 921us/step - loss: 0.6574
Epoch 22/150
13/13 [==============================] - 0s 767us/step - loss: 0.6530
Epoch 23/150
13/13 [==============================] - 0s 921us/step - loss: 0.6490
Epoch 24/150
13/13 [==============================] - ETA: 0s - loss: 0.548 - 0s 844us/step - loss: 0.6445
Epoch 25/150
13/13 [==============================] - 0s 997us/step - loss: 0.6412
Epoch 26/150
13/13 [==============================] - 0s 767us/step - loss: 0.6383
Epoch 27/150
13/13 [==============================] - 0s 844us/step - loss: 0.6358
Epoch 28/150
13/13 [==============================] - 0s 844us/step - loss: 0.6340
Epoch 29/150
13/13 [==============================] - 0s 921us/step - loss: 0.6318
Epoch 30/150
13/13 [==============================] - 0s 921us/step - loss: 0.6297
Epoch 31/150
13/13 [==============================] - 0s 921us/step - loss: 0.6283
Epoch 32/150
13/13 [==============================] - 0s 921us/step - loss: 0.6271
Epoch 33/150
13/13 [==============================] - 0s 921us/step - loss: 0.6250
Epoch 34/150
13/13 [==============================] - 0s 997us/step - loss: 0.6231
Epoch 35/150
13/13 [==============================] - 0s 921us/step - loss: 0.6216
Epoch 36/150
13/13 [==============================] - 0s 767us/step - loss: 0.6205
Epoch 37/150
13/13 [==============================] - 0s 767us/step - loss: 0.6191
Epoch 38/150
13/13 [==============================] - 0s 997us/step - loss: 0.6178
Epoch 39/150
13/13 [==============================] - 0s 844us/step - loss: 0.6157
Epoch 40/150
13/13 [==============================] - 0s 921us/step - loss: 0.6154
Epoch 41/150
13/13 [==============================] - 0s 844us/step - loss: 0.6141
Epoch 42/150
13/13 [==============================] - 0s 921us/step - loss: 0.6129
Epoch 43/150
13/13 [==============================] - 0s 767us/step - loss: 0.6109
Epoch 44/150
13/13 [==============================] - 0s 997us/step - loss: 0.6103
Epoch 45/150
13/13 [==============================] - 0s 844us/step - loss: 0.6084
Epoch 46/150
13/13 [==============================] - 0s 921us/step - loss: 0.6076
Epoch 47/150
13/13 [==============================] - 0s 997us/step - loss: 0.6070
Epoch 48/150
13/13 [==============================] - 0s 920us/step - loss: 0.6058
Epoch 49/150
13/13 [==============================] - 0s 921us/step - loss: 0.6043
Epoch 50/150
13/13 [==============================] - 0s 921us/step - loss: 0.6032
Epoch 51/150
13/13 [==============================] - 0s 997us/step - loss: 0.6031
Epoch 52/150
13/13 [==============================] - 0s 844us/step - loss: 0.6013
Epoch 53/150
13/13 [==============================] - 0s 997us/step - loss: 0.6008
Epoch 54/150
13/13 [==============================] - 0s 844us/step - loss: 0.5998
Epoch 55/150
13/13 [==============================] - 0s 844us/step - loss: 0.5992
Epoch 56/150
13/13 [==============================] - 0s 921us/step - loss: 0.5979
Epoch 57/150
13/13 [==============================] - 0s 844us/step - loss: 0.5971
Epoch 58/150
13/13 [==============================] - 0s 921us/step - loss: 0.5968
Epoch 59/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5955
Epoch 60/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5943
Epoch 61/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5943
Epoch 62/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5931
Epoch 63/150
13/13 [==============================] - 0s 921us/step - loss: 0.5918
Epoch 64/150
13/13 [==============================] - 0s 767us/step - loss: 0.5918
Epoch 65/150
13/13 [==============================] - 0s 844us/step - loss: 0.5906
Epoch 66/150
13/13 [==============================] - 0s 921us/step - loss: 0.5898
Epoch 67/150
13/13 [==============================] - 0s 844us/step - loss: 0.5888
Epoch 68/150
13/13 [==============================] - 0s 844us/step - loss: 0.5892
Epoch 69/150
13/13 [==============================] - 0s 921us/step - loss: 0.5880
Epoch 70/150
13/13 [==============================] - 0s 921us/step - loss: 0.5866
Epoch 71/150
13/13 [==============================] - 0s 844us/step - loss: 0.5862
Epoch 72/150
13/13 [==============================] - 0s 921us/step - loss: 0.5847
Epoch 73/150
13/13 [==============================] - 0s 921us/step - loss: 0.5846
Epoch 74/150
13/13 [==============================] - 0s 844us/step - loss: 0.5840
Epoch 75/150
13/13 [==============================] - 0s 844us/step - loss: 0.5838
Epoch 76/150
13/13 [==============================] - 0s 844us/step - loss: 0.5824
Epoch 77/150
13/13 [==============================] - 0s 921us/step - loss: 0.5824
Epoch 78/150
13/13 [==============================] - 0s 997us/step - loss: 0.5811
Epoch 79/150
13/13 [==============================] - 0s 844us/step - loss: 0.5798
Epoch 80/150
13/13 [==============================] - 0s 844us/step - loss: 0.5807
Epoch 81/150
13/13 [==============================] - 0s 844us/step - loss: 0.5781
Epoch 82/150
13/13 [==============================] - 0s 997us/step - loss: 0.5792
Epoch 83/150
13/13 [==============================] - 0s 921us/step - loss: 0.5775
Epoch 84/150
13/13 [==============================] - 0s 921us/step - loss: 0.5780
Epoch 85/150
13/13 [==============================] - 0s 921us/step - loss: 0.5765
Epoch 86/150
13/13 [==============================] - 0s 921us/step - loss: 0.5757
Epoch 87/150
13/13 [==============================] - 0s 844us/step - loss: 0.5768
Epoch 88/150
13/13 [==============================] - 0s 844us/step - loss: 0.5747
Epoch 89/150
13/13 [==============================] - 0s 844us/step - loss: 0.5745
Epoch 90/150
13/13 [==============================] - 0s 921us/step - loss: 0.5738
Epoch 91/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5740
Epoch 92/150
13/13 [==============================] - 0s 998us/step - loss: 0.5728
Epoch 93/150
13/13 [==============================] - 0s 997us/step - loss: 0.5733
Epoch 94/150
13/13 [==============================] - 0s 921us/step - loss: 0.5725
Epoch 95/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5713
Epoch 96/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5716
Epoch 97/150
13/13 [==============================] - 0s 997us/step - loss: 0.5710
Epoch 98/150
13/13 [==============================] - 0s 997us/step - loss: 0.5696
Epoch 99/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5703
Epoch 100/150
13/13 [==============================] - 0s 997us/step - loss: 0.5692
Epoch 101/150
13/13 [==============================] - 0s 997us/step - loss: 0.5694
Epoch 102/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5686
Epoch 103/150
13/13 [==============================] - 0s 997us/step - loss: 0.5684
Epoch 104/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5679
Epoch 105/150
13/13 [==============================] - 0s 997us/step - loss: 0.5679
Epoch 106/150
13/13 [==============================] - 0s 997us/step - loss: 0.5678
Epoch 107/150
13/13 [==============================] - 0s 997us/step - loss: 0.5680
Epoch 108/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5660
Epoch 109/150
13/13 [==============================] - 0s 997us/step - loss: 0.5663
Epoch 110/150
13/13 [==============================] - 0s 921us/step - loss: 0.5654
Epoch 111/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5661
Epoch 112/150
13/13 [==============================] - 0s 921us/step - loss: 0.5649
Epoch 113/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5647
Epoch 114/150
13/13 [==============================] - 0s 921us/step - loss: 0.5647
Epoch 115/150
13/13 [==============================] - 0s 997us/step - loss: 0.5649
Epoch 116/150
13/13 [==============================] - 0s 921us/step - loss: 0.5639
Epoch 117/150
13/13 [==============================] - 0s 997us/step - loss: 0.5639
Epoch 118/150
13/13 [==============================] - 0s 997us/step - loss: 0.5634
Epoch 119/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5637
Epoch 120/150
13/13 [==============================] - 0s 997us/step - loss: 0.5631
Epoch 121/150
13/13 [==============================] - 0s 920us/step - loss: 0.5636
Epoch 122/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5622
Epoch 123/150
13/13 [==============================] - 0s 997us/step - loss: 0.5625
Epoch 124/150
13/13 [==============================] - 0s 997us/step - loss: 0.5618
Epoch 125/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5628
Epoch 126/150
13/13 [==============================] - 0s 997us/step - loss: 0.5608
Epoch 127/150
13/13 [==============================] - 0s 921us/step - loss: 0.5610
Epoch 128/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5614
Epoch 129/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5608
Epoch 130/150
13/13 [==============================] - 0s 997us/step - loss: 0.5602
Epoch 131/150
13/13 [==============================] - 0s 997us/step - loss: 0.5605
Epoch 132/150
13/13 [==============================] - 0s 997us/step - loss: 0.5604
Epoch 133/150
13/13 [==============================] - 0s 997us/step - loss: 0.5586
Epoch 134/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5601
Epoch 135/150
13/13 [==============================] - 0s 997us/step - loss: 0.5603
Epoch 136/150
13/13 [==============================] - 0s 844us/step - loss: 0.5600
Epoch 137/150
13/13 [==============================] - 0s 997us/step - loss: 0.5590
Epoch 138/150
13/13 [==============================] - 0s 997us/step - loss: 0.5590
Epoch 139/150
13/13 [==============================] - 0s 997us/step - loss: 0.5582
Epoch 140/150
13/13 [==============================] - 0s 921us/step - loss: 0.5588
Epoch 141/150
13/13 [==============================] - 0s 921us/step - loss: 0.5581
Epoch 142/150
13/13 [==============================] - 0s 997us/step - loss: 0.5574
Epoch 143/150
13/13 [==============================] - 0s 921us/step - loss: 0.5572
Epoch 144/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5567
Epoch 145/150
13/13 [==============================] - 0s 921us/step - loss: 0.5579
Epoch 146/150
13/13 [==============================] - 0s 921us/step - loss: 0.5562
Epoch 147/150
13/13 [==============================] - 0s 921us/step - loss: 0.5568
Epoch 148/150
13/13 [==============================] - 0s 997us/step - loss: 0.5558
Epoch 149/150
13/13 [==============================] - 0s 997us/step - loss: 0.5570
Epoch 150/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5562
###################################################################### Accuracy: 73.37230868780092
Epoch 1/150
13/13 [==============================] - 0s 997us/step - loss: 0.9753
Epoch 2/150
13/13 [==============================] - 0s 921us/step - loss: 0.9689
Epoch 3/150
13/13 [==============================] - 0s 921us/step - loss: 0.9568
Epoch 4/150
13/13 [==============================] - 0s 997us/step - loss: 0.9390
Epoch 5/150
13/13 [==============================] - 0s 997us/step - loss: 0.9166
Epoch 6/150
13/13 [==============================] - 0s 921us/step - loss: 0.8898
Epoch 7/150
13/13 [==============================] - 0s 921us/step - loss: 0.8601
Epoch 8/150
13/13 [==============================] - 0s 844us/step - loss: 0.8280
Epoch 9/150
13/13 [==============================] - 0s 921us/step - loss: 0.7938
Epoch 10/150
13/13 [==============================] - 0s 921us/step - loss: 0.7599
Epoch 11/150
13/13 [==============================] - 0s 1ms/step - loss: 0.7290
Epoch 12/150
13/13 [==============================] - 0s 921us/step - loss: 0.7011
Epoch 13/150
13/13 [==============================] - 0s 767us/step - loss: 0.6780
Epoch 14/150
13/13 [==============================] - 0s 921us/step - loss: 0.6584
Epoch 15/150
13/13 [==============================] - 0s 921us/step - loss: 0.6444
Epoch 16/150
13/13 [==============================] - 0s 921us/step - loss: 0.6367
Epoch 17/150
13/13 [==============================] - 0s 844us/step - loss: 0.6310
Epoch 18/150
13/13 [==============================] - 0s 767us/step - loss: 0.6279
Epoch 19/150
13/13 [==============================] - 0s 921us/step - loss: 0.6245
Epoch 20/150
13/13 [==============================] - 0s 920us/step - loss: 0.6222
Epoch 21/150
13/13 [==============================] - 0s 921us/step - loss: 0.6203
Epoch 22/150
13/13 [==============================] - 0s 997us/step - loss: 0.6180
Epoch 23/150
13/13 [==============================] - 0s 997us/step - loss: 0.6172
Epoch 24/150
13/13 [==============================] - 0s 997us/step - loss: 0.6151
Epoch 25/150
13/13 [==============================] - 0s 843us/step - loss: 0.6137
Epoch 26/150
13/13 [==============================] - 0s 921us/step - loss: 0.6129
Epoch 27/150
13/13 [==============================] - 0s 767us/step - loss: 0.6115
Epoch 28/150
13/13 [==============================] - 0s 921us/step - loss: 0.6101
Epoch 29/150
13/13 [==============================] - 0s 844us/step - loss: 0.6079
Epoch 30/150
13/13 [==============================] - 0s 921us/step - loss: 0.6073
Epoch 31/150
13/13 [==============================] - 0s 921us/step - loss: 0.6054
Epoch 32/150
13/13 [==============================] - 0s 921us/step - loss: 0.6044
Epoch 33/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6028
Epoch 34/150
13/13 [==============================] - 0s 921us/step - loss: 0.6016
Epoch 35/150
13/13 [==============================] - 0s 921us/step - loss: 0.6008
Epoch 36/150
13/13 [==============================] - 0s 997us/step - loss: 0.5992
Epoch 37/150
13/13 [==============================] - 0s 844us/step - loss: 0.5976
Epoch 38/150
13/13 [==============================] - 0s 997us/step - loss: 0.5961
Epoch 39/150
13/13 [==============================] - 0s 844us/step - loss: 0.5958
Epoch 40/150
13/13 [==============================] - 0s 844us/step - loss: 0.5938
Epoch 41/150
13/13 [==============================] - 0s 921us/step - loss: 0.5935
Epoch 42/150
13/13 [==============================] - 0s 844us/step - loss: 0.5919
Epoch 43/150
13/13 [==============================] - 0s 997us/step - loss: 0.5915
Epoch 44/150
13/13 [==============================] - 0s 844us/step - loss: 0.5898
Epoch 45/150
13/13 [==============================] - 0s 844us/step - loss: 0.5888
Epoch 46/150
13/13 [==============================] - 0s 921us/step - loss: 0.5874
Epoch 47/150
13/13 [==============================] - 0s 844us/step - loss: 0.5867
Epoch 48/150
13/13 [==============================] - 0s 921us/step - loss: 0.5861
Epoch 49/150
13/13 [==============================] - 0s 844us/step - loss: 0.5848
Epoch 50/150
13/13 [==============================] - 0s 921us/step - loss: 0.5838
Epoch 51/150
13/13 [==============================] - 0s 921us/step - loss: 0.5829
Epoch 52/150
13/13 [==============================] - 0s 997us/step - loss: 0.5822
Epoch 53/150
13/13 [==============================] - 0s 998us/step - loss: 0.5811
Epoch 54/150
13/13 [==============================] - 0s 844us/step - loss: 0.5796
Epoch 55/150
13/13 [==============================] - 0s 921us/step - loss: 0.5792
Epoch 56/150
13/13 [==============================] - 0s 767us/step - loss: 0.5788
Epoch 57/150
13/13 [==============================] - 0s 920us/step - loss: 0.5773
Epoch 58/150
13/13 [==============================] - 0s 844us/step - loss: 0.5767
Epoch 59/150
13/13 [==============================] - 0s 844us/step - loss: 0.5757
Epoch 60/150
13/13 [==============================] - 0s 997us/step - loss: 0.5748
Epoch 61/150
13/13 [==============================] - 0s 844us/step - loss: 0.5740
Epoch 62/150
13/13 [==============================] - 0s 767us/step - loss: 0.5735
Epoch 63/150
13/13 [==============================] - 0s 997us/step - loss: 0.5727
Epoch 64/150
13/13 [==============================] - 0s 844us/step - loss: 0.5724
Epoch 65/150
13/13 [==============================] - 0s 844us/step - loss: 0.5714
Epoch 66/150
13/13 [==============================] - 0s 921us/step - loss: 0.5710
Epoch 67/150
13/13 [==============================] - 0s 921us/step - loss: 0.5703
Epoch 68/150
13/13 [==============================] - 0s 844us/step - loss: 0.5693
Epoch 69/150
13/13 [==============================] - 0s 844us/step - loss: 0.5697
Epoch 70/150
13/13 [==============================] - 0s 997us/step - loss: 0.5679
Epoch 71/150
13/13 [==============================] - 0s 844us/step - loss: 0.5676
Epoch 72/150
13/13 [==============================] - 0s 921us/step - loss: 0.5669
Epoch 73/150
13/13 [==============================] - 0s 921us/step - loss: 0.5668
Epoch 74/150
13/13 [==============================] - 0s 997us/step - loss: 0.5662
Epoch 75/150
13/13 [==============================] - 0s 997us/step - loss: 0.5657
Epoch 76/150
13/13 [==============================] - 0s 921us/step - loss: 0.5652
Epoch 77/150
13/13 [==============================] - 0s 997us/step - loss: 0.5656
Epoch 78/150
13/13 [==============================] - 0s 844us/step - loss: 0.5639
Epoch 79/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5648
Epoch 80/150
13/13 [==============================] - 0s 921us/step - loss: 0.5635
Epoch 81/150
13/13 [==============================] - 0s 767us/step - loss: 0.5629
Epoch 82/150
13/13 [==============================] - 0s 997us/step - loss: 0.5634
Epoch 83/150
13/13 [==============================] - 0s 844us/step - loss: 0.5618
Epoch 84/150
13/13 [==============================] - 0s 921us/step - loss: 0.5618
Epoch 85/150
13/13 [==============================] - 0s 921us/step - loss: 0.5613
Epoch 86/150
13/13 [==============================] - 0s 921us/step - loss: 0.5609
Epoch 87/150
13/13 [==============================] - 0s 997us/step - loss: 0.5608
Epoch 88/150
13/13 [==============================] - 0s 921us/step - loss: 0.5605
Epoch 89/150
13/13 [==============================] - 0s 921us/step - loss: 0.5601
Epoch 90/150
13/13 [==============================] - 0s 844us/step - loss: 0.5594
Epoch 91/150
13/13 [==============================] - 0s 921us/step - loss: 0.5593
Epoch 92/150
13/13 [==============================] - 0s 921us/step - loss: 0.5585
Epoch 93/150
13/13 [==============================] - 0s 844us/step - loss: 0.5590
Epoch 94/150
13/13 [==============================] - 0s 844us/step - loss: 0.5589
Epoch 95/150
13/13 [==============================] - 0s 997us/step - loss: 0.5590
Epoch 96/150
13/13 [==============================] - 0s 997us/step - loss: 0.5573
Epoch 97/150
13/13 [==============================] - 0s 767us/step - loss: 0.5571
Epoch 98/150
13/13 [==============================] - 0s 844us/step - loss: 0.5575
Epoch 99/150
13/13 [==============================] - ETA: 0s - loss: 0.607 - 0s 920us/step - loss: 0.5571
Epoch 100/150
13/13 [==============================] - 0s 844us/step - loss: 0.5560
Epoch 101/150
13/13 [==============================] - 0s 921us/step - loss: 0.5567
Epoch 102/150
13/13 [==============================] - 0s 921us/step - loss: 0.5564
Epoch 103/150
13/13 [==============================] - 0s 844us/step - loss: 0.5554
Epoch 104/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5561
Epoch 105/150
13/13 [==============================] - 0s 921us/step - loss: 0.5551
Epoch 106/150
13/13 [==============================] - ETA: 0s - loss: 0.602 - 0s 921us/step - loss: 0.5552
Epoch 107/150
13/13 [==============================] - 0s 921us/step - loss: 0.5559
Epoch 108/150
13/13 [==============================] - 0s 844us/step - loss: 0.5545
Epoch 109/150
13/13 [==============================] - 0s 997us/step - loss: 0.5546
Epoch 110/150
13/13 [==============================] - 0s 921us/step - loss: 0.5542
Epoch 111/150
13/13 [==============================] - 0s 844us/step - loss: 0.5544
Epoch 112/150
13/13 [==============================] - 0s 997us/step - loss: 0.5539
Epoch 113/150
13/13 [==============================] - 0s 844us/step - loss: 0.5541
Epoch 114/150
13/13 [==============================] - 0s 844us/step - loss: 0.5538
Epoch 115/150
13/13 [==============================] - 0s 997us/step - loss: 0.5537
Epoch 116/150
13/13 [==============================] - 0s 921us/step - loss: 0.5532
Epoch 117/150
13/13 [==============================] - 0s 921us/step - loss: 0.5525
Epoch 118/150
13/13 [==============================] - 0s 997us/step - loss: 0.5534
Epoch 119/150
13/13 [==============================] - 0s 767us/step - loss: 0.5528
Epoch 120/150
13/13 [==============================] - 0s 921us/step - loss: 0.5528
Epoch 121/150
13/13 [==============================] - 0s 921us/step - loss: 0.5525
Epoch 122/150
13/13 [==============================] - 0s 921us/step - loss: 0.5530
Epoch 123/150
13/13 [==============================] - 0s 921us/step - loss: 0.5523
Epoch 124/150
13/13 [==============================] - 0s 921us/step - loss: 0.5519
Epoch 125/150
13/13 [==============================] - 0s 997us/step - loss: 0.5515
Epoch 126/150
13/13 [==============================] - 0s 997us/step - loss: 0.5519
Epoch 127/150
13/13 [==============================] - 0s 844us/step - loss: 0.5515
Epoch 128/150
13/13 [==============================] - 0s 997us/step - loss: 0.5513
Epoch 129/150
13/13 [==============================] - 0s 844us/step - loss: 0.5522
Epoch 130/150
13/13 [==============================] - 0s 844us/step - loss: 0.5515
Epoch 131/150
13/13 [==============================] - 0s 921us/step - loss: 0.5520
Epoch 132/150
13/13 [==============================] - 0s 844us/step - loss: 0.5512
Epoch 133/150
13/13 [==============================] - 0s 844us/step - loss: 0.5505
Epoch 134/150
13/13 [==============================] - 0s 997us/step - loss: 0.5504
Epoch 135/150
13/13 [==============================] - 0s 921us/step - loss: 0.5500
Epoch 136/150
13/13 [==============================] - 0s 844us/step - loss: 0.5498
Epoch 137/150
13/13 [==============================] - 0s 921us/step - loss: 0.5511
Epoch 138/150
13/13 [==============================] - 0s 997us/step - loss: 0.5503
Epoch 139/150
13/13 [==============================] - 0s 844us/step - loss: 0.5498
Epoch 140/150
13/13 [==============================] - 0s 997us/step - loss: 0.5500
Epoch 141/150
13/13 [==============================] - 0s 920us/step - loss: 0.5499
Epoch 142/150
13/13 [==============================] - 0s 844us/step - loss: 0.5499
Epoch 143/150
13/13 [==============================] - 0s 997us/step - loss: 0.5492
Epoch 144/150
13/13 [==============================] - 0s 921us/step - loss: 0.5493
Epoch 145/150
13/13 [==============================] - 0s 844us/step - loss: 0.5494
Epoch 146/150
13/13 [==============================] - 0s 997us/step - loss: 0.5493
Epoch 147/150
13/13 [==============================] - 0s 844us/step - loss: 0.5495
Epoch 148/150
13/13 [==============================] - 0s 921us/step - loss: 0.5490
Epoch 149/150
13/13 [==============================] - 0s 997us/step - loss: 0.5486
Epoch 150/150
13/13 [==============================] - 0s 844us/step - loss: 0.5488
###################################################################### Accuracy: 88.14446054400133
Epoch 1/150
 1/13 [=>............................] - ETA: 0s - loss: 0.9325WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0010s). Check your callbacks.
13/13 [==============================] - 0s 1ms/step - loss: 1.0160
Epoch 2/150
13/13 [==============================] - 0s 921us/step - loss: 1.0103
Epoch 3/150
13/13 [==============================] - 0s 921us/step - loss: 1.0013
Epoch 4/150
13/13 [==============================] - 0s 997us/step - loss: 0.9881
Epoch 5/150
13/13 [==============================] - 0s 1ms/step - loss: 0.9724
Epoch 6/150
13/13 [==============================] - 0s 921us/step - loss: 0.9544
Epoch 7/150
13/13 [==============================] - 0s 844us/step - loss: 0.9337
Epoch 8/150
13/13 [==============================] - 0s 921us/step - loss: 0.9135
Epoch 9/150
13/13 [==============================] - 0s 997us/step - loss: 0.8941
Epoch 10/150
13/13 [==============================] - 0s 844us/step - loss: 0.8767
Epoch 11/150
13/13 [==============================] - 0s 997us/step - loss: 0.8618
Epoch 12/150
13/13 [==============================] - 0s 844us/step - loss: 0.8500
Epoch 13/150
13/13 [==============================] - 0s 921us/step - loss: 0.8409
Epoch 14/150
13/13 [==============================] - 0s 921us/step - loss: 0.8332
Epoch 15/150
13/13 [==============================] - 0s 844us/step - loss: 0.8261
Epoch 16/150
13/13 [==============================] - 0s 921us/step - loss: 0.8202
Epoch 17/150
13/13 [==============================] - 0s 921us/step - loss: 0.8140
Epoch 18/150
13/13 [==============================] - 0s 921us/step - loss: 0.8082
Epoch 19/150
13/13 [==============================] - 0s 921us/step - loss: 0.8029
Epoch 20/150
13/13 [==============================] - 0s 921us/step - loss: 0.7977
Epoch 21/150
13/13 [==============================] - 0s 921us/step - loss: 0.7924
Epoch 22/150
13/13 [==============================] - 0s 921us/step - loss: 0.7869
Epoch 23/150
13/13 [==============================] - 0s 997us/step - loss: 0.7818
Epoch 24/150
13/13 [==============================] - 0s 920us/step - loss: 0.7769
Epoch 25/150
13/13 [==============================] - 0s 844us/step - loss: 0.7716
Epoch 26/150
13/13 [==============================] - 0s 844us/step - loss: 0.7669
Epoch 27/150
13/13 [==============================] - 0s 844us/step - loss: 0.7618
Epoch 28/150
13/13 [==============================] - 0s 921us/step - loss: 0.7570
Epoch 29/150
13/13 [==============================] - 0s 844us/step - loss: 0.7533
Epoch 30/150
13/13 [==============================] - 0s 921us/step - loss: 0.7492
Epoch 31/150
13/13 [==============================] - 0s 844us/step - loss: 0.7445
Epoch 32/150
13/13 [==============================] - 0s 844us/step - loss: 0.7404
Epoch 33/150
13/13 [==============================] - 0s 921us/step - loss: 0.7368
Epoch 34/150
13/13 [==============================] - 0s 844us/step - loss: 0.7324
Epoch 35/150
13/13 [==============================] - 0s 921us/step - loss: 0.7293
Epoch 36/150
13/13 [==============================] - 0s 767us/step - loss: 0.7249
Epoch 37/150
13/13 [==============================] - 0s 921us/step - loss: 0.7215
Epoch 38/150
13/13 [==============================] - 0s 844us/step - loss: 0.7179
Epoch 39/150
13/13 [==============================] - 0s 844us/step - loss: 0.7138
Epoch 40/150
13/13 [==============================] - 0s 921us/step - loss: 0.7106
Epoch 41/150
13/13 [==============================] - 0s 921us/step - loss: 0.7067
Epoch 42/150
13/13 [==============================] - 0s 997us/step - loss: 0.7040
Epoch 43/150
13/13 [==============================] - 0s 921us/step - loss: 0.6995
Epoch 44/150
13/13 [==============================] - 0s 844us/step - loss: 0.6971
Epoch 45/150
13/13 [==============================] - 0s 920us/step - loss: 0.6930
Epoch 46/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6907
Epoch 47/150
13/13 [==============================] - 0s 844us/step - loss: 0.6875
Epoch 48/150
13/13 [==============================] - 0s 920us/step - loss: 0.6847
Epoch 49/150
13/13 [==============================] - 0s 844us/step - loss: 0.6817
Epoch 50/150
13/13 [==============================] - 0s 920us/step - loss: 0.6789
Epoch 51/150
13/13 [==============================] - 0s 844us/step - loss: 0.6767
Epoch 52/150
13/13 [==============================] - 0s 921us/step - loss: 0.6740
Epoch 53/150
13/13 [==============================] - 0s 921us/step - loss: 0.6717
Epoch 54/150
13/13 [==============================] - 0s 921us/step - loss: 0.6692
Epoch 55/150
13/13 [==============================] - 0s 921us/step - loss: 0.6676
Epoch 56/150
13/13 [==============================] - 0s 844us/step - loss: 0.6646
Epoch 57/150
13/13 [==============================] - 0s 921us/step - loss: 0.6627
Epoch 58/150
13/13 [==============================] - 0s 921us/step - loss: 0.6604
Epoch 59/150
13/13 [==============================] - 0s 921us/step - loss: 0.6594
Epoch 60/150
13/13 [==============================] - 0s 767us/step - loss: 0.6566
Epoch 61/150
13/13 [==============================] - 0s 844us/step - loss: 0.6556
Epoch 62/150
13/13 [==============================] - 0s 844us/step - loss: 0.6546
Epoch 63/150
13/13 [==============================] - 0s 844us/step - loss: 0.6517
Epoch 64/150
13/13 [==============================] - 0s 844us/step - loss: 0.6504
Epoch 65/150
13/13 [==============================] - 0s 921us/step - loss: 0.6485
Epoch 66/150
13/13 [==============================] - 0s 921us/step - loss: 0.6475
Epoch 67/150
13/13 [==============================] - 0s 844us/step - loss: 0.6460
Epoch 68/150
13/13 [==============================] - 0s 921us/step - loss: 0.6434
Epoch 69/150
13/13 [==============================] - 0s 921us/step - loss: 0.6427
Epoch 70/150
13/13 [==============================] - 0s 921us/step - loss: 0.6411
Epoch 71/150
13/13 [==============================] - 0s 997us/step - loss: 0.6399
Epoch 72/150
13/13 [==============================] - 0s 844us/step - loss: 0.6386
Epoch 73/150
13/13 [==============================] - 0s 1ms/step - loss: 0.6388
Epoch 74/150
13/13 [==============================] - 0s 844us/step - loss: 0.6360
Epoch 75/150
13/13 [==============================] - 0s 844us/step - loss: 0.6352
Epoch 76/150
13/13 [==============================] - 0s 844us/step - loss: 0.6348
Epoch 77/150
13/13 [==============================] - 0s 767us/step - loss: 0.6339
Epoch 78/150
13/13 [==============================] - 0s 921us/step - loss: 0.6322
Epoch 79/150
13/13 [==============================] - 0s 921us/step - loss: 0.6326
Epoch 80/150
13/13 [==============================] - 0s 844us/step - loss: 0.6307
Epoch 81/150
13/13 [==============================] - 0s 920us/step - loss: 0.6297
Epoch 82/150
13/13 [==============================] - 0s 921us/step - loss: 0.6301
Epoch 83/150
13/13 [==============================] - 0s 921us/step - loss: 0.6289
Epoch 84/150
13/13 [==============================] - 0s 997us/step - loss: 0.6268
Epoch 85/150
13/13 [==============================] - 0s 921us/step - loss: 0.6269
Epoch 86/150
13/13 [==============================] - 0s 844us/step - loss: 0.6259
Epoch 87/150
13/13 [==============================] - 0s 767us/step - loss: 0.6263
Epoch 88/150
13/13 [==============================] - 0s 921us/step - loss: 0.6252
Epoch 89/150
13/13 [==============================] - 0s 844us/step - loss: 0.6242
Epoch 90/150
13/13 [==============================] - 0s 921us/step - loss: 0.6240
Epoch 91/150
13/13 [==============================] - 0s 844us/step - loss: 0.6226
Epoch 92/150
13/13 [==============================] - 0s 844us/step - loss: 0.6221
Epoch 93/150
13/13 [==============================] - 0s 997us/step - loss: 0.6219
Epoch 94/150
13/13 [==============================] - 0s 844us/step - loss: 0.6217
Epoch 95/150
13/13 [==============================] - 0s 921us/step - loss: 0.6197
Epoch 96/150
13/13 [==============================] - 0s 921us/step - loss: 0.6197
Epoch 97/150
13/13 [==============================] - 0s 997us/step - loss: 0.6183
Epoch 98/150
13/13 [==============================] - 0s 921us/step - loss: 0.6185
Epoch 99/150
13/13 [==============================] - 0s 844us/step - loss: 0.6178
Epoch 100/150
13/13 [==============================] - 0s 997us/step - loss: 0.6179
Epoch 101/150
13/13 [==============================] - 0s 921us/step - loss: 0.6166
Epoch 102/150
13/13 [==============================] - 0s 844us/step - loss: 0.6160
Epoch 103/150
13/13 [==============================] - 0s 997us/step - loss: 0.6152
Epoch 104/150
13/13 [==============================] - 0s 844us/step - loss: 0.6151
Epoch 105/150
13/13 [==============================] - 0s 844us/step - loss: 0.6142
Epoch 106/150
13/13 [==============================] - 0s 997us/step - loss: 0.6144
Epoch 107/150
13/13 [==============================] - 0s 921us/step - loss: 0.6138
Epoch 108/150
13/13 [==============================] - 0s 997us/step - loss: 0.6128
Epoch 109/150
13/13 [==============================] - 0s 921us/step - loss: 0.6131
Epoch 110/150
13/13 [==============================] - 0s 844us/step - loss: 0.6120
Epoch 111/150
13/13 [==============================] - 0s 997us/step - loss: 0.6115
Epoch 112/150
13/13 [==============================] - 0s 997us/step - loss: 0.6111
Epoch 113/150
13/13 [==============================] - 0s 921us/step - loss: 0.6103
Epoch 114/150
13/13 [==============================] - 0s 921us/step - loss: 0.6107
Epoch 115/150
13/13 [==============================] - 0s 921us/step - loss: 0.6101
Epoch 116/150
13/13 [==============================] - 0s 921us/step - loss: 0.6095
Epoch 117/150
13/13 [==============================] - 0s 844us/step - loss: 0.6092
Epoch 118/150
13/13 [==============================] - 0s 997us/step - loss: 0.6082
Epoch 119/150
13/13 [==============================] - 0s 921us/step - loss: 0.6079
Epoch 120/150
13/13 [==============================] - 0s 844us/step - loss: 0.6081
Epoch 121/150
13/13 [==============================] - 0s 997us/step - loss: 0.6075
Epoch 122/150
13/13 [==============================] - 0s 921us/step - loss: 0.6068
Epoch 123/150
13/13 [==============================] - 0s 844us/step - loss: 0.6067
Epoch 124/150
13/13 [==============================] - 0s 920us/step - loss: 0.6068
Epoch 125/150
13/13 [==============================] - 0s 997us/step - loss: 0.6064
Epoch 126/150
13/13 [==============================] - 0s 921us/step - loss: 0.6054
Epoch 127/150
13/13 [==============================] - 0s 844us/step - loss: 0.6063
Epoch 128/150
13/13 [==============================] - 0s 921us/step - loss: 0.6050
Epoch 129/150
13/13 [==============================] - 0s 997us/step - loss: 0.6044
Epoch 130/150
13/13 [==============================] - 0s 767us/step - loss: 0.6040
Epoch 131/150
13/13 [==============================] - 0s 844us/step - loss: 0.6040
Epoch 132/150
13/13 [==============================] - 0s 844us/step - loss: 0.6032
Epoch 133/150
13/13 [==============================] - 0s 844us/step - loss: 0.6025
Epoch 134/150
13/13 [==============================] - 0s 844us/step - loss: 0.6034
Epoch 135/150
13/13 [==============================] - 0s 844us/step - loss: 0.6025
Epoch 136/150
13/13 [==============================] - 0s 921us/step - loss: 0.6021
Epoch 137/150
13/13 [==============================] - 0s 844us/step - loss: 0.6012
Epoch 138/150
13/13 [==============================] - 0s 921us/step - loss: 0.6012
Epoch 139/150
13/13 [==============================] - 0s 997us/step - loss: 0.6013
Epoch 140/150
13/13 [==============================] - 0s 844us/step - loss: 0.6002
Epoch 141/150
13/13 [==============================] - 0s 921us/step - loss: 0.5986
Epoch 142/150
13/13 [==============================] - 0s 921us/step - loss: 0.5997
Epoch 143/150
13/13 [==============================] - 0s 844us/step - loss: 0.5990
Epoch 144/150
13/13 [==============================] - 0s 920us/step - loss: 0.5991
Epoch 145/150
13/13 [==============================] - 0s 844us/step - loss: 0.5986
Epoch 146/150
13/13 [==============================] - 0s 844us/step - loss: 0.5977
Epoch 147/150
13/13 [==============================] - 0s 921us/step - loss: 0.5979
Epoch 148/150
13/13 [==============================] - 0s 844us/step - loss: 0.5979
Epoch 149/150
13/13 [==============================] - 0s 844us/step - loss: 0.5966
Epoch 150/150
13/13 [==============================] - 0s 767us/step - loss: 0.5964
###################################################################### Accuracy: 75.99680507371659
Epoch 1/150
13/13 [==============================] - 0s 921us/step - loss: 1.0005
Epoch 2/150
13/13 [==============================] - 0s 921us/step - loss: 0.9952
Epoch 3/150
13/13 [==============================] - 0s 921us/step - loss: 0.9872
Epoch 4/150
13/13 [==============================] - 0s 920us/step - loss: 0.9757
Epoch 5/150
13/13 [==============================] - 0s 921us/step - loss: 0.9603
Epoch 6/150
13/13 [==============================] - 0s 921us/step - loss: 0.9410
Epoch 7/150
13/13 [==============================] - 0s 844us/step - loss: 0.9190
Epoch 8/150
13/13 [==============================] - 0s 997us/step - loss: 0.8941
Epoch 9/150
13/13 [==============================] - 0s 844us/step - loss: 0.8650
Epoch 10/150
13/13 [==============================] - 0s 997us/step - loss: 0.8334
Epoch 11/150
13/13 [==============================] - 0s 844us/step - loss: 0.8008
Epoch 12/150
13/13 [==============================] - 0s 844us/step - loss: 0.7687
Epoch 13/150
13/13 [==============================] - 0s 921us/step - loss: 0.7396
Epoch 14/150
13/13 [==============================] - 0s 921us/step - loss: 0.7138
Epoch 15/150
13/13 [==============================] - 0s 844us/step - loss: 0.6912
Epoch 16/150
13/13 [==============================] - 0s 997us/step - loss: 0.6736
Epoch 17/150
13/13 [==============================] - 0s 998us/step - loss: 0.6603
Epoch 18/150
13/13 [==============================] - 0s 997us/step - loss: 0.6521
Epoch 19/150
13/13 [==============================] - 0s 921us/step - loss: 0.6462
Epoch 20/150
13/13 [==============================] - 0s 767us/step - loss: 0.6426
Epoch 21/150
13/13 [==============================] - 0s 921us/step - loss: 0.6398
Epoch 22/150
13/13 [==============================] - 0s 844us/step - loss: 0.6383
Epoch 23/150
13/13 [==============================] - 0s 767us/step - loss: 0.6361
Epoch 24/150
13/13 [==============================] - 0s 921us/step - loss: 0.6344
Epoch 25/150
13/13 [==============================] - 0s 844us/step - loss: 0.6325
Epoch 26/150
13/13 [==============================] - 0s 844us/step - loss: 0.6315
Epoch 27/150
13/13 [==============================] - 0s 921us/step - loss: 0.6296
Epoch 28/150
13/13 [==============================] - 0s 997us/step - loss: 0.6278
Epoch 29/150
13/13 [==============================] - 0s 997us/step - loss: 0.6263
Epoch 30/150
13/13 [==============================] - 0s 921us/step - loss: 0.6253
Epoch 31/150
13/13 [==============================] - 0s 921us/step - loss: 0.6237
Epoch 32/150
13/13 [==============================] - 0s 921us/step - loss: 0.6225
Epoch 33/150
13/13 [==============================] - 0s 921us/step - loss: 0.6208
Epoch 34/150
13/13 [==============================] - 0s 844us/step - loss: 0.6202
Epoch 35/150
13/13 [==============================] - 0s 921us/step - loss: 0.6182
Epoch 36/150
13/13 [==============================] - 0s 844us/step - loss: 0.6173
Epoch 37/150
13/13 [==============================] - 0s 921us/step - loss: 0.6156
Epoch 38/150
13/13 [==============================] - 0s 921us/step - loss: 0.6149
Epoch 39/150
13/13 [==============================] - 0s 920us/step - loss: 0.6134
Epoch 40/150
13/13 [==============================] - 0s 844us/step - loss: 0.6125
Epoch 41/150
13/13 [==============================] - 0s 844us/step - loss: 0.6114
Epoch 42/150
13/13 [==============================] - 0s 844us/step - loss: 0.6103
Epoch 43/150
13/13 [==============================] - 0s 921us/step - loss: 0.6092
Epoch 44/150
13/13 [==============================] - 0s 921us/step - loss: 0.6082
Epoch 45/150
13/13 [==============================] - 0s 844us/step - loss: 0.6074
Epoch 46/150
13/13 [==============================] - 0s 921us/step - loss: 0.6062
Epoch 47/150
13/13 [==============================] - 0s 921us/step - loss: 0.6055
Epoch 48/150
13/13 [==============================] - 0s 921us/step - loss: 0.6042
Epoch 49/150
13/13 [==============================] - 0s 844us/step - loss: 0.6032
Epoch 50/150
13/13 [==============================] - 0s 921us/step - loss: 0.6028
Epoch 51/150
13/13 [==============================] - 0s 920us/step - loss: 0.6013
Epoch 52/150
13/13 [==============================] - 0s 921us/step - loss: 0.6012
Epoch 53/150
13/13 [==============================] - 0s 921us/step - loss: 0.6005
Epoch 54/150
13/13 [==============================] - 0s 921us/step - loss: 0.5994
Epoch 55/150
13/13 [==============================] - 0s 844us/step - loss: 0.5984
Epoch 56/150
13/13 [==============================] - 0s 997us/step - loss: 0.5971
Epoch 57/150
13/13 [==============================] - 0s 921us/step - loss: 0.5968
Epoch 58/150
13/13 [==============================] - 0s 920us/step - loss: 0.5962
Epoch 59/150
13/13 [==============================] - 0s 921us/step - loss: 0.5950
Epoch 60/150
13/13 [==============================] - 0s 921us/step - loss: 0.5942
Epoch 61/150
13/13 [==============================] - 0s 844us/step - loss: 0.5931
Epoch 62/150
13/13 [==============================] - 0s 921us/step - loss: 0.5934
Epoch 63/150
13/13 [==============================] - 0s 921us/step - loss: 0.5919
Epoch 64/150
13/13 [==============================] - 0s 921us/step - loss: 0.5924
Epoch 65/150
13/13 [==============================] - 0s 844us/step - loss: 0.5907
Epoch 66/150
13/13 [==============================] - 0s 844us/step - loss: 0.5905
Epoch 67/150
13/13 [==============================] - 0s 921us/step - loss: 0.5893
Epoch 68/150
13/13 [==============================] - 0s 997us/step - loss: 0.5895
Epoch 69/150
13/13 [==============================] - 0s 997us/step - loss: 0.5882
Epoch 70/150
13/13 [==============================] - 0s 844us/step - loss: 0.5879
Epoch 71/150
13/13 [==============================] - 0s 844us/step - loss: 0.5875
Epoch 72/150
13/13 [==============================] - 0s 921us/step - loss: 0.5871
Epoch 73/150
13/13 [==============================] - 0s 844us/step - loss: 0.5866
Epoch 74/150
13/13 [==============================] - 0s 996us/step - loss: 0.5858
Epoch 75/150
13/13 [==============================] - 0s 844us/step - loss: 0.5857
Epoch 76/150
13/13 [==============================] - 0s 844us/step - loss: 0.5850
Epoch 77/150
13/13 [==============================] - 0s 921us/step - loss: 0.5842
Epoch 78/150
13/13 [==============================] - 0s 844us/step - loss: 0.5844
Epoch 79/150
13/13 [==============================] - 0s 844us/step - loss: 0.5837
Epoch 80/150
13/13 [==============================] - 0s 921us/step - loss: 0.5830
Epoch 81/150
13/13 [==============================] - 0s 921us/step - loss: 0.5828
Epoch 82/150
13/13 [==============================] - 0s 920us/step - loss: 0.5824
Epoch 83/150
13/13 [==============================] - 0s 921us/step - loss: 0.5816
Epoch 84/150
13/13 [==============================] - 0s 921us/step - loss: 0.5813
Epoch 85/150
13/13 [==============================] - 0s 844us/step - loss: 0.5806
Epoch 86/150
13/13 [==============================] - 0s 921us/step - loss: 0.5802
Epoch 87/150
13/13 [==============================] - 0s 997us/step - loss: 0.5797
Epoch 88/150
13/13 [==============================] - 0s 921us/step - loss: 0.5795
Epoch 89/150
13/13 [==============================] - 0s 844us/step - loss: 0.5793
Epoch 90/150
13/13 [==============================] - 0s 921us/step - loss: 0.5786
Epoch 91/150
13/13 [==============================] - 0s 844us/step - loss: 0.5781
Epoch 92/150
13/13 [==============================] - 0s 921us/step - loss: 0.5777
Epoch 93/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5782
Epoch 94/150
13/13 [==============================] - 0s 844us/step - loss: 0.5768
Epoch 95/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5767
Epoch 96/150
13/13 [==============================] - 0s 921us/step - loss: 0.5764
Epoch 97/150
13/13 [==============================] - 0s 844us/step - loss: 0.5763
Epoch 98/150
13/13 [==============================] - 0s 997us/step - loss: 0.5755
Epoch 99/150
13/13 [==============================] - 0s 844us/step - loss: 0.5760
Epoch 100/150
13/13 [==============================] - 0s 921us/step - loss: 0.5746
Epoch 101/150
13/13 [==============================] - 0s 998us/step - loss: 0.5746
Epoch 102/150
13/13 [==============================] - 0s 921us/step - loss: 0.5745
Epoch 103/150
13/13 [==============================] - 0s 844us/step - loss: 0.5742
Epoch 104/150
13/13 [==============================] - 0s 921us/step - loss: 0.5732
Epoch 105/150
13/13 [==============================] - 0s 844us/step - loss: 0.5732
Epoch 106/150
13/13 [==============================] - 0s 767us/step - loss: 0.5732
Epoch 107/150
13/13 [==============================] - 0s 921us/step - loss: 0.5729
Epoch 108/150
13/13 [==============================] - 0s 844us/step - loss: 0.5722
Epoch 109/150
13/13 [==============================] - 0s 997us/step - loss: 0.5719
Epoch 110/150
13/13 [==============================] - 0s 920us/step - loss: 0.5725
Epoch 111/150
13/13 [==============================] - 0s 844us/step - loss: 0.5711
Epoch 112/150
13/13 [==============================] - 0s 921us/step - loss: 0.5717
Epoch 113/150
13/13 [==============================] - 0s 844us/step - loss: 0.5707
Epoch 114/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5707
Epoch 115/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5708
Epoch 116/150
13/13 [==============================] - 0s 997us/step - loss: 0.5698
Epoch 117/150
13/13 [==============================] - 0s 997us/step - loss: 0.5701
Epoch 118/150
13/13 [==============================] - 0s 844us/step - loss: 0.5694
Epoch 119/150
13/13 [==============================] - 0s 844us/step - loss: 0.5696
Epoch 120/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5702
Epoch 121/150
13/13 [==============================] - 0s 1ms/step - loss: 0.5687
Epoch 122/150
13/13 [==============================] - 0s 844us/step - loss: 0.5687
Epoch 123/150
13/13 [==============================] - 0s 844us/step - loss: 0.5692
Epoch 124/150
13/13 [==============================] - 0s 997us/step - loss: 0.5685
Epoch 125/150
13/13 [==============================] - 0s 921us/step - loss: 0.5684
Epoch 126/150
13/13 [==============================] - 0s 921us/step - loss: 0.5681
Epoch 127/150
13/13 [==============================] - 0s 844us/step - loss: 0.5678
Epoch 128/150
13/13 [==============================] - 0s 997us/step - loss: 0.5675
Epoch 129/150
13/13 [==============================] - 0s 844us/step - loss: 0.5673
Epoch 130/150
13/13 [==============================] - 0s 921us/step - loss: 0.5671
Epoch 131/150
13/13 [==============================] - 0s 844us/step - loss: 0.5665
Epoch 132/150
13/13 [==============================] - 0s 997us/step - loss: 0.5666
Epoch 133/150
13/13 [==============================] - 0s 844us/step - loss: 0.5661
Epoch 134/150
13/13 [==============================] - 0s 844us/step - loss: 0.5666
Epoch 135/150
13/13 [==============================] - 0s 844us/step - loss: 0.5660
Epoch 136/150
13/13 [==============================] - 0s 2ms/step - loss: 0.5656
Epoch 137/150
13/13 [==============================] - 0s 921us/step - loss: 0.5655
Epoch 138/150
13/13 [==============================] - 0s 921us/step - loss: 0.5659
Epoch 139/150
13/13 [==============================] - 0s 997us/step - loss: 0.5650
Epoch 140/150
13/13 [==============================] - 0s 921us/step - loss: 0.5644
Epoch 141/150
13/13 [==============================] - 0s 920us/step - loss: 0.5652
Epoch 142/150
13/13 [==============================] - 0s 844us/step - loss: 0.5651
Epoch 143/150
13/13 [==============================] - 0s 921us/step - loss: 0.5646
Epoch 144/150
13/13 [==============================] - 0s 844us/step - loss: 0.5640
Epoch 145/150
13/13 [==============================] - 0s 997us/step - loss: 0.5643
Epoch 146/150
13/13 [==============================] - 0s 844us/step - loss: 0.5644
Epoch 147/150
13/13 [==============================] - 0s 844us/step - loss: 0.5635
Epoch 148/150
13/13 [==============================] - 0s 844us/step - loss: 0.5644
Epoch 149/150
13/13 [==============================] - 0s 844us/step - loss: 0.5640
Epoch 150/150
13/13 [==============================] - 0s 844us/step - loss: 0.5638
###################################################################### Accuracy: 71.7601431797645
Epoch 1/10
16/16 [==============================] - 0s 873us/step - loss: 0.9993
Epoch 2/10
16/16 [==============================] - 0s 935us/step - loss: 0.9935
Epoch 3/10
16/16 [==============================] - 0s 857us/step - loss: 0.9821
Epoch 4/10
16/16 [==============================] - 0s 997us/step - loss: 0.9637
Epoch 5/10
16/16 [==============================] - 0s 935us/step - loss: 0.9385
Epoch 6/10
16/16 [==============================] - 0s 873us/step - loss: 0.9091
Epoch 7/10
16/16 [==============================] - 0s 873us/step - loss: 0.8776
Epoch 8/10
16/16 [==============================] - 0s 872us/step - loss: 0.8465
Epoch 9/10
16/16 [==============================] - 0s 873us/step - loss: 0.8173
Epoch 10/10
16/16 [==============================] - 0s 810us/step - loss: 0.7916
########## Total Time Taken:  18 Minutes
In [107]:
grid_search.best_params_
Out[107]:
{'Optimizer_trial': 'rmsprop', 'batch_size': 60, 'epochs': 10}
In [108]:
grid_search.best_score_
Out[108]:
97.43114477629679

Generating the model for the best Grid Search Parameters

In [109]:
# create ANN reg_model
reg_model = Sequential()
# Defining the first layer of the reg_model
reg_model.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))

# Defining the Second layer of the reg_model
reg_model.add(Dense(units=5, kernel_initializer='normal', activation='relu'))

# The output neuron is a single fully connected node 
# Since we will be predicting a single number
reg_model.add(Dense(1, kernel_initializer='normal'))

# Compiling the reg_model
reg_model.compile(loss='mean_squared_error', optimizer='rmsprop' )
In [110]:
# Fitting the ANN to the Training set
reg_model.fit(X_train, y_train ,batch_size = 60, epochs = 10, verbose=1)
Epoch 1/10
16/16 [==============================] - 0s 935us/step - loss: 0.9984
Epoch 2/10
16/16 [==============================] - 0s 935us/step - loss: 0.9908
Epoch 3/10
16/16 [==============================] - 0s 873us/step - loss: 0.9774
Epoch 4/10
16/16 [==============================] - 0s 997us/step - loss: 0.9579
Epoch 5/10
16/16 [==============================] - 0s 997us/step - loss: 0.9338
Epoch 6/10
16/16 [==============================] - 0s 997us/step - loss: 0.9085
Epoch 7/10
16/16 [==============================] - 0s 873us/step - loss: 0.8848
Epoch 8/10
16/16 [==============================] - 0s 748us/step - loss: 0.8621
Epoch 9/10
16/16 [==============================] - 0s 1ms/step - loss: 0.8442
Epoch 10/10
16/16 [==============================] - 0s 997us/step - loss: 0.8300
Out[110]:
<tensorflow.python.keras.callbacks.History at 0x25565d07a90>

Saving The Regression Model

In [111]:
model_reg.save('reg_model.h5')

from keras.models import load_model
model_reg = load_model('reg_model.h5')

Generating Predictions on the Testing Data

In [112]:
# Predictions on testing data
Predictions=reg_model.predict(X_test)

# Scaling the predicted Price data back to original scale
Predictions=TargetVarScalerFit.inverse_transform(Predictions)

# Scaling the y_test Price data back to original scale
y_test_orig=TargetVarScalerFit.inverse_transform(y_test)

# Scaling the test data back to original scale
Test_Data=PredictorScalerFit.inverse_transform(X_test)

TestingData=pd.DataFrame(data=Test_Data, columns=Predictors)
TestingData['Signal_Strength']=y_test_orig
TestingData['Predicted_Signal_Strength']=Predictions
TestingData.head()
Out[112]:
Parameter 1 Parameter 2 Parameter 3 Parameter 5 Parameter 6 Parameter 7 Parameter 8 Parameter 9 Parameter 10 Parameter 11 Signal_Strength Predicted_Signal_Strength
0 7.7 0.620 0.04 0.084 25.0 45.0 0.99780 3.34 0.53 9.5 5.0 5.208414
1 8.2 0.635 0.10 0.073 25.0 60.0 0.99638 3.29 0.75 10.9 6.0 5.630296
2 8.4 0.370 0.43 0.063 12.0 19.0 0.99550 3.17 0.81 11.2 7.0 5.690778
3 9.9 0.490 0.58 0.094 9.0 43.0 1.00040 3.29 0.58 9.0 5.0 5.267856
4 6.3 1.020 0.00 0.083 17.0 24.0 0.99437 3.59 0.55 11.2 4.0 5.248003

Calculating the Accuracy for the Grid Search Parameters

In [113]:
# Mean Absolute Percentage Error
APE=100* (abs(TestingData['Signal_Strength']-TestingData['Predicted_Signal_Strength'])/TestingData['Signal_Strength'])
TestingData['APE']=APE
print('The Accuracy of ANN model is:', 100-np.mean(APE))
TestingData.head()
The Accuracy of ANN model is: 89.33654098200198
Out[113]:
Parameter 1 Parameter 2 Parameter 3 Parameter 5 Parameter 6 Parameter 7 Parameter 8 Parameter 9 Parameter 10 Parameter 11 Signal_Strength Predicted_Signal_Strength APE
0 7.7 0.620 0.04 0.084 25.0 45.0 0.99780 3.34 0.53 9.5 5.0 5.208414 4.168272
1 8.2 0.635 0.10 0.073 25.0 60.0 0.99638 3.29 0.75 10.9 6.0 5.630296 6.161737
2 8.4 0.370 0.43 0.063 12.0 19.0 0.99550 3.17 0.81 11.2 7.0 5.690778 18.703168
3 9.9 0.490 0.58 0.094 9.0 43.0 1.00040 3.29 0.58 9.0 5.0 5.267856 5.357113
4 6.3 1.020 0.00 0.083 17.0 24.0 0.99437 3.59 0.55 11.2 4.0 5.248003 31.200087

Observations :

1) Manually searching for the best parameters takes a lot less time than Grid Search CV.

2) The Accuracy achieved using Manual Search Paramerts is higher than the accuracy achieved using the Grid Search Parameters.

PART II - Neural Network Classifier

In [242]:
signal_data = pd.read_pickle('Signal_data.pickle')
In [243]:
actual_y = signal_data['Signal_Strength'].values
In [244]:
y = pd.get_dummies(signal_data, columns=['Signal_Strength'])
In [245]:
signal_data = y[:]
In [246]:
signal_data.head()
Out[246]:
Parameter 1 Parameter 2 Parameter 3 Parameter 5 Parameter 6 Parameter 7 Parameter 8 Parameter 9 Parameter 10 Parameter 11 Signal_Strength_3 Signal_Strength_4 Signal_Strength_5 Signal_Strength_6 Signal_Strength_7 Signal_Strength_8
0 7.4 0.70 0.00 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 0 0 1 0 0 0
1 7.8 0.88 0.00 0.098 25.0 67.0 0.9968 3.20 0.68 9.8 0 0 1 0 0 0
2 7.8 0.76 0.04 0.092 15.0 54.0 0.9970 3.26 0.65 9.8 0 0 1 0 0 0
3 11.2 0.28 0.56 0.075 17.0 60.0 0.9980 3.16 0.58 9.8 0 0 0 1 0 0
5 7.4 0.66 0.00 0.075 13.0 40.0 0.9978 3.51 0.56 9.4 0 0 1 0 0 0
In [247]:
# After Standardization of data
# Separate Target Variable and Predictor Variables

# TargetVariable=['Signal_Strength']
TargetVariable=['Signal_Strength_3','Signal_Strength_4','Signal_Strength_5','Signal_Strength_6','Signal_Strength_7','Signal_Strength_8']
Predictors=signal_data.drop(['Signal_Strength_3','Signal_Strength_4','Signal_Strength_5','Signal_Strength_6','Signal_Strength_7','Signal_Strength_8'],axis=1).columns.to_list()
# Predictors = signal_data.drop(['Signal_Strength'],axis=1).columns.to_list()

# TargetVariable=['Signal_Strength']
# Predictors=signal_data.drop('Signal_Strength',axis=1).columns.to_list()

X=signal_data[Predictors].values
y=signal_data[TargetVariable].values

### Sandardization of data ###
from sklearn.preprocessing import StandardScaler
PredictorScaler=StandardScaler()

# Storing the fit object for later reference
PredictorScalerFit=PredictorScaler.fit(X)

# Generating the standardized values of X and y
X=PredictorScalerFit.transform(X)

# Split the data into training and testing set
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.01, random_state=6)

X_train_1, X_test_1, y_train_1, y_test_1 = train_test_split(X, actual_y, test_size=0.01, random_state=6)
In [248]:
# Quick sanity check with the shapes of Training and testing datasets
print(X_train.shape)
print(y_train.shape)
print(X_test.shape)
print(y_test.shape)
(1345, 10)
(1345, 6)
(14, 10)
(14, 6)
In [249]:
from keras import optimizers
In [250]:
def FunctionFindBestParams(X_train, y_train):
    
    
    # Defining the list of hyper parameters to try
    TrialNumber=0
    batch_size_list=[50, 100, 150, 200, 250]
    epoch_list  =   [5, 10, 50 ,100, 150, 200]
    
    import pandas as pd
    SearchResultsData=pd.DataFrame(columns=['TrialNumber', 'Parameters', 'Accuracy'])
    
    for batch_size_trial in batch_size_list:
        for epochs_trial in epoch_list:
            TrialNumber+=1
            
            # Creating the classifier ANN model
            classifier = Sequential()
            classifier.add(Dense(units=12, input_dim=10, kernel_initializer='he_uniform', activation='relu'))
            classifier.add(Dense(units=6, input_dim=10, kernel_initializer='he_uniform', activation='relu'))
            classifier.add(Dense(units=6, kernel_initializer='uniform', activation='softmax'))
            classifier.compile(optimizer='sgd', loss='categorical_crossentropy', metrics=['accuracy'])        
            
            
            ANN_Model=classifier.fit(X_train,y_train,batch_size=batch_size_trial , epochs=epochs_trial, verbose=0)
            Accuracy = ANN_Model.history['accuracy'][-1]
            
            # printing the results of the current iteration
            print(TrialNumber, 'Parameters:','batch_size:', batch_size_trial,'-', 'epochs:',epochs_trial, 'Accuracy:', Accuracy)
            
            SearchResultsData=SearchResultsData.append(pd.DataFrame(data=[[TrialNumber,
                            'batch_size'+str(batch_size_trial)+'-'+'epoch'+str(epochs_trial), Accuracy]],
                                                                    columns=['TrialNumber', 'Parameters', 'Accuracy'] ))
    return(SearchResultsData)
In [229]:
# Calling the function
ResultsData=FunctionFindBestParams(X_train, y_train)
1 Parameters: batch_size: 50 - epochs: 5 Accuracy: 0.43376624584198
2 Parameters: batch_size: 50 - epochs: 10 Accuracy: 0.5134199261665344
3 Parameters: batch_size: 50 - epochs: 50 Accuracy: 0.5489177703857422
4 Parameters: batch_size: 50 - epochs: 100 Accuracy: 0.5679653882980347
5 Parameters: batch_size: 50 - epochs: 150 Accuracy: 0.6086580157279968
6 Parameters: batch_size: 50 - epochs: 200 Accuracy: 0.6138527989387512
7 Parameters: batch_size: 100 - epochs: 5 Accuracy: 0.43809524178504944
8 Parameters: batch_size: 100 - epochs: 10 Accuracy: 0.49437230825424194
9 Parameters: batch_size: 100 - epochs: 50 Accuracy: 0.5229437351226807
10 Parameters: batch_size: 100 - epochs: 100 Accuracy: 0.5757575631141663
11 Parameters: batch_size: 100 - epochs: 150 Accuracy: 0.5835497975349426
12 Parameters: batch_size: 100 - epochs: 200 Accuracy: 0.5748917460441589
13 Parameters: batch_size: 150 - epochs: 5 Accuracy: 0.45800864696502686
14 Parameters: batch_size: 150 - epochs: 10 Accuracy: 0.5255411267280579
15 Parameters: batch_size: 150 - epochs: 50 Accuracy: 0.5411255359649658
16 Parameters: batch_size: 150 - epochs: 100 Accuracy: 0.4961038827896118
17 Parameters: batch_size: 150 - epochs: 150 Accuracy: 0.5714285969734192
18 Parameters: batch_size: 150 - epochs: 200 Accuracy: 0.5740259885787964
19 Parameters: batch_size: 200 - epochs: 5 Accuracy: 0.44155845046043396
20 Parameters: batch_size: 200 - epochs: 10 Accuracy: 0.44069263339042664
21 Parameters: batch_size: 200 - epochs: 50 Accuracy: 0.5134199261665344
22 Parameters: batch_size: 200 - epochs: 100 Accuracy: 0.5402597188949585
23 Parameters: batch_size: 200 - epochs: 150 Accuracy: 0.5696969628334045
24 Parameters: batch_size: 200 - epochs: 200 Accuracy: 0.5653679370880127
25 Parameters: batch_size: 250 - epochs: 5 Accuracy: 0.4450216591358185
26 Parameters: batch_size: 250 - epochs: 10 Accuracy: 0.3974025845527649
27 Parameters: batch_size: 250 - epochs: 50 Accuracy: 0.5627705454826355
28 Parameters: batch_size: 250 - epochs: 100 Accuracy: 0.5523809790611267
29 Parameters: batch_size: 250 - epochs: 150 Accuracy: 0.5281385183334351
30 Parameters: batch_size: 250 - epochs: 200 Accuracy: 0.56623375415802

Plotting the parameter search results

In [230]:
%matplotlib inline
ResultsData.plot(x='Parameters', y='Accuracy', figsize=(15,4), kind='line', rot=20)
Out[230]:
<matplotlib.axes._subplots.AxesSubplot at 0x2557ef653a0>
In [231]:
ResultsData[ResultsData['Accuracy']==ResultsData['Accuracy'].max()]
Out[231]:
TrialNumber Parameters Accuracy
0 6 batch_size50-epoch200 0.613853
In [251]:
classifier = Sequential()
classifier.add(Dense(units=12, input_dim=10, kernel_initializer='he_uniform', activation='relu'))
classifier.add(Dense(units=6, input_dim=10, kernel_initializer='he_uniform', activation='relu'))
classifier.add(Dense(units=6, kernel_initializer='uniform', activation='softmax'))
classifier.compile(optimizer='sgd', loss='categorical_crossentropy', metrics=['accuracy'])
In [252]:
classifier.summary()
Model: "sequential_411"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
dense_1301 (Dense)           (None, 12)                132       
_________________________________________________________________
dense_1302 (Dense)           (None, 6)                 78        
_________________________________________________________________
dense_1303 (Dense)           (None, 6)                 42        
=================================================================
Total params: 252
Trainable params: 252
Non-trainable params: 0
_________________________________________________________________
In [253]:
# compiling the neural network classifier, adam optimizer
history = classifier.fit(X_train, y_train,batch_size = 50, epochs = 200, verbose = 1)
Epoch 1/200
27/27 [==============================] - 0s 1ms/step - loss: 1.6764 - accuracy: 0.3792
Epoch 2/200
27/27 [==============================] - 0s 1ms/step - loss: 1.4983 - accuracy: 0.4818
Epoch 3/200
27/27 [==============================] - 0s 910us/step - loss: 1.4054 - accuracy: 0.4848
Epoch 4/200
27/27 [==============================] - 0s 1ms/step - loss: 1.3519 - accuracy: 0.5056
Epoch 5/200
27/27 [==============================] - 0s 970us/step - loss: 1.3166 - accuracy: 0.5093
Epoch 6/200
27/27 [==============================] - 0s 1ms/step - loss: 1.2911 - accuracy: 0.5138
Epoch 7/200
27/27 [==============================] - 0s 888us/step - loss: 1.2704 - accuracy: 0.5048
Epoch 8/200
27/27 [==============================] - 0s 1ms/step - loss: 1.2530 - accuracy: 0.5138
Epoch 9/200
27/27 [==============================] - 0s 978us/step - loss: 1.2373 - accuracy: 0.5167
Epoch 10/200
27/27 [==============================] - 0s 896us/step - loss: 1.2231 - accuracy: 0.5190
Epoch 11/200
27/27 [==============================] - 0s 1ms/step - loss: 1.2096 - accuracy: 0.5130
Epoch 12/200
27/27 [==============================] - 0s 1ms/step - loss: 1.1963 - accuracy: 0.5219
Epoch 13/200
27/27 [==============================] - 0s 887us/step - loss: 1.1837 - accuracy: 0.5257
Epoch 14/200
27/27 [==============================] - 0s 941us/step - loss: 1.1715 - accuracy: 0.5271
Epoch 15/200
27/27 [==============================] - 0s 1ms/step - loss: 1.1597 - accuracy: 0.5353
Epoch 16/200
27/27 [==============================] - 0s 1ms/step - loss: 1.1484 - accuracy: 0.5368
Epoch 17/200
27/27 [==============================] - 0s 937us/step - loss: 1.1378 - accuracy: 0.5375
Epoch 18/200
27/27 [==============================] - 0s 1ms/step - loss: 1.1284 - accuracy: 0.5420
Epoch 19/200
27/27 [==============================] - 0s 943us/step - loss: 1.1182 - accuracy: 0.5413
Epoch 20/200
27/27 [==============================] - 0s 906us/step - loss: 1.1094 - accuracy: 0.5457
Epoch 21/200
27/27 [==============================] - 0s 1ms/step - loss: 1.1014 - accuracy: 0.5472
Epoch 22/200
27/27 [==============================] - 0s 902us/step - loss: 1.0935 - accuracy: 0.5472
Epoch 23/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0869 - accuracy: 0.5502
Epoch 24/200
27/27 [==============================] - 0s 948us/step - loss: 1.0802 - accuracy: 0.5487
Epoch 25/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0747 - accuracy: 0.5569
Epoch 26/200
27/27 [==============================] - 0s 919us/step - loss: 1.0684 - accuracy: 0.5584
Epoch 27/200
27/27 [==============================] - 0s 870us/step - loss: 1.0642 - accuracy: 0.5599
Epoch 28/200
27/27 [==============================] - 0s 935us/step - loss: 1.0593 - accuracy: 0.5651
Epoch 29/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0556 - accuracy: 0.5688
Epoch 30/200
27/27 [==============================] - 0s 917us/step - loss: 1.0517 - accuracy: 0.5725
Epoch 31/200
27/27 [==============================] - 0s 932us/step - loss: 1.0481 - accuracy: 0.5770
Epoch 32/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0448 - accuracy: 0.5784
Epoch 33/200
27/27 [==============================] - 0s 711us/step - loss: 1.0414 - accuracy: 0.5747
Epoch 34/200
27/27 [==============================] - 0s 811us/step - loss: 1.0389 - accuracy: 0.5755
Epoch 35/200
27/27 [==============================] - 0s 894us/step - loss: 1.0360 - accuracy: 0.5784
Epoch 36/200
27/27 [==============================] - 0s 986us/step - loss: 1.0339 - accuracy: 0.5814
Epoch 37/200
27/27 [==============================] - 0s 909us/step - loss: 1.0313 - accuracy: 0.5762
Epoch 38/200
27/27 [==============================] - 0s 901us/step - loss: 1.0288 - accuracy: 0.5799
Epoch 39/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0265 - accuracy: 0.5770
Epoch 40/200
27/27 [==============================] - 0s 901us/step - loss: 1.0244 - accuracy: 0.5799
Epoch 41/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0224 - accuracy: 0.5814
Epoch 42/200
27/27 [==============================] - 0s 905us/step - loss: 1.0204 - accuracy: 0.5814
Epoch 43/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0183 - accuracy: 0.5859
Epoch 44/200
27/27 [==============================] - 0s 997us/step - loss: 1.0160 - accuracy: 0.5822
Epoch 45/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0148 - accuracy: 0.5822
Epoch 46/200
27/27 [==============================] - 0s 944us/step - loss: 1.0126 - accuracy: 0.5859
Epoch 47/200
27/27 [==============================] - 0s 792us/step - loss: 1.0107 - accuracy: 0.5874
Epoch 48/200
27/27 [==============================] - 0s 878us/step - loss: 1.0093 - accuracy: 0.5829
Epoch 49/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0076 - accuracy: 0.5888
Epoch 50/200
27/27 [==============================] - 0s 990us/step - loss: 1.0059 - accuracy: 0.5881
Epoch 51/200
27/27 [==============================] - 0s 910us/step - loss: 1.0043 - accuracy: 0.5844
Epoch 52/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0031 - accuracy: 0.5888
Epoch 53/200
27/27 [==============================] - 0s 931us/step - loss: 1.0013 - accuracy: 0.5888
Epoch 54/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0004 - accuracy: 0.5911
Epoch 55/200
27/27 [==============================] - 0s 849us/step - loss: 0.9988 - accuracy: 0.5926
Epoch 56/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9971 - accuracy: 0.5888
Epoch 57/200
27/27 [==============================] - 0s 895us/step - loss: 0.9959 - accuracy: 0.5926
Epoch 58/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9946 - accuracy: 0.5918
Epoch 59/200
27/27 [==============================] - 0s 882us/step - loss: 0.9933 - accuracy: 0.5941
Epoch 60/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9919 - accuracy: 0.5933
Epoch 61/200
27/27 [==============================] - 0s 930us/step - loss: 0.9908 - accuracy: 0.5963
Epoch 62/200
27/27 [==============================] - 0s 627us/step - loss: 0.9896 - accuracy: 0.5918
Epoch 63/200
27/27 [==============================] - 0s 943us/step - loss: 0.9891 - accuracy: 0.5918
Epoch 64/200
27/27 [==============================] - 0s 901us/step - loss: 0.9876 - accuracy: 0.5955
Epoch 65/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9863 - accuracy: 0.5903
Epoch 66/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9854 - accuracy: 0.5933
Epoch 67/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9842 - accuracy: 0.5993
Epoch 68/200
27/27 [==============================] - 0s 889us/step - loss: 0.9834 - accuracy: 0.6007
Epoch 69/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9823 - accuracy: 0.5948
Epoch 70/200
27/27 [==============================] - 0s 943us/step - loss: 0.9814 - accuracy: 0.5918
Epoch 71/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9807 - accuracy: 0.5955
Epoch 72/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9799 - accuracy: 0.5926
Epoch 73/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9787 - accuracy: 0.5933
Epoch 74/200
27/27 [==============================] - 0s 909us/step - loss: 0.9777 - accuracy: 0.5978
Epoch 75/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9766 - accuracy: 0.5970
Epoch 76/200
27/27 [==============================] - 0s 878us/step - loss: 0.9759 - accuracy: 0.5978
Epoch 77/200
27/27 [==============================] - 0s 945us/step - loss: 0.9753 - accuracy: 0.5941
Epoch 78/200
27/27 [==============================] - 0s 894us/step - loss: 0.9742 - accuracy: 0.5955
Epoch 79/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9733 - accuracy: 0.5985
Epoch 80/200
27/27 [==============================] - 0s 957us/step - loss: 0.9726 - accuracy: 0.5955
Epoch 81/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9716 - accuracy: 0.5985
Epoch 82/200
27/27 [==============================] - 0s 924us/step - loss: 0.9711 - accuracy: 0.5941
Epoch 83/200
27/27 [==============================] - 0s 983us/step - loss: 0.9701 - accuracy: 0.5985
Epoch 84/200
27/27 [==============================] - 0s 879us/step - loss: 0.9696 - accuracy: 0.5955
Epoch 85/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9684 - accuracy: 0.5978
Epoch 86/200
27/27 [==============================] - 0s 936us/step - loss: 0.9680 - accuracy: 0.6052
Epoch 87/200
27/27 [==============================] - 0s 915us/step - loss: 0.9674 - accuracy: 0.5970
Epoch 88/200
27/27 [==============================] - 0s 916us/step - loss: 0.9665 - accuracy: 0.6045
Epoch 89/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9659 - accuracy: 0.6015
Epoch 90/200
27/27 [==============================] - 0s 929us/step - loss: 0.9654 - accuracy: 0.6052
Epoch 91/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9646 - accuracy: 0.6074
Epoch 92/200
27/27 [==============================] - 0s 915us/step - loss: 0.9645 - accuracy: 0.6089
Epoch 93/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9635 - accuracy: 0.6037
Epoch 94/200
27/27 [==============================] - 0s 962us/step - loss: 0.9629 - accuracy: 0.6037
Epoch 95/200
27/27 [==============================] - 0s 958us/step - loss: 0.9625 - accuracy: 0.6059
Epoch 96/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9616 - accuracy: 0.6112
Epoch 97/200
27/27 [==============================] - 0s 894us/step - loss: 0.9609 - accuracy: 0.6089
Epoch 98/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9602 - accuracy: 0.6059
Epoch 99/200
27/27 [==============================] - 0s 925us/step - loss: 0.9600 - accuracy: 0.6089
Epoch 100/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9594 - accuracy: 0.6052
Epoch 101/200
27/27 [==============================] - 0s 942us/step - loss: 0.9591 - accuracy: 0.6089
Epoch 102/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9585 - accuracy: 0.6104
Epoch 103/200
27/27 [==============================] - 0s 919us/step - loss: 0.9574 - accuracy: 0.6089
Epoch 104/200
27/27 [==============================] - 0s 951us/step - loss: 0.9579 - accuracy: 0.6104
Epoch 105/200
27/27 [==============================] - 0s 891us/step - loss: 0.9567 - accuracy: 0.6141
Epoch 106/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9563 - accuracy: 0.6126
Epoch 107/200
27/27 [==============================] - 0s 927us/step - loss: 0.9561 - accuracy: 0.6097
Epoch 108/200
27/27 [==============================] - 0s 996us/step - loss: 0.9552 - accuracy: 0.6097
Epoch 109/200
27/27 [==============================] - 0s 910us/step - loss: 0.9550 - accuracy: 0.6134
Epoch 110/200
27/27 [==============================] - 0s 997us/step - loss: 0.9543 - accuracy: 0.6141
Epoch 111/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9538 - accuracy: 0.6164
Epoch 112/200
27/27 [==============================] - 0s 929us/step - loss: 0.9532 - accuracy: 0.6104
Epoch 113/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9524 - accuracy: 0.6104
Epoch 114/200
27/27 [==============================] - 0s 939us/step - loss: 0.9523 - accuracy: 0.6126
Epoch 115/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9520 - accuracy: 0.6112
Epoch 116/200
27/27 [==============================] - 0s 899us/step - loss: 0.9512 - accuracy: 0.6149
Epoch 117/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9511 - accuracy: 0.6156
Epoch 118/200
27/27 [==============================] - 0s 920us/step - loss: 0.9504 - accuracy: 0.6097
Epoch 119/200
27/27 [==============================] - 0s 918us/step - loss: 0.9499 - accuracy: 0.6149
Epoch 120/200
27/27 [==============================] - 0s 997us/step - loss: 0.9499 - accuracy: 0.6104
Epoch 121/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9495 - accuracy: 0.6119
Epoch 122/200
27/27 [==============================] - 0s 932us/step - loss: 0.9492 - accuracy: 0.6112
Epoch 123/200
27/27 [==============================] - 0s 953us/step - loss: 0.9488 - accuracy: 0.6141
Epoch 124/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9486 - accuracy: 0.6126
Epoch 125/200
27/27 [==============================] - 0s 875us/step - loss: 0.9475 - accuracy: 0.6171
Epoch 126/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9478 - accuracy: 0.6141
Epoch 127/200
27/27 [==============================] - 0s 906us/step - loss: 0.9469 - accuracy: 0.6141
Epoch 128/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9466 - accuracy: 0.6141
Epoch 129/200
27/27 [==============================] - 0s 909us/step - loss: 0.9463 - accuracy: 0.6112
Epoch 130/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9461 - accuracy: 0.6156
Epoch 131/200
27/27 [==============================] - 0s 928us/step - loss: 0.9454 - accuracy: 0.6082
Epoch 132/200
27/27 [==============================] - 0s 814us/step - loss: 0.9449 - accuracy: 0.6134
Epoch 133/200
27/27 [==============================] - 0s 923us/step - loss: 0.9445 - accuracy: 0.6104
Epoch 134/200
27/27 [==============================] - 0s 973us/step - loss: 0.9446 - accuracy: 0.6126
Epoch 135/200
27/27 [==============================] - 0s 909us/step - loss: 0.9445 - accuracy: 0.6141
Epoch 136/200
27/27 [==============================] - 0s 988us/step - loss: 0.9434 - accuracy: 0.6104
Epoch 137/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9437 - accuracy: 0.6104
Epoch 138/200
27/27 [==============================] - 0s 954us/step - loss: 0.9429 - accuracy: 0.6119
Epoch 139/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9427 - accuracy: 0.6082
Epoch 140/200
27/27 [==============================] - 0s 952us/step - loss: 0.9419 - accuracy: 0.6171
Epoch 141/200
27/27 [==============================] - 0s 981us/step - loss: 0.9422 - accuracy: 0.6141
Epoch 142/200
27/27 [==============================] - 0s 838us/step - loss: 0.9415 - accuracy: 0.6149
Epoch 143/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9415 - accuracy: 0.6164
Epoch 144/200
27/27 [==============================] - 0s 874us/step - loss: 0.9407 - accuracy: 0.6097
Epoch 145/200
27/27 [==============================] - 0s 976us/step - loss: 0.9400 - accuracy: 0.6178
Epoch 146/200
27/27 [==============================] - 0s 979us/step - loss: 0.9404 - accuracy: 0.6067
Epoch 147/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9394 - accuracy: 0.6141
Epoch 148/200
27/27 [==============================] - 0s 882us/step - loss: 0.9393 - accuracy: 0.6052
Epoch 149/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9394 - accuracy: 0.6156
Epoch 150/200
27/27 [==============================] - 0s 929us/step - loss: 0.9389 - accuracy: 0.6134
Epoch 151/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9383 - accuracy: 0.6141
Epoch 152/200
27/27 [==============================] - 0s 904us/step - loss: 0.9382 - accuracy: 0.6141
Epoch 153/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9380 - accuracy: 0.6134
Epoch 154/200
27/27 [==============================] - 0s 916us/step - loss: 0.9381 - accuracy: 0.6126
Epoch 155/200
27/27 [==============================] - 0s 902us/step - loss: 0.9375 - accuracy: 0.6171
Epoch 156/200
27/27 [==============================] - 0s 929us/step - loss: 0.9370 - accuracy: 0.6104
Epoch 157/200
27/27 [==============================] - 0s 928us/step - loss: 0.9357 - accuracy: 0.6156
Epoch 158/200
27/27 [==============================] - 0s 936us/step - loss: 0.9371 - accuracy: 0.6164
Epoch 159/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9358 - accuracy: 0.6112
Epoch 160/200
27/27 [==============================] - 0s 939us/step - loss: 0.9359 - accuracy: 0.6193
Epoch 161/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9355 - accuracy: 0.6097
Epoch 162/200
27/27 [==============================] - 0s 921us/step - loss: 0.9347 - accuracy: 0.6216
Epoch 163/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9350 - accuracy: 0.6097
Epoch 164/200
27/27 [==============================] - 0s 881us/step - loss: 0.9341 - accuracy: 0.6119
Epoch 165/200
27/27 [==============================] - 0s 895us/step - loss: 0.9340 - accuracy: 0.6082
Epoch 166/200
27/27 [==============================] - 0s 914us/step - loss: 0.9339 - accuracy: 0.6141
Epoch 167/200
27/27 [==============================] - 0s 960us/step - loss: 0.9340 - accuracy: 0.6104
Epoch 168/200
27/27 [==============================] - 0s 960us/step - loss: 0.9328 - accuracy: 0.6104
Epoch 169/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9335 - accuracy: 0.6119
Epoch 170/200
27/27 [==============================] - 0s 911us/step - loss: 0.9324 - accuracy: 0.6141
Epoch 171/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9330 - accuracy: 0.6126
Epoch 172/200
27/27 [==============================] - 0s 898us/step - loss: 0.9324 - accuracy: 0.6164
Epoch 173/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9318 - accuracy: 0.6216
Epoch 174/200
27/27 [==============================] - 0s 949us/step - loss: 0.9313 - accuracy: 0.6171
Epoch 175/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9317 - accuracy: 0.6141
Epoch 176/200
27/27 [==============================] - 0s 884us/step - loss: 0.9310 - accuracy: 0.6112
Epoch 177/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9306 - accuracy: 0.6134
Epoch 178/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9303 - accuracy: 0.6141
Epoch 179/200
27/27 [==============================] - 0s 898us/step - loss: 0.9301 - accuracy: 0.6149
Epoch 180/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9295 - accuracy: 0.6164
Epoch 181/200
27/27 [==============================] - 0s 898us/step - loss: 0.9296 - accuracy: 0.6141
Epoch 182/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9285 - accuracy: 0.6171
Epoch 183/200
27/27 [==============================] - 0s 942us/step - loss: 0.9279 - accuracy: 0.6059
Epoch 184/200
27/27 [==============================] - 0s 933us/step - loss: 0.9288 - accuracy: 0.6193
Epoch 185/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9280 - accuracy: 0.6171
Epoch 186/200
27/27 [==============================] - 0s 922us/step - loss: 0.9284 - accuracy: 0.6178
Epoch 187/200
27/27 [==============================] - 0s 808us/step - loss: 0.9278 - accuracy: 0.6097
Epoch 188/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9268 - accuracy: 0.6089
Epoch 189/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9269 - accuracy: 0.6178
Epoch 190/200
27/27 [==============================] - 0s 884us/step - loss: 0.9266 - accuracy: 0.6149
Epoch 191/200
27/27 [==============================] - 0s 993us/step - loss: 0.9265 - accuracy: 0.6164
Epoch 192/200
27/27 [==============================] - 0s 980us/step - loss: 0.9268 - accuracy: 0.6134
Epoch 193/200
27/27 [==============================] - 0s 968us/step - loss: 0.9259 - accuracy: 0.6141
Epoch 194/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9256 - accuracy: 0.6119
Epoch 195/200
27/27 [==============================] - 0s 920us/step - loss: 0.9256 - accuracy: 0.6112
Epoch 196/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9251 - accuracy: 0.6104
Epoch 197/200
27/27 [==============================] - 0s 864us/step - loss: 0.9249 - accuracy: 0.6164
Epoch 198/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9247 - accuracy: 0.6112
Epoch 199/200
27/27 [==============================] - 0s 925us/step - loss: 0.9242 - accuracy: 0.6164
Epoch 200/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9242 - accuracy: 0.6089
In [255]:
# Adding in the SGD optimizer
optimizer = optimizers.SGD(lr=0.001)
classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])   
In [256]:
# compiling the neural network classifier, adam optimizer
history = classifier.fit(X_train, y_train,batch_size = 50, epochs = 200, verbose = 1)
Epoch 1/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9223 - accuracy: 0.6134
Epoch 2/200
27/27 [==============================] - 0s 948us/step - loss: 0.9223 - accuracy: 0.6156
Epoch 3/200
27/27 [==============================] - 0s 959us/step - loss: 0.9222 - accuracy: 0.6134
Epoch 4/200
27/27 [==============================] - 0s 942us/step - loss: 0.9222 - accuracy: 0.6141
Epoch 5/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9222 - accuracy: 0.6119
Epoch 6/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9222 - accuracy: 0.6126
Epoch 7/200
27/27 [==============================] - 0s 966us/step - loss: 0.9222 - accuracy: 0.6119
Epoch 8/200
27/27 [==============================] - 0s 966us/step - loss: 0.9221 - accuracy: 0.6134
Epoch 9/200
27/27 [==============================] - 0s 880us/step - loss: 0.9221 - accuracy: 0.6126
Epoch 10/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9221 - accuracy: 0.6149
Epoch 11/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9221 - accuracy: 0.6119
Epoch 12/200
27/27 [==============================] - 0s 942us/step - loss: 0.9220 - accuracy: 0.6134
Epoch 13/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9220 - accuracy: 0.6126
Epoch 14/200
27/27 [==============================] - 0s 884us/step - loss: 0.9220 - accuracy: 0.6134
Epoch 15/200
27/27 [==============================] - 0s 918us/step - loss: 0.9220 - accuracy: 0.6112
Epoch 16/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9219 - accuracy: 0.6134
Epoch 17/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9219 - accuracy: 0.6126
Epoch 18/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6134
Epoch 19/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6119
Epoch 20/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6112
Epoch 21/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6119
Epoch 22/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9218 - accuracy: 0.6119
Epoch 23/200
27/27 [==============================] - 0s 899us/step - loss: 0.9217 - accuracy: 0.6119
Epoch 24/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9217 - accuracy: 0.6112
Epoch 25/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9216 - accuracy: 0.6126
Epoch 26/200
27/27 [==============================] - 0s 979us/step - loss: 0.9216 - accuracy: 0.6126
Epoch 27/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9216 - accuracy: 0.6119
Epoch 28/200
27/27 [==============================] - 0s 953us/step - loss: 0.9216 - accuracy: 0.6112
Epoch 29/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9215 - accuracy: 0.6112
Epoch 30/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9215 - accuracy: 0.6119
Epoch 31/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9215 - accuracy: 0.6119
Epoch 32/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9214 - accuracy: 0.6119
Epoch 33/200
27/27 [==============================] - 0s 759us/step - loss: 0.9214 - accuracy: 0.6112
Epoch 34/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9214 - accuracy: 0.6104
Epoch 35/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9214 - accuracy: 0.6119
Epoch 36/200
27/27 [==============================] - 0s 994us/step - loss: 0.9213 - accuracy: 0.6126
Epoch 37/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9213 - accuracy: 0.6119
Epoch 38/200
27/27 [==============================] - 0s 828us/step - loss: 0.9213 - accuracy: 0.6119
Epoch 39/200
27/27 [==============================] - 0s 981us/step - loss: 0.9212 - accuracy: 0.6112
Epoch 40/200
27/27 [==============================] - 0s 781us/step - loss: 0.9212 - accuracy: 0.6112
Epoch 41/200
27/27 [==============================] - 0s 970us/step - loss: 0.9212 - accuracy: 0.6112
Epoch 42/200
27/27 [==============================] - 0s 768us/step - loss: 0.9212 - accuracy: 0.6119
Epoch 43/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9212 - accuracy: 0.6119
Epoch 44/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9211 - accuracy: 0.6126
Epoch 45/200
27/27 [==============================] - 0s 959us/step - loss: 0.9211 - accuracy: 0.6097
Epoch 46/200
27/27 [==============================] - 0s 984us/step - loss: 0.9211 - accuracy: 0.6119
Epoch 47/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9211 - accuracy: 0.6112
Epoch 48/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9210 - accuracy: 0.6119
Epoch 49/200
27/27 [==============================] - 0s 987us/step - loss: 0.9210 - accuracy: 0.6134
Epoch 50/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9210 - accuracy: 0.6134
Epoch 51/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9210 - accuracy: 0.6119
Epoch 52/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9209 - accuracy: 0.6112
Epoch 53/200
27/27 [==============================] - 0s 934us/step - loss: 0.9209 - accuracy: 0.6126
Epoch 54/200
27/27 [==============================] - 0s 988us/step - loss: 0.9209 - accuracy: 0.6156
Epoch 55/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9208 - accuracy: 0.6119
Epoch 56/200
27/27 [==============================] - 0s 878us/step - loss: 0.9208 - accuracy: 0.6112
Epoch 57/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9208 - accuracy: 0.6126
Epoch 58/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9208 - accuracy: 0.6112
Epoch 59/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9207 - accuracy: 0.6119
Epoch 60/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9207 - accuracy: 0.6119
Epoch 61/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9207 - accuracy: 0.6119
Epoch 62/200
27/27 [==============================] - 0s 956us/step - loss: 0.9206 - accuracy: 0.6134
Epoch 63/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9206 - accuracy: 0.6119
Epoch 64/200
27/27 [==============================] - 0s 960us/step - loss: 0.9206 - accuracy: 0.6134
Epoch 65/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9206 - accuracy: 0.6119
Epoch 66/200
27/27 [==============================] - 0s 949us/step - loss: 0.9205 - accuracy: 0.6119
Epoch 67/200
27/27 [==============================] - 0s 883us/step - loss: 0.9205 - accuracy: 0.6119
Epoch 68/200
27/27 [==============================] - 0s 968us/step - loss: 0.9205 - accuracy: 0.6126
Epoch 69/200
27/27 [==============================] - 0s 907us/step - loss: 0.9204 - accuracy: 0.6112
Epoch 70/200
27/27 [==============================] - 0s 967us/step - loss: 0.9204 - accuracy: 0.6119
Epoch 71/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9204 - accuracy: 0.6119
Epoch 72/200
27/27 [==============================] - 0s 895us/step - loss: 0.9204 - accuracy: 0.6126
Epoch 73/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9203 - accuracy: 0.6119
Epoch 74/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9203 - accuracy: 0.6134
Epoch 75/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9203 - accuracy: 0.6112
Epoch 76/200
27/27 [==============================] - 0s 831us/step - loss: 0.9203 - accuracy: 0.6119
Epoch 77/200
27/27 [==============================] - 0s 801us/step - loss: 0.9203 - accuracy: 0.6119
Epoch 78/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9202 - accuracy: 0.6119
Epoch 79/200
27/27 [==============================] - 0s 881us/step - loss: 0.9202 - accuracy: 0.6119
Epoch 80/200
27/27 [==============================] - 0s 881us/step - loss: 0.9202 - accuracy: 0.6104
Epoch 81/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9201 - accuracy: 0.6149
Epoch 82/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9201 - accuracy: 0.6097
Epoch 83/200
27/27 [==============================] - 0s 974us/step - loss: 0.9201 - accuracy: 0.6119
Epoch 84/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9201 - accuracy: 0.6126
Epoch 85/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9200 - accuracy: 0.6112
Epoch 86/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9200 - accuracy: 0.6112
Epoch 87/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9200 - accuracy: 0.6104
Epoch 88/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9199 - accuracy: 0.6126
Epoch 89/200
27/27 [==============================] - 0s 892us/step - loss: 0.9199 - accuracy: 0.6126
Epoch 90/200
27/27 [==============================] - 0s 969us/step - loss: 0.9199 - accuracy: 0.6141
Epoch 91/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9199 - accuracy: 0.6112
Epoch 92/200
27/27 [==============================] - 0s 917us/step - loss: 0.9199 - accuracy: 0.6119
Epoch 93/200
27/27 [==============================] - 0s 937us/step - loss: 0.9198 - accuracy: 0.6126
Epoch 94/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9198 - accuracy: 0.6119
Epoch 95/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9198 - accuracy: 0.6126
Epoch 96/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9198 - accuracy: 0.6119
Epoch 97/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9197 - accuracy: 0.6119
Epoch 98/200
27/27 [==============================] - 0s 878us/step - loss: 0.9198 - accuracy: 0.6126
Epoch 99/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9197 - accuracy: 0.6119
Epoch 100/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9196 - accuracy: 0.6119
Epoch 101/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9196 - accuracy: 0.6119
Epoch 102/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9196 - accuracy: 0.6119
Epoch 103/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9196 - accuracy: 0.6112
Epoch 104/200
27/27 [==============================] - 0s 781us/step - loss: 0.9195 - accuracy: 0.6119
Epoch 105/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9195 - accuracy: 0.6119
Epoch 106/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9195 - accuracy: 0.6119
Epoch 107/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9195 - accuracy: 0.6119
Epoch 108/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9194 - accuracy: 0.6119
Epoch 109/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9194 - accuracy: 0.6119
Epoch 110/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9194 - accuracy: 0.6119
Epoch 111/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9194 - accuracy: 0.6126
Epoch 112/200
27/27 [==============================] - 0s 991us/step - loss: 0.9194 - accuracy: 0.6112
Epoch 113/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6119
Epoch 114/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6104
Epoch 115/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6112
Epoch 116/200
27/27 [==============================] - 0s 2ms/step - loss: 0.9193 - accuracy: 0.6112
Epoch 117/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9192 - accuracy: 0.6112
Epoch 118/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9192 - accuracy: 0.6112
Epoch 119/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9191 - accuracy: 0.6126
Epoch 120/200
27/27 [==============================] - 0s 957us/step - loss: 0.9192 - accuracy: 0.6112
Epoch 121/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9191 - accuracy: 0.6119
Epoch 122/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9191 - accuracy: 0.6119
Epoch 123/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9191 - accuracy: 0.6126
Epoch 124/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6119
Epoch 125/200
27/27 [==============================] - 0s 926us/step - loss: 0.9190 - accuracy: 0.6112
Epoch 126/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6119
Epoch 127/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6112
Epoch 128/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6126
Epoch 129/200
27/27 [==============================] - 0s 990us/step - loss: 0.9190 - accuracy: 0.6112
Epoch 130/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9189 - accuracy: 0.6119
Epoch 131/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9189 - accuracy: 0.6126
Epoch 132/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9189 - accuracy: 0.6119
Epoch 133/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9188 - accuracy: 0.6112
Epoch 134/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9188 - accuracy: 0.6134
Epoch 135/200
27/27 [==============================] - 0s 793us/step - loss: 0.9188 - accuracy: 0.6112
Epoch 136/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6126
Epoch 137/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9188 - accuracy: 0.6134
Epoch 138/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6126
Epoch 139/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6112
Epoch 140/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6112
Epoch 141/200
27/27 [==============================] - 0s 791us/step - loss: 0.9186 - accuracy: 0.6126
Epoch 142/200
27/27 [==============================] - 0s 966us/step - loss: 0.9186 - accuracy: 0.6126
Epoch 143/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9186 - accuracy: 0.6119
Epoch 144/200
27/27 [==============================] - 0s 799us/step - loss: 0.9186 - accuracy: 0.6126
Epoch 145/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9185 - accuracy: 0.6126
Epoch 146/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9185 - accuracy: 0.6112
Epoch 147/200
27/27 [==============================] - 0s 993us/step - loss: 0.9185 - accuracy: 0.6134
Epoch 148/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9185 - accuracy: 0.6104
Epoch 149/200
27/27 [==============================] - 0s 921us/step - loss: 0.9185 - accuracy: 0.6112
Epoch 150/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9184 - accuracy: 0.6126
Epoch 151/200
27/27 [==============================] - ETA: 0s - loss: 0.9556 - accuracy: 0.58 - 0s 784us/step - loss: 0.9184 - accuracy: 0.6119
Epoch 152/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9184 - accuracy: 0.6112
Epoch 153/200
27/27 [==============================] - 0s 724us/step - loss: 0.9183 - accuracy: 0.6134
Epoch 154/200
27/27 [==============================] - 0s 987us/step - loss: 0.9183 - accuracy: 0.6104
Epoch 155/200
27/27 [==============================] - 0s 914us/step - loss: 0.9183 - accuracy: 0.6126
Epoch 156/200
27/27 [==============================] - 0s 914us/step - loss: 0.9183 - accuracy: 0.6119
Epoch 157/200
27/27 [==============================] - 0s 852us/step - loss: 0.9182 - accuracy: 0.6119
Epoch 158/200
27/27 [==============================] - 0s 683us/step - loss: 0.9182 - accuracy: 0.6112
Epoch 159/200
27/27 [==============================] - 0s 913us/step - loss: 0.9182 - accuracy: 0.6112
Epoch 160/200
27/27 [==============================] - 0s 897us/step - loss: 0.9182 - accuracy: 0.6126
Epoch 161/200
27/27 [==============================] - 0s 869us/step - loss: 0.9182 - accuracy: 0.6119
Epoch 162/200
27/27 [==============================] - 0s 866us/step - loss: 0.9181 - accuracy: 0.6119
Epoch 163/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9181 - accuracy: 0.6119
Epoch 164/200
27/27 [==============================] - 0s 912us/step - loss: 0.9180 - accuracy: 0.6112
Epoch 165/200
27/27 [==============================] - 0s 917us/step - loss: 0.9181 - accuracy: 0.6119
Epoch 166/200
27/27 [==============================] - 0s 922us/step - loss: 0.9180 - accuracy: 0.6119
Epoch 167/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9180 - accuracy: 0.6112
Epoch 168/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9179 - accuracy: 0.6119
Epoch 169/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9180 - accuracy: 0.6112
Epoch 170/200
27/27 [==============================] - 0s 953us/step - loss: 0.9179 - accuracy: 0.6119
Epoch 171/200
27/27 [==============================] - 0s 967us/step - loss: 0.9179 - accuracy: 0.6119
Epoch 172/200
27/27 [==============================] - 0s 705us/step - loss: 0.9179 - accuracy: 0.6119
Epoch 173/200
27/27 [==============================] - 0s 941us/step - loss: 0.9179 - accuracy: 0.6119
Epoch 174/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9179 - accuracy: 0.6126
Epoch 175/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9178 - accuracy: 0.6119
Epoch 176/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9177 - accuracy: 0.6119
Epoch 177/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9178 - accuracy: 0.6119
Epoch 178/200
27/27 [==============================] - 0s 855us/step - loss: 0.9177 - accuracy: 0.6126
Epoch 179/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9177 - accuracy: 0.6119
Epoch 180/200
27/27 [==============================] - 0s 2ms/step - loss: 0.9177 - accuracy: 0.6112
Epoch 181/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9177 - accuracy: 0.6119
Epoch 182/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9176 - accuracy: 0.6119
Epoch 183/200
27/27 [==============================] - 0s 898us/step - loss: 0.9176 - accuracy: 0.6119
Epoch 184/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9176 - accuracy: 0.6141
Epoch 185/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6126
Epoch 186/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6126
Epoch 187/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6126
Epoch 188/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6126
Epoch 189/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6119
Epoch 190/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9175 - accuracy: 0.6119
Epoch 191/200
27/27 [==============================] - 0s 864us/step - loss: 0.9174 - accuracy: 0.6119
Epoch 192/200
27/27 [==============================] - 0s 933us/step - loss: 0.9174 - accuracy: 0.6119
Epoch 193/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9174 - accuracy: 0.6119
Epoch 194/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9174 - accuracy: 0.6134
Epoch 195/200
27/27 [==============================] - 0s 996us/step - loss: 0.9173 - accuracy: 0.6126
Epoch 196/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9173 - accuracy: 0.6112
Epoch 197/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9173 - accuracy: 0.6119
Epoch 198/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9172 - accuracy: 0.6119
Epoch 199/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9172 - accuracy: 0.6126
Epoch 200/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9172 - accuracy: 0.6119
In [258]:
# Adding the adam optimizer
optimizer = optimizers.Adam(lr=0.1)
classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])   
In [259]:
# compiling the neural network classifier, adam optimizer
history = classifier.fit(X_train, y_train,batch_size = 50, epochs = 200, verbose = 1)
Epoch 1/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0838 - accuracy: 0.5532
Epoch 2/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9954 - accuracy: 0.5710
Epoch 3/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9746 - accuracy: 0.5747
Epoch 4/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9805 - accuracy: 0.5792
Epoch 5/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9566 - accuracy: 0.5844
Epoch 6/200
27/27 [==============================] - 0s 994us/step - loss: 0.9717 - accuracy: 0.5777
Epoch 7/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9789 - accuracy: 0.5792
Epoch 8/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9590 - accuracy: 0.6015
Epoch 9/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9236 - accuracy: 0.6000
Epoch 10/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9228 - accuracy: 0.6000
Epoch 11/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9292 - accuracy: 0.6082
Epoch 12/200
27/27 [==============================] - 0s 941us/step - loss: 0.9310 - accuracy: 0.6067
Epoch 13/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9354 - accuracy: 0.5985
Epoch 14/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9202 - accuracy: 0.6112
Epoch 15/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9368 - accuracy: 0.6074
Epoch 16/200
27/27 [==============================] - 0s 877us/step - loss: 0.9401 - accuracy: 0.5903
Epoch 17/200
27/27 [==============================] - 0s 986us/step - loss: 0.9371 - accuracy: 0.6052
Epoch 18/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9202 - accuracy: 0.5926
Epoch 19/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9590 - accuracy: 0.6007
Epoch 20/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9324 - accuracy: 0.5978
Epoch 21/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9034 - accuracy: 0.6089
Epoch 22/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9332 - accuracy: 0.6052
Epoch 23/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9182 - accuracy: 0.6052
Epoch 24/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9268 - accuracy: 0.5710
Epoch 25/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9142 - accuracy: 0.6104
Epoch 26/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9254 - accuracy: 0.5941
Epoch 27/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9507 - accuracy: 0.5866
Epoch 28/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9774 - accuracy: 0.5918
Epoch 29/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9724 - accuracy: 0.5866
Epoch 30/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.6030
Epoch 31/200
27/27 [==============================] - 0s 869us/step - loss: 0.9464 - accuracy: 0.5985
Epoch 32/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9139 - accuracy: 0.6067
Epoch 33/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9028 - accuracy: 0.6134
Epoch 34/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9278 - accuracy: 0.5844
Epoch 35/200
27/27 [==============================] - 0s 937us/step - loss: 0.9249 - accuracy: 0.6216
Epoch 36/200
27/27 [==============================] - 0s 901us/step - loss: 0.9504 - accuracy: 0.6126
Epoch 37/200
27/27 [==============================] - 0s 957us/step - loss: 0.9609 - accuracy: 0.6007
Epoch 38/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9723 - accuracy: 0.5918
Epoch 39/200
27/27 [==============================] - 0s 893us/step - loss: 0.9637 - accuracy: 0.5918
Epoch 40/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9346 - accuracy: 0.6208
Epoch 41/200
27/27 [==============================] - 0s 934us/step - loss: 0.9290 - accuracy: 0.6067
Epoch 42/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9227 - accuracy: 0.6007
Epoch 43/200
27/27 [==============================] - 0s 964us/step - loss: 0.9113 - accuracy: 0.6097
Epoch 44/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9146 - accuracy: 0.6126
Epoch 45/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9303 - accuracy: 0.5911
Epoch 46/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9325 - accuracy: 0.5941
Epoch 47/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9064 - accuracy: 0.6149
Epoch 48/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9271 - accuracy: 0.6030
Epoch 49/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9267 - accuracy: 0.5978
Epoch 50/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9064 - accuracy: 0.6119
Epoch 51/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9035 - accuracy: 0.6089
Epoch 52/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9272 - accuracy: 0.5903
Epoch 53/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9652 - accuracy: 0.5621
Epoch 54/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9370 - accuracy: 0.5844
Epoch 55/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9454 - accuracy: 0.6082
Epoch 56/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9117 - accuracy: 0.6156
Epoch 57/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9161 - accuracy: 0.5881
Epoch 58/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9122 - accuracy: 0.6097
Epoch 59/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9227 - accuracy: 0.6082
Epoch 60/200
27/27 [==============================] - 0s 1ms/step - loss: 0.8968 - accuracy: 0.6171
Epoch 61/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9062 - accuracy: 0.6149
Epoch 62/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9139 - accuracy: 0.6126
Epoch 63/200
27/27 [==============================] - 0s 1ms/step - loss: 0.8959 - accuracy: 0.6052
Epoch 64/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9109 - accuracy: 0.6082
Epoch 65/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9167 - accuracy: 0.6037
Epoch 66/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.5844
Epoch 67/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9419 - accuracy: 0.6059
Epoch 68/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9676 - accuracy: 0.5881
Epoch 69/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9762 - accuracy: 0.5881
Epoch 70/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9433 - accuracy: 0.5814
Epoch 71/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9384 - accuracy: 0.6089
Epoch 72/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9294 - accuracy: 0.6067
Epoch 73/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9256 - accuracy: 0.6074
Epoch 74/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9017 - accuracy: 0.6290
Epoch 75/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9172 - accuracy: 0.6126
Epoch 76/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9060 - accuracy: 0.6037
Epoch 77/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9357 - accuracy: 0.5732
Epoch 78/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9277 - accuracy: 0.5888
Epoch 79/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9104 - accuracy: 0.6141
Epoch 80/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9322 - accuracy: 0.6089
Epoch 81/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9563 - accuracy: 0.5903
Epoch 82/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9408 - accuracy: 0.5807
Epoch 83/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9063 - accuracy: 0.6037
Epoch 84/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9050 - accuracy: 0.6104
Epoch 85/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9161 - accuracy: 0.6193
Epoch 86/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9076 - accuracy: 0.6052
Epoch 87/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9152 - accuracy: 0.6082
Epoch 88/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6082
Epoch 89/200
27/27 [==============================] - 0s 1ms/step - loss: 0.8987 - accuracy: 0.6037
Epoch 90/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9157 - accuracy: 0.6141
Epoch 91/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9666 - accuracy: 0.6007
Epoch 92/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9329 - accuracy: 0.6082
Epoch 93/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9203 - accuracy: 0.6134
Epoch 94/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9204 - accuracy: 0.5993
Epoch 95/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9515 - accuracy: 0.6104
Epoch 96/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9052 - accuracy: 0.6097
Epoch 97/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9089 - accuracy: 0.6097
Epoch 98/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9300 - accuracy: 0.6067
Epoch 99/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9311 - accuracy: 0.5799
Epoch 100/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9159 - accuracy: 0.6074
Epoch 101/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9630 - accuracy: 0.5710
Epoch 102/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9262 - accuracy: 0.5985
Epoch 103/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9373 - accuracy: 0.5829
Epoch 104/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9170 - accuracy: 0.5844
Epoch 105/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9533 - accuracy: 0.5955
Epoch 106/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9781 - accuracy: 0.5836
Epoch 107/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9769 - accuracy: 0.5628
Epoch 108/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9423 - accuracy: 0.5770
Epoch 109/200
27/27 [==============================] - 0s 969us/step - loss: 0.9806 - accuracy: 0.5546
Epoch 110/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9554 - accuracy: 0.5680
Epoch 111/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9589 - accuracy: 0.5725
Epoch 112/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9516 - accuracy: 0.5896
Epoch 113/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9767 - accuracy: 0.5695
Epoch 114/200
27/27 [==============================] - 0s 2ms/step - loss: 0.9452 - accuracy: 0.6067
Epoch 115/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9347 - accuracy: 0.5948
Epoch 116/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9581 - accuracy: 0.5799
Epoch 117/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9413 - accuracy: 0.5903
Epoch 118/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9469 - accuracy: 0.5948
Epoch 119/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9366 - accuracy: 0.6030
Epoch 120/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9390 - accuracy: 0.5903
Epoch 121/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9244 - accuracy: 0.6119
Epoch 122/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9138 - accuracy: 0.6037
Epoch 123/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9208 - accuracy: 0.6097
Epoch 124/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9132 - accuracy: 0.6275
Epoch 125/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9187 - accuracy: 0.6164
Epoch 126/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9027 - accuracy: 0.6260
Epoch 127/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9097 - accuracy: 0.6216
Epoch 128/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9053 - accuracy: 0.6156
Epoch 129/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9094 - accuracy: 0.6201
Epoch 130/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9282 - accuracy: 0.6230
Epoch 131/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9285 - accuracy: 0.6082
Epoch 132/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9002 - accuracy: 0.6275
Epoch 133/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9271 - accuracy: 0.5948
Epoch 134/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9448 - accuracy: 0.6015
Epoch 135/200
27/27 [==============================] - 0s 979us/step - loss: 0.9775 - accuracy: 0.5963
Epoch 136/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9531 - accuracy: 0.6112
Epoch 137/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0390 - accuracy: 0.5955
Epoch 138/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9700 - accuracy: 0.6000
Epoch 139/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9510 - accuracy: 0.5926
Epoch 140/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9278 - accuracy: 0.6171
Epoch 141/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9506 - accuracy: 0.6030
Epoch 142/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9653 - accuracy: 0.6089
Epoch 143/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9487 - accuracy: 0.5993
Epoch 144/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9522 - accuracy: 0.6082
Epoch 145/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9255 - accuracy: 0.6149
Epoch 146/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9353 - accuracy: 0.6037
Epoch 147/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9407 - accuracy: 0.6178
Epoch 148/200
27/27 [==============================] - 0s 2ms/step - loss: 0.9352 - accuracy: 0.6074
Epoch 149/200
27/27 [==============================] - 0s 2ms/step - loss: 0.9263 - accuracy: 0.6104
Epoch 150/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9595 - accuracy: 0.5933
Epoch 151/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9583 - accuracy: 0.6037
Epoch 152/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9572 - accuracy: 0.5799
Epoch 153/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9383 - accuracy: 0.6052
Epoch 154/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9195 - accuracy: 0.6283
Epoch 155/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9171 - accuracy: 0.6230
Epoch 156/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9244 - accuracy: 0.6268
Epoch 157/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9762 - accuracy: 0.6208
Epoch 158/200
27/27 [==============================] - 0s 1ms/step - loss: 1.0256 - accuracy: 0.5918
Epoch 159/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9599 - accuracy: 0.6186
Epoch 160/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.6230
Epoch 161/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9435 - accuracy: 0.6208
Epoch 162/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9250 - accuracy: 0.6223
Epoch 163/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9614 - accuracy: 0.6141
Epoch 164/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9372 - accuracy: 0.6104
Epoch 165/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9341 - accuracy: 0.6112
Epoch 166/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9311 - accuracy: 0.5948
Epoch 167/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9414 - accuracy: 0.6030
Epoch 168/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9466 - accuracy: 0.5993
Epoch 169/200
27/27 [==============================] - 0s 2ms/step - loss: 0.9437 - accuracy: 0.6230
Epoch 170/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9204 - accuracy: 0.6149
Epoch 171/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.6193
Epoch 172/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9284 - accuracy: 0.6245
Epoch 173/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9190 - accuracy: 0.6156
Epoch 174/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9169 - accuracy: 0.6208
Epoch 175/200
27/27 [==============================] - 0s 3ms/step - loss: 0.9182 - accuracy: 0.6178
Epoch 176/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9530 - accuracy: 0.6164
Epoch 177/200
27/27 [==============================] - 0s 917us/step - loss: 0.9507 - accuracy: 0.6126
Epoch 178/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9279 - accuracy: 0.6045
Epoch 179/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9202 - accuracy: 0.6149
Epoch 180/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9242 - accuracy: 0.6171
Epoch 181/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9209 - accuracy: 0.6074
Epoch 182/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9149 - accuracy: 0.6134
Epoch 183/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9204 - accuracy: 0.6216
Epoch 184/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9308 - accuracy: 0.6149
Epoch 185/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9368 - accuracy: 0.6141
Epoch 186/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9353 - accuracy: 0.6112
Epoch 187/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9140 - accuracy: 0.6245
Epoch 188/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9189 - accuracy: 0.6349
Epoch 189/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9217 - accuracy: 0.6156
Epoch 190/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9149 - accuracy: 0.6275
Epoch 191/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9274 - accuracy: 0.6149
Epoch 192/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9401 - accuracy: 0.5970
Epoch 193/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9404 - accuracy: 0.6007
Epoch 194/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9142 - accuracy: 0.6230
Epoch 195/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9253 - accuracy: 0.6223
Epoch 196/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9294 - accuracy: 0.6260
Epoch 197/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9181 - accuracy: 0.6253
Epoch 198/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9193 - accuracy: 0.6193
Epoch 199/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9360 - accuracy: 0.6186
Epoch 200/200
27/27 [==============================] - 0s 1ms/step - loss: 0.9683 - accuracy: 0.6119
In [260]:
classifier.evaluate(X_test,y_test)
WARNING:tensorflow:5 out of the last 17 calls to <function Model.make_test_function.<locals>.test_function at 0x000002550EAA8310> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
1/1 [==============================] - 0s 7ms/step - loss: 1.3388 - accuracy: 0.7857
Out[260]:
[1.3388004302978516, 0.7857142686843872]

Saving The Classifier Model

In [261]:
classifier.save('classifier_model.h5')

from keras.models import load_model
classifier_model = load_model('classifier_model.h5')
In [262]:
classifier_model.evaluate(X_test,y_test)
WARNING:tensorflow:5 out of the last 11 calls to <function Model.make_test_function.<locals>.test_function at 0x00000255151448B0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
1/1 [==============================] - 0s 0s/step - loss: 1.3388 - accuracy: 0.7857
Out[262]:
[1.3388004302978516, 0.7857142686843872]

Making the Predictions

In [263]:
Predictions_Made = []
for i in TargetVariable:
    j = ''
    j = 'Predicted_' + i
    Predictions_Made.append(j)
In [266]:
# Predictions on testing data
Predictions=classifier.predict(X_test)
p = classifier.predict_classes(X_test)

# Scaling the test data back to original scale
Test_Data=PredictorScalerFit.inverse_transform(X_test)

# Generating a data frame for analyzing the test data
TestingData = pd.DataFrame()
TestingData=pd.DataFrame(data=Test_Data, columns=Predictors)
TestingData[TargetVariable[0]] = y_test[:,0]
TestingData[TargetVariable[1]] = y_test[:,1]
TestingData[TargetVariable[2]] = y_test[:,2]
TestingData[TargetVariable[3]] = y_test[:,3]
TestingData[TargetVariable[4]] = y_test[:,4]
TestingData[TargetVariable[5]] = y_test[:,5]

TestingData = TestingData.rename(columns={TargetVariable[0]:3,TargetVariable[1]:4,TargetVariable[2]:5,TargetVariable[3]:6,TargetVariable[4]:7,TargetVariable[5]:8 })

strength = []
for i in range(len(TestingData)):
    for col,val in TestingData.loc[i].iteritems():
        if val==1.0:
            strength.append(col)

strength = [ x for x in strength if "Parameter" not in str(x) ]
        
strength = np.array(strength)
TestingData['Actual_Signal_Strength'] = y_test_1
# print(TestingData.head())

TestingData.drop([3,4,5,6,7,8],axis=1,inplace=True)
        
TestingData[Predictions_Made[0]] = Predictions[:,0]
TestingData[Predictions_Made[1]] = Predictions[:,1]
TestingData[Predictions_Made[2]] = Predictions[:,2]
TestingData[Predictions_Made[3]] = Predictions[:,3]
TestingData[Predictions_Made[4]] = Predictions[:,4]
TestingData[Predictions_Made[5]] = Predictions[:,5]

### PROBABILITY METHOD ###

# def probThreshold(inpProb):
#     if inpProb>=0.3:
#         return(1)
#     else:
#         return(0)

# TestingData[Predictions_Made[0]]=TestingData[Predictions_Made[0]].apply(probThreshold)
# TestingData[Predictions_Made[1]]=TestingData[Predictions_Made[1]].apply(probThreshold)
# TestingData[Predictions_Made[2]]=TestingData[Predictions_Made[2]].apply(probThreshold)
# TestingData[Predictions_Made[3]]=TestingData[Predictions_Made[3]].apply(probThreshold)
# TestingData[Predictions_Made[4]]=TestingData[Predictions_Made[4]].apply(probThreshold)
# TestingData[Predictions_Made[5]]=TestingData[Predictions_Made[5]].apply(probThreshold)

# TestingData = TestingData.rename(columns={Predictions_Made[0]:3,Predictions_Made[1]:4,Predictions_Made[2]:5,Predictions_Made[3]:6,Predictions_Made[4]:7,Predictions_Made[5]:8 })

# predicted_strength = []
# for i in range(len(TestingData)):
#     for col,val in TestingData.loc[i].iteritems():
#         if val==1.0:
#             predicted_strength.append(col)

# predicted_strength = [ x for x in strength if "Parameter" not in str(x) ]
        
# predicted_strength = np.array(predicted_strength)

TestingData['Predicted_Signal_Strength'] = p
# print(TestingData.head())

TestingData['Predicted_Signal_Strength'] = TestingData['Predicted_Signal_Strength'].replace({0:3,1:4,2:5,3:6,4:7,5:8})

TestingData.drop(Predictions_Made,axis=1,inplace=True)

TestingData.head()
Out[266]:
Parameter 1 Parameter 2 Parameter 3 Parameter 5 Parameter 6 Parameter 7 Parameter 8 Parameter 9 Parameter 10 Parameter 11 Actual_Signal_Strength Predicted_Signal_Strength
0 5.6 0.54 0.04 0.049 5.0 13.0 0.99420 3.72 0.58 11.4 5 5
1 12.4 0.35 0.49 0.079 27.0 69.0 0.99940 3.12 0.75 10.4 6 6
2 6.2 0.51 0.14 0.056 15.0 34.0 0.99396 3.48 0.57 11.5 6 6
3 8.8 0.64 0.17 0.084 25.0 130.0 0.99818 3.23 0.54 9.6 5 5
4 7.4 0.55 0.19 0.082 15.0 34.0 0.99655 3.49 0.68 10.5 5 5

Confusion Matrix and Classification Report

In [267]:
from sklearn import metrics

strength = TestingData['Actual_Signal_Strength'].values
p = TestingData['Predicted_Signal_Strength'].values

cm_classifier=metrics.confusion_matrix(strength, p, labels=[3, 4,5,6,7,8])

cm_classifier = pd.DataFrame(cm_classifier, index = [i for i in ["3","4","5","6","7","8"]],
                  columns = [i for i in ["Predict 3","Predict 4","Predict 5","Predict 6","Predict 7","Predict 8"]])
plt.figure(figsize = (15,15))
sns.heatmap(cm_classifier, annot=True,cmap="Blues",fmt='g')
Out[267]:
<matplotlib.axes._subplots.AxesSubplot at 0x2555a6c7eb0>
In [268]:
print(metrics.classification_report(strength,p))
              precision    recall  f1-score   support

           5       0.80      1.00      0.89         8
           6       0.75      0.60      0.67         5
           7       0.00      0.00      0.00         1

    accuracy                           0.79        14
   macro avg       0.52      0.53      0.52        14
weighted avg       0.72      0.79      0.75        14

In [269]:
accuracy_classifier = metrics.classification_report(strength, p).split()[-2]
accuracy_percentage_classifier = float(accuracy_classifier)*100
In [270]:
print('The Accuracy of the Neural Network Classifier is :',accuracy_percentage_classifier,'%')
The Accuracy of the Neural Network Classifier is : 75.0 %

Part III - Clickable GUI

In [148]:
import tkinter as tk
from tkinter import ttk
import pandas as pd

    
win = tk.Tk()
win.title('Neural Networks GUI')

# df = pd.DataFrame()
def import_file():
    global df
    file_name = file.get()
    if '.csv' in file_name:
        df = pd.read_csv(file_name)
    else:
        if '.pickle' in file_name:
            df = pd.read_pickle(file_name)
        else:
            df = pd.read_excel(file_name)
    var = 'Imported !'
    box = tk.Entry(win,width=10,textvariable=var)
    box.grid(row=0,column=5)
    box.insert(1,var)
    return df

# df.head()
    
def import_target():
    global column_name,predictors,X,y
    column_name = column.get()
    if column_name in data.columns.to_list():
        var = 'Found !'
        box = tk.Entry(win,width=17,textvariable=var)
        box.grid(row=4,column=5)
        box.insert(1,var)
    else:
        var = 'Incorrect Column'
        box = tk.Entry(win,width=17,textvariable=var)
        box.grid(row=4,column=5)
        box.insert(1,var)
        
### Performing the usual steps for creating the model ###
        
    predictors = df.drop(column_name,axis=1).columns.to_list()
    target = [column_name]

    X = df[predictors].values
    y = df[target].values
    

# print(X)
# ----------------------------------------------- REGRESSION -------------------------------------------------- #
def train_model_reg():    
    print('Regression Training in Progress.........')
    global model_reg,X_train_reg, X_test_reg, y_train_reg, y_test_reg,TargetVarScalerFit
    ### Sandardization of data ###
    from sklearn.preprocessing import StandardScaler
    PredictorScaler=StandardScaler()
    TargetVarScaler=StandardScaler()

    # Storing the fit object for later reference
    PredictorScalerFit=PredictorScaler.fit(X)
    TargetVarScalerFit=TargetVarScaler.fit(y)
    
    # Generating the standardized values of X and y
    X_reg=PredictorScalerFit.transform(X)
    y_reg=TargetVarScalerFit.transform(y)

    # Split the data into training and testing set
    from sklearn.model_selection import train_test_split
    X_train_reg, X_test_reg, y_train_reg, y_test_reg = train_test_split(X_reg, y_reg, test_size=0.3, random_state=42)

    # create ANN model
    model_reg = Sequential()
    # Defining the first layer of the model
    model_reg.add(Dense(units=10, input_dim=10, kernel_initializer='normal', activation='relu'))

    # Defining the Second layer of the model
    model_reg.add(Dense(units=5, kernel_initializer='normal', activation='relu'))

    # The output neuron is a single fully connected node 
    # Since we will be predicting a single number
    model_reg.add(Dense(1, kernel_initializer='normal'))

    # Compiling the model
    model_reg.compile(loss='mean_squared_error', optimizer='adam' )

    # Fitting the model
    model_reg.fit(X_train,y_train,batch_size=50,epochs=100,verbose=0)

    var1 = 'Trained Regressor!'
    box1 = tk.Entry(win,width=17,textvariable=var1)
    box1.grid(row=9,column=4)
    box1.insert(1,var1)
    
def save_reg_model(): 
    global model_reg_loaded
    model_reg.save('model_reg.h5')
    from keras.models import load_model
    model_reg_loaded = load_model('model_reg.h5')
    var_reg = 'Stored Regressor!'
    box = tk.Entry(win,width=17,textvariable=var_reg)
    box.grid(row=10,column=4)
    box.insert(1,var_reg)
    
def reg_model_accuracy(): 
    y_orig = TargetVarScalerFit.inverse_transform(y_test_reg)
    predictions = model_reg_loaded.predict(X_test_reg)
    predictions = TargetVarScalerFit.inverse_transform(predictions)
    result = 100 - np.mean(np.abs(((y_orig-predictions)/(y_orig))*100))
    result = round(result,2)
    print('The Accuracy of the regressor is: ',result,'%')
    print('########### END OF REGRESSION ###########')
    var = str(result) + '%'
    box = tk.Entry(win,width=10,textvariable=var)
    box.grid(row=11,column=4)
    box.insert(1,var)
    
# ------------------------------------------------ CLASSIFIER ------------------------------------------------- #
        
def train_model_cla():
    global classifier,y_test_1_cla,accuracy_cla,df2
    print('Classifier Training in Progress.........')
    # After Standardization of data
    # Separate Target Variable and Predictor Variables
    
    df2 = df[:]
    y = pd.get_dummies(df2,columns=[column_name])
    df2 = y[:]

    # TargetVariable=['Signal_Strength']
    TargetVariable=['Signal_Strength_3','Signal_Strength_4','Signal_Strength_5','Signal_Strength_6','Signal_Strength_7','Signal_Strength_8']
    Predictors=df2.drop(['Signal_Strength_3','Signal_Strength_4','Signal_Strength_5','Signal_Strength_6','Signal_Strength_7','Signal_Strength_8'],axis=1).columns.to_list()
    # Predictors = signal_data.drop(['Signal_Strength'],axis=1).columns.to_list()

    # TargetVariable=['Signal_Strength']
    # Predictors=signal_data.drop('Signal_Strength',axis=1).columns.to_list()

    X_cla=df2[Predictors].values
    y_cla=df2[TargetVariable].values

    ### Sandardization of data ###
    from sklearn.preprocessing import StandardScaler
    PredictorScaler=StandardScaler()

    # Storing the fit object for later reference
    PredictorScalerFit=PredictorScaler.fit(X_cla)

    # Generating the standardized values of X and y
    X_cla=PredictorScalerFit.transform(X_cla)

    # Split the data into training and testing set
    from sklearn.model_selection import train_test_split
    X_train_cla, X_test_cla, y_train_cla, y_test_cla = train_test_split(X_cla, y_cla, test_size=0.01, random_state=6)
    
    classifier = Sequential()
    classifier.add(Dense(units=32, input_dim=10, kernel_initializer='uniform', activation='relu'))
    classifier.add(Dense(units=16, kernel_initializer='uniform', activation='sigmoid'))
    classifier.add(Dense(units=6, kernel_initializer='uniform', activation='softmax'))
    classifier.compile(optimizer='sgd', loss='categorical_crossentropy', metrics=['accuracy'])

    optimizer = optimizers.SGD(lr=0.01)
    classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])

    optimizer = optimizers.SGD(lr=0.001)
    classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])

    optimizer = optimizers.Adam(lr=0.01)
    classifier.compile(optimizer, loss='categorical_crossentropy', metrics=['accuracy'])   
    
    classifier.fit(X_train_cla,y_train_cla,batch_size=100,epochs=200,verbose=0)
    
    accuracy_cla = round(classifier.evaluate(X_test_cla,y_test_cla)[1]*100,2)
    print(accuracy_cla,'%')
    
    var1 = 'Trained Classifier!'
    box1 = tk.Entry(win,width=17,textvariable=var1)
    box1.grid(row=13,column=4)
    box1.insert(1,var1)

    
def save_cla_model(): 
    global model_cla_loaded
    model_reg.save('model_cla.h5')
    from keras.models import load_model
    model_reg_loaded = load_model('model_cla.h5')
    var_cla = 'Stored Classifier!'
    box_cla = tk.Entry(win,width=17,textvariable=var_cla)
    box_cla.grid(row=14,column=4)
    box_cla.insert(1,var_cla)
    
def cla_model_accuracy(): 
    print('The Accuracy of the classifier is: ',accuracy_cla,'%')
    print('########### END OF CLASSIFICATION ###########')
    var = str(accuracy_cla) + '%'
    box = tk.Entry(win,width=10,textvariable=var)
    box.grid(row=15,column=4)
    box.insert(1,var)

# ----------------------------------------------- Step 1 ------------------------------------------------------ #

name = tk.Label(win,text='Step 1: Input File     ')
name.grid(row=0,column=0,sticky=tk.W)

file = tk.StringVar()
box = tk.Entry(win,width=16,textvariable=file)
box.grid(row=0,column=1)
# print(file)

space = tk.Label(win,text='     ')
space.grid(row=0,column=2,sticky=tk.W)

button1 = tk.Button(win,text='Import Data',command=import_file)
button1.grid(row=0,column=3,pady = 10, padx = 10)

space = tk.Label(win,text='     ')
space.grid(row=0,column=4,sticky=tk.W)

# ----------------------------------------------- Step 2 ------------------------------------------------------ #

name = tk.Label(win,text='Step 2: Target Column     ')
name.grid(row=4,column=0,sticky=tk.W)

column = tk.StringVar()
box = tk.Entry(win,width=16,textvariable=column)
box.grid(row=4,column=1)
# print(file)

space = tk.Label(win,text='     ')
space.grid(row=4,column=2,sticky=tk.W)

button2 = tk.Button(win,text='Select Target',command=import_target)
button2.grid(row=4,column=3,pady = 10, padx = 10)

space = tk.Label(win,text='     ')
space.grid(row=4,column=4,sticky=tk.W)

dashes = '-'*35
name = tk.Label(win,text=dashes)
name.grid(row=5,column=0,sticky=tk.W)

# ----------------------------------------------- Step 3 ------------------------------------------------------ #

name = tk.Label(win,text='Step 3: Neural network Regressor     ')
name.grid(row=8,column=0,sticky=tk.W)

name = tk.Label(win,text='Regression ')
name.grid(row=9,column=1,sticky=tk.W)

button3 = tk.Button(win,text='Train Model',command=train_model_reg)
button3.grid(row=9,column=2,pady = 10, padx = 10)

space = tk.Label(win,text='     ')
space.grid(row=9,column=3,sticky=tk.W)

name = tk.Label(win,text='Save the Model ')
name.grid(row=10,column=1,sticky=tk.W)

button4 = tk.Button(win,text='Save',command=save_reg_model)
button4.grid(row=10,column=2,pady = 10, padx = 10)

space = tk.Label(win,text='     ')
space.grid(row=10,column=3,sticky=tk.W)

name = tk.Label(win,text='Model Accuracy ')
name.grid(row=11,column=1,sticky=tk.W)

button3 = tk.Button(win,text='Check Accuracy',command=reg_model_accuracy)
button3.grid(row=11,column=2,pady = 10, padx = 10)

space = tk.Label(win,text='     ')
space.grid(row=11,column=3,sticky=tk.W)

dashes = '-'*35
name = tk.Label(win,text=dashes)
name.grid(row=12,column=0,sticky=tk.W)

# ----------------------------------------------- Step 4 ------------------------------------------------------ #

name = tk.Label(win,text='Step 4: Neural Network Classifier     ')
name.grid(row=13,column=0,sticky=tk.W)

name = tk.Label(win,text='Classification ')
name.grid(row=13,column=1,sticky=tk.W)

button3 = tk.Button(win,text='Train Model',command=train_model_cla)
button3.grid(row=13,column=2,pady = 10, padx = 10)

space = tk.Label(win,text='     ')
space.grid(row=13,column=3,sticky=tk.W)

name = tk.Label(win,text='Save the Model ')
name.grid(row=14,column=1,sticky=tk.W)

button4 = tk.Button(win,text='Save',command=save_cla_model)
button4.grid(row=14,column=2,pady = 10, padx = 10)

space = tk.Label(win,text='     ')
space.grid(row=14,column=3,sticky=tk.W)

name = tk.Label(win,text='Model Accuracy ')
name.grid(row=15,column=1,sticky=tk.W)

button3 = tk.Button(win,text='Check Accuracy',command=cla_model_accuracy)
button3.grid(row=15,column=2,pady = 10, padx = 10)

space = tk.Label(win,text='     ')
space.grid(row=15,column=3,sticky=tk.W)


# -------------------------------------------------------------------------------------------------------------- #

win.mainloop()
Regression Training in Progress.........
The Accuracy of the regressor is:  87.01 %
########### END OF REGRESSION ###########
Classifier Training in Progress.........
1/1 [==============================] - 0s 1ms/step - loss: 1.1765 - accuracy: 0.4286
42.86 %
The Accuracy of the classifier is:  42.86 %
########### END OF CLASSIFICATION ###########

Image of the GUI

In [149]:
from IPython.display import Image
Image("GUI.png")
Out[149]:

PART IV - Image Classifier Using Neural Network Classifier

In [150]:
# Importing the necessary libraries
import h5py
import keras
from keras.utils.np_utils import to_categorical
from keras.layers import Activation, Dense
from keras.layers import BatchNormalization, Dropout
from keras import optimizers
In [151]:
# Accessing the Image File
image_data = h5py.File("Part - 4 - Autonomous_Vehicles_SVHN_single_grey1.h5",'r')
In [152]:
image_data.keys()
Out[152]:
<KeysViewHDF5 ['X_test', 'X_train', 'X_val', 'y_test', 'y_train', 'y_val']>
In [153]:
#Loading the training, testing, and validation data

X_train = image_data['X_train']
X_test = image_data['X_test']
X_val = image_data['X_val']
y_train = image_data['y_train']
y_test = image_data['y_test']
y_val = image_data['y_val']
In [154]:
print("Training data X-- Shape :", X_train.shape,"and Data Type : ", X_train.dtype)
print("Testing data X-- Shape :", X_test.shape,"and Data Type : ", X_test.dtype)
print("Validation data X-- Shape :", X_val.shape,"and Data Type : ", X_val.dtype)
print("Training data y-- Shape :", y_train.shape,"and Data Type : ", y_train.dtype)
print("Testing data y-- Shape :", y_test.shape,"and Data Type : ", y_test.dtype)
print("Validation data y-- Shape :", y_val.shape,"and Data Type : ", y_val.dtype)
Training data X-- Shape : (42000, 32, 32) and Data Type :  float32
Testing data X-- Shape : (18000, 32, 32) and Data Type :  float32
Validation data X-- Shape : (60000, 32, 32) and Data Type :  float32
Training data y-- Shape : (42000,) and Data Type :  uint8
Testing data y-- Shape : (18000,) and Data Type :  uint8
Validation data y-- Shape : (60000,) and Data Type :  uint8
In [155]:
# Plotting the images

fig=plt.figure(figsize=(15,15))
columns=10
rows=10
for i in range(1, columns*rows+1):
    img=X_test[i]
    fig.add_subplot(rows,columns,i)
    plt.imshow(img,cmap='gray')
plt.show()
In [156]:
# visualizing the first 5 images in the dataset and their labels

%matplotlib inline
import matplotlib.pyplot as plt
plt.figure(figsize=(13, 3))
for i in range(5):
    plt.subplot(1, 6, i+1)
    plt.imshow(X_train[i].reshape(32,32),cmap='gray')
    plt.axis('off')
plt.show()

print('The Image Lables are: %s' % (y_train[0:5]))
The Image Lables are: [2 6 7 4 4]
In [157]:
# 2D to 1D Conversion
import numpy as np

X_train = np.asarray(X_train).reshape(42000,1024)
X_test = np.asarray(X_test).reshape(18000,1024)
X_val = np.asarray(X_val).reshape(60000,1024)
In [158]:
# One-Hot Encoding

y_train = keras.utils.to_categorical(y_train, num_classes=10)
y_test = keras.utils.to_categorical(y_test, num_classes=10)
y_val = keras.utils.to_categorical(y_val, num_classes=10)
In [159]:
print(X_train.shape, X_test.shape,X_val.shape, y_train.shape, y_test.shape,y_val.shape)
(42000, 1024) (18000, 1024) (60000, 1024) (42000, 10) (18000, 10) (60000, 10)
In [160]:
from keras import Sequential
image_classifier = Sequential()
In [161]:
# Initialize the neural network classifier
image_classifier = Sequential()

# Input Layer - adding input layer and activation functions relu
image_classifier.add(Dense(256, input_shape = (1024, )))
# Adding activation function
image_classifier.add(Activation('relu'))

#Hidden Layer 1 - adding first hidden layer
image_classifier.add(Dense(128))
# Adding activation function
image_classifier.add(Activation('relu'))

#Hidden Layer 2 - Adding second hidden layer
image_classifier.add(Dense(64))
# Adding activation function
image_classifier.add(Activation('relu'))

# Output Layer - adding output layer which is of 10 nodes (digits)
image_classifier.add(Dense(10))
# Adding activation function - softmax for multiclass classification
image_classifier.add(Activation('softmax'))
In [162]:
# compiling the neural network classifier, adam optimizer
adam = optimizers.Adam(lr = 0.001)
image_classifier.compile(optimizer = adam, loss = 'categorical_crossentropy', metrics = ['accuracy'])

# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100
210/210 [==============================] - 2s 10ms/step - loss: 14.9423 - accuracy: 0.1010 - val_loss: 3.9284 - val_accuracy: 0.1028
Epoch 2/100
210/210 [==============================] - 2s 9ms/step - loss: 3.7373 - accuracy: 0.1226 - val_loss: 3.0115 - val_accuracy: 0.1320
Epoch 3/100
210/210 [==============================] - 2s 9ms/step - loss: 2.6931 - accuracy: 0.1648 - val_loss: 2.3343 - val_accuracy: 0.2063
Epoch 4/100
210/210 [==============================] - 2s 9ms/step - loss: 2.2419 - accuracy: 0.2528 - val_loss: 2.0375 - val_accuracy: 0.3186
Epoch 5/100
210/210 [==============================] - 2s 9ms/step - loss: 2.0029 - accuracy: 0.3302 - val_loss: 1.9634 - val_accuracy: 0.3609
Epoch 6/100
210/210 [==============================] - 2s 9ms/step - loss: 1.7900 - accuracy: 0.4040 - val_loss: 1.6549 - val_accuracy: 0.4430
Epoch 7/100
210/210 [==============================] - 2s 9ms/step - loss: 1.6426 - accuracy: 0.4607 - val_loss: 1.5110 - val_accuracy: 0.5166
Epoch 8/100
210/210 [==============================] - 2s 9ms/step - loss: 1.5253 - accuracy: 0.5065 - val_loss: 1.5376 - val_accuracy: 0.5160
Epoch 9/100
210/210 [==============================] - 2s 9ms/step - loss: 1.4542 - accuracy: 0.5339 - val_loss: 1.5063 - val_accuracy: 0.5229
Epoch 10/100
210/210 [==============================] - 2s 9ms/step - loss: 1.3632 - accuracy: 0.5675 - val_loss: 1.3080 - val_accuracy: 0.5939
Epoch 11/100
210/210 [==============================] - 2s 9ms/step - loss: 1.2859 - accuracy: 0.5987 - val_loss: 1.3370 - val_accuracy: 0.5904
Epoch 12/100
210/210 [==============================] - 2s 9ms/step - loss: 1.2619 - accuracy: 0.6080 - val_loss: 1.2442 - val_accuracy: 0.6015
Epoch 13/100
210/210 [==============================] - 2s 10ms/step - loss: 1.2160 - accuracy: 0.6248 - val_loss: 1.1525 - val_accuracy: 0.6474
Epoch 14/100
210/210 [==============================] - 2s 9ms/step - loss: 1.1945 - accuracy: 0.6321 - val_loss: 1.1920 - val_accuracy: 0.6376
Epoch 15/100
210/210 [==============================] - 2s 9ms/step - loss: 1.1653 - accuracy: 0.6412 - val_loss: 1.1534 - val_accuracy: 0.6471
Epoch 16/100
210/210 [==============================] - 2s 9ms/step - loss: 1.1449 - accuracy: 0.6490 - val_loss: 1.1361 - val_accuracy: 0.6461
Epoch 17/100
210/210 [==============================] - 2s 9ms/step - loss: 1.1059 - accuracy: 0.6622 - val_loss: 1.0777 - val_accuracy: 0.6721
Epoch 18/100
210/210 [==============================] - 2s 9ms/step - loss: 1.0687 - accuracy: 0.6749 - val_loss: 1.0420 - val_accuracy: 0.6780
Epoch 19/100
210/210 [==============================] - 2s 9ms/step - loss: 1.0668 - accuracy: 0.6739 - val_loss: 1.0635 - val_accuracy: 0.6750
Epoch 20/100
210/210 [==============================] - 2s 9ms/step - loss: 1.0493 - accuracy: 0.6792 - val_loss: 1.0613 - val_accuracy: 0.6806
Epoch 21/100
210/210 [==============================] - 2s 9ms/step - loss: 1.0906 - accuracy: 0.6676 - val_loss: 1.1100 - val_accuracy: 0.6555
Epoch 22/100
210/210 [==============================] - 2s 9ms/step - loss: 0.9921 - accuracy: 0.7006 - val_loss: 0.9158 - val_accuracy: 0.7293
Epoch 23/100
210/210 [==============================] - 2s 9ms/step - loss: 0.9722 - accuracy: 0.7070 - val_loss: 1.0156 - val_accuracy: 0.6858
Epoch 24/100
210/210 [==============================] - 2s 9ms/step - loss: 0.9664 - accuracy: 0.7083 - val_loss: 0.9809 - val_accuracy: 0.7020
Epoch 25/100
210/210 [==============================] - 2s 9ms/step - loss: 0.9651 - accuracy: 0.7066 - val_loss: 0.8971 - val_accuracy: 0.7278
Epoch 26/100
210/210 [==============================] - 2s 9ms/step - loss: 0.9425 - accuracy: 0.7138 - val_loss: 1.0349 - val_accuracy: 0.6892
Epoch 27/100
210/210 [==============================] - 2s 9ms/step - loss: 0.9288 - accuracy: 0.7169 - val_loss: 0.8966 - val_accuracy: 0.7286
Epoch 28/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8955 - accuracy: 0.7282 - val_loss: 0.9356 - val_accuracy: 0.7153
Epoch 29/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8930 - accuracy: 0.7267 - val_loss: 0.8933 - val_accuracy: 0.7284
Epoch 30/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8880 - accuracy: 0.7303 - val_loss: 0.9020 - val_accuracy: 0.7285
Epoch 31/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8895 - accuracy: 0.7300 - val_loss: 0.8686 - val_accuracy: 0.7357
Epoch 32/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8686 - accuracy: 0.7348 - val_loss: 0.8299 - val_accuracy: 0.7548
Epoch 33/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8574 - accuracy: 0.7387 - val_loss: 0.8329 - val_accuracy: 0.7490
Epoch 34/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8370 - accuracy: 0.7471 - val_loss: 0.7827 - val_accuracy: 0.7643
Epoch 35/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8462 - accuracy: 0.7405 - val_loss: 0.8188 - val_accuracy: 0.7554
Epoch 36/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8281 - accuracy: 0.7477 - val_loss: 0.8506 - val_accuracy: 0.7463
Epoch 37/100
210/210 [==============================] - 2s 9ms/step - loss: 0.8162 - accuracy: 0.7512 - val_loss: 0.8297 - val_accuracy: 0.7500
Epoch 38/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7863 - accuracy: 0.7603 - val_loss: 0.7429 - val_accuracy: 0.7778
Epoch 39/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7992 - accuracy: 0.7545 - val_loss: 0.8436 - val_accuracy: 0.7503
Epoch 40/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7759 - accuracy: 0.7643 - val_loss: 0.7457 - val_accuracy: 0.7787
Epoch 41/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7681 - accuracy: 0.7637 - val_loss: 0.7880 - val_accuracy: 0.7607
Epoch 42/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7573 - accuracy: 0.7691 - val_loss: 0.7585 - val_accuracy: 0.7699
Epoch 43/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7812 - accuracy: 0.7601 - val_loss: 0.8236 - val_accuracy: 0.7506
Epoch 44/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7541 - accuracy: 0.7680 - val_loss: 0.7198 - val_accuracy: 0.7857
Epoch 45/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7488 - accuracy: 0.7701 - val_loss: 0.7792 - val_accuracy: 0.7668
Epoch 46/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7427 - accuracy: 0.7721 - val_loss: 0.7526 - val_accuracy: 0.7720
Epoch 47/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7203 - accuracy: 0.7799 - val_loss: 0.7520 - val_accuracy: 0.7735
Epoch 48/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7264 - accuracy: 0.7763 - val_loss: 0.7348 - val_accuracy: 0.7764
Epoch 49/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7405 - accuracy: 0.7741 - val_loss: 0.7274 - val_accuracy: 0.7807
Epoch 50/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7074 - accuracy: 0.7833 - val_loss: 0.6838 - val_accuracy: 0.7943
Epoch 51/100
210/210 [==============================] - 2s 9ms/step - loss: 0.7001 - accuracy: 0.7865 - val_loss: 0.6957 - val_accuracy: 0.7896
Epoch 52/100
210/210 [==============================] - 2s 10ms/step - loss: 0.6866 - accuracy: 0.7883 - val_loss: 0.7741 - val_accuracy: 0.7624
Epoch 53/100
210/210 [==============================] - 2s 10ms/step - loss: 0.6909 - accuracy: 0.7893 - val_loss: 0.7086 - val_accuracy: 0.7890
Epoch 54/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6778 - accuracy: 0.7903 - val_loss: 0.6608 - val_accuracy: 0.8008
Epoch 55/100
210/210 [==============================] - 2s 10ms/step - loss: 0.6856 - accuracy: 0.7897 - val_loss: 0.7265 - val_accuracy: 0.7821
Epoch 56/100
210/210 [==============================] - 2s 10ms/step - loss: 0.6689 - accuracy: 0.7935 - val_loss: 0.7243 - val_accuracy: 0.7816
Epoch 57/100
210/210 [==============================] - 2s 10ms/step - loss: 0.6692 - accuracy: 0.7937 - val_loss: 0.6399 - val_accuracy: 0.8081
Epoch 58/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6566 - accuracy: 0.8003 - val_loss: 0.7551 - val_accuracy: 0.7687
Epoch 59/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6526 - accuracy: 0.7995 - val_loss: 0.6592 - val_accuracy: 0.8007
Epoch 60/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6485 - accuracy: 0.7988 - val_loss: 0.6893 - val_accuracy: 0.7941
Epoch 61/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6326 - accuracy: 0.8051 - val_loss: 0.6307 - val_accuracy: 0.8100
Epoch 62/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6357 - accuracy: 0.8028 - val_loss: 0.6426 - val_accuracy: 0.8075
Epoch 63/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6286 - accuracy: 0.8058 - val_loss: 0.6870 - val_accuracy: 0.7940
Epoch 64/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6204 - accuracy: 0.8085 - val_loss: 0.6603 - val_accuracy: 0.8004
Epoch 65/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6299 - accuracy: 0.8055 - val_loss: 0.6459 - val_accuracy: 0.8066
Epoch 66/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6280 - accuracy: 0.8077 - val_loss: 0.6234 - val_accuracy: 0.8134
Epoch 67/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6101 - accuracy: 0.8113 - val_loss: 0.6366 - val_accuracy: 0.8090
Epoch 68/100
210/210 [==============================] - 2s 10ms/step - loss: 0.6092 - accuracy: 0.8116 - val_loss: 0.5900 - val_accuracy: 0.8223
Epoch 69/100
210/210 [==============================] - 2s 10ms/step - loss: 0.6031 - accuracy: 0.8147 - val_loss: 0.6366 - val_accuracy: 0.8074
Epoch 70/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5965 - accuracy: 0.8134 - val_loss: 0.6778 - val_accuracy: 0.7943
Epoch 71/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5922 - accuracy: 0.8178 - val_loss: 0.6773 - val_accuracy: 0.7946
Epoch 72/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5903 - accuracy: 0.8190 - val_loss: 0.6109 - val_accuracy: 0.8158
Epoch 73/100
210/210 [==============================] - 2s 9ms/step - loss: 0.6015 - accuracy: 0.8136 - val_loss: 0.6389 - val_accuracy: 0.8068
Epoch 74/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5839 - accuracy: 0.8185 - val_loss: 0.5991 - val_accuracy: 0.8198
Epoch 75/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5697 - accuracy: 0.8248 - val_loss: 0.5788 - val_accuracy: 0.8266
Epoch 76/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5860 - accuracy: 0.8174 - val_loss: 0.5774 - val_accuracy: 0.8253
Epoch 77/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5689 - accuracy: 0.8225 - val_loss: 0.6377 - val_accuracy: 0.8067
Epoch 78/100
210/210 [==============================] - 2s 10ms/step - loss: 0.5712 - accuracy: 0.8245 - val_loss: 0.6053 - val_accuracy: 0.8149
Epoch 79/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5777 - accuracy: 0.8193 - val_loss: 0.6130 - val_accuracy: 0.8149
Epoch 80/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5755 - accuracy: 0.8194 - val_loss: 0.5830 - val_accuracy: 0.8260
Epoch 81/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5649 - accuracy: 0.8255 - val_loss: 0.6095 - val_accuracy: 0.8164
Epoch 82/100
210/210 [==============================] - 2s 10ms/step - loss: 0.5636 - accuracy: 0.8265 - val_loss: 0.5833 - val_accuracy: 0.8278
Epoch 83/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5626 - accuracy: 0.8245 - val_loss: 0.6298 - val_accuracy: 0.8089
Epoch 84/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5487 - accuracy: 0.8295 - val_loss: 0.6041 - val_accuracy: 0.8177
Epoch 85/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5403 - accuracy: 0.8320 - val_loss: 0.6206 - val_accuracy: 0.8120
Epoch 86/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5583 - accuracy: 0.8265 - val_loss: 0.5710 - val_accuracy: 0.8295
Epoch 87/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5379 - accuracy: 0.8333 - val_loss: 0.5682 - val_accuracy: 0.8292
Epoch 88/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5410 - accuracy: 0.8342 - val_loss: 0.5871 - val_accuracy: 0.8256
Epoch 89/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5283 - accuracy: 0.8360 - val_loss: 0.5686 - val_accuracy: 0.8307
Epoch 90/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5417 - accuracy: 0.8305 - val_loss: 0.6001 - val_accuracy: 0.8191
Epoch 91/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5376 - accuracy: 0.8316 - val_loss: 0.5553 - val_accuracy: 0.8314
Epoch 92/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5304 - accuracy: 0.8359 - val_loss: 0.5835 - val_accuracy: 0.8250
Epoch 93/100
210/210 [==============================] - 2s 10ms/step - loss: 0.5253 - accuracy: 0.8375 - val_loss: 0.5434 - val_accuracy: 0.8396
Epoch 94/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5187 - accuracy: 0.8381 - val_loss: 0.5595 - val_accuracy: 0.8300
Epoch 95/100
210/210 [==============================] - 2s 10ms/step - loss: 0.5151 - accuracy: 0.8411 - val_loss: 0.5463 - val_accuracy: 0.8378
Epoch 96/100
210/210 [==============================] - 2s 10ms/step - loss: 0.5129 - accuracy: 0.8409 - val_loss: 0.6299 - val_accuracy: 0.8099
Epoch 97/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5222 - accuracy: 0.8358 - val_loss: 0.6003 - val_accuracy: 0.8191
Epoch 98/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5101 - accuracy: 0.8409 - val_loss: 0.5641 - val_accuracy: 0.8320
Epoch 99/100
210/210 [==============================] - 2s 9ms/step - loss: 0.4992 - accuracy: 0.8462 - val_loss: 0.5749 - val_accuracy: 0.8303
Epoch 100/100
210/210 [==============================] - 2s 9ms/step - loss: 0.5181 - accuracy: 0.8384 - val_loss: 0.5789 - val_accuracy: 0.8268

Trying to further increase the accuracy of the predictions by playing with optimizers and learning rates

In [163]:
# compiling the neural network classifier, SGD optimizer
sgd = optimizers.SGD(lr = 0.001)
image_classifier.compile(optimizer = sgd, loss = 'categorical_crossentropy', metrics = ['accuracy'])

# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100
210/210 [==============================] - 2s 10ms/step - loss: 0.3986 - accuracy: 0.8772 - val_loss: 0.4659 - val_accuracy: 0.8659
Epoch 2/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3775 - accuracy: 0.8840 - val_loss: 0.4599 - val_accuracy: 0.8690
Epoch 3/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3718 - accuracy: 0.8856 - val_loss: 0.4571 - val_accuracy: 0.8699
Epoch 4/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3684 - accuracy: 0.8876 - val_loss: 0.4565 - val_accuracy: 0.8701
Epoch 5/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3662 - accuracy: 0.8891 - val_loss: 0.4561 - val_accuracy: 0.8712
Epoch 6/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3639 - accuracy: 0.8894 - val_loss: 0.4575 - val_accuracy: 0.8700
Epoch 7/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3627 - accuracy: 0.8890 - val_loss: 0.4540 - val_accuracy: 0.8720
Epoch 8/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3610 - accuracy: 0.8904 - val_loss: 0.4536 - val_accuracy: 0.8716
Epoch 9/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3599 - accuracy: 0.8909 - val_loss: 0.4529 - val_accuracy: 0.8723
Epoch 10/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3584 - accuracy: 0.8908 - val_loss: 0.4512 - val_accuracy: 0.8724
Epoch 11/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3571 - accuracy: 0.8907 - val_loss: 0.4514 - val_accuracy: 0.8726
Epoch 12/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3561 - accuracy: 0.8915 - val_loss: 0.4511 - val_accuracy: 0.8723
Epoch 13/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3554 - accuracy: 0.8917 - val_loss: 0.4505 - val_accuracy: 0.8734
Epoch 14/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3543 - accuracy: 0.8923 - val_loss: 0.4497 - val_accuracy: 0.8741
Epoch 15/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3535 - accuracy: 0.8917 - val_loss: 0.4492 - val_accuracy: 0.8740
Epoch 16/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3527 - accuracy: 0.8925 - val_loss: 0.4506 - val_accuracy: 0.8737
Epoch 17/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3520 - accuracy: 0.8938 - val_loss: 0.4511 - val_accuracy: 0.8726
Epoch 18/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3512 - accuracy: 0.8923 - val_loss: 0.4488 - val_accuracy: 0.8742
Epoch 19/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3508 - accuracy: 0.8933 - val_loss: 0.4486 - val_accuracy: 0.8744
Epoch 20/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3492 - accuracy: 0.8935 - val_loss: 0.4492 - val_accuracy: 0.8752
Epoch 21/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3488 - accuracy: 0.8931 - val_loss: 0.4495 - val_accuracy: 0.8743
Epoch 22/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3487 - accuracy: 0.8929 - val_loss: 0.4487 - val_accuracy: 0.8745
Epoch 23/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3481 - accuracy: 0.8945 - val_loss: 0.4487 - val_accuracy: 0.8747
Epoch 24/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3476 - accuracy: 0.8930 - val_loss: 0.4481 - val_accuracy: 0.8749
Epoch 25/100
210/210 [==============================] - 2s 9ms/step - loss: 0.3470 - accuracy: 0.8942 - val_loss: 0.4486 - val_accuracy: 0.8750
Epoch 26/100
210/210 [==============================] - 4s 17ms/step - loss: 0.3462 - accuracy: 0.8942 - val_loss: 0.4484 - val_accuracy: 0.8746
Epoch 27/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3455 - accuracy: 0.8939 - val_loss: 0.4479 - val_accuracy: 0.8751
Epoch 28/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3448 - accuracy: 0.8951 - val_loss: 0.4475 - val_accuracy: 0.8756
Epoch 29/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3445 - accuracy: 0.8952 - val_loss: 0.4498 - val_accuracy: 0.8754
Epoch 30/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3441 - accuracy: 0.8955 - val_loss: 0.4475 - val_accuracy: 0.8752
Epoch 31/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3435 - accuracy: 0.8957 - val_loss: 0.4478 - val_accuracy: 0.8759
Epoch 32/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3430 - accuracy: 0.8951 - val_loss: 0.4474 - val_accuracy: 0.8754
Epoch 33/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3424 - accuracy: 0.8955 - val_loss: 0.4481 - val_accuracy: 0.8759
Epoch 34/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3422 - accuracy: 0.8959 - val_loss: 0.4478 - val_accuracy: 0.8762
Epoch 35/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3415 - accuracy: 0.8952 - val_loss: 0.4477 - val_accuracy: 0.8755
Epoch 36/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3414 - accuracy: 0.8965 - val_loss: 0.4462 - val_accuracy: 0.8759
Epoch 37/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3405 - accuracy: 0.8965 - val_loss: 0.4475 - val_accuracy: 0.8763
Epoch 38/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3404 - accuracy: 0.8972 - val_loss: 0.4473 - val_accuracy: 0.8757
Epoch 39/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3402 - accuracy: 0.8970 - val_loss: 0.4459 - val_accuracy: 0.8762
Epoch 40/100
210/210 [==============================] - 2s 12ms/step - loss: 0.3393 - accuracy: 0.8963 - val_loss: 0.4476 - val_accuracy: 0.8766
Epoch 41/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3389 - accuracy: 0.8969 - val_loss: 0.4467 - val_accuracy: 0.8762
Epoch 42/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3384 - accuracy: 0.8965 - val_loss: 0.4476 - val_accuracy: 0.8766
Epoch 43/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3383 - accuracy: 0.8963 - val_loss: 0.4452 - val_accuracy: 0.8767
Epoch 44/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3377 - accuracy: 0.8974 - val_loss: 0.4470 - val_accuracy: 0.8767
Epoch 45/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3382 - accuracy: 0.8972 - val_loss: 0.4454 - val_accuracy: 0.8775
Epoch 46/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3373 - accuracy: 0.8973 - val_loss: 0.4467 - val_accuracy: 0.8770
Epoch 47/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3368 - accuracy: 0.8978 - val_loss: 0.4476 - val_accuracy: 0.8760
Epoch 48/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3364 - accuracy: 0.8972 - val_loss: 0.4462 - val_accuracy: 0.8772
Epoch 49/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3364 - accuracy: 0.8979 - val_loss: 0.4458 - val_accuracy: 0.8769
Epoch 50/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3356 - accuracy: 0.8973 - val_loss: 0.4462 - val_accuracy: 0.8771
Epoch 51/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3354 - accuracy: 0.8974 - val_loss: 0.4475 - val_accuracy: 0.8766
Epoch 52/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3351 - accuracy: 0.8979 - val_loss: 0.4458 - val_accuracy: 0.8773
Epoch 53/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3349 - accuracy: 0.8976 - val_loss: 0.4455 - val_accuracy: 0.8774
Epoch 54/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3341 - accuracy: 0.8989 - val_loss: 0.4476 - val_accuracy: 0.8770
Epoch 55/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3338 - accuracy: 0.8976 - val_loss: 0.4472 - val_accuracy: 0.8764
Epoch 56/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3341 - accuracy: 0.8971 - val_loss: 0.4466 - val_accuracy: 0.8760
Epoch 57/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3338 - accuracy: 0.8989 - val_loss: 0.4466 - val_accuracy: 0.8777
Epoch 58/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3329 - accuracy: 0.8985 - val_loss: 0.4459 - val_accuracy: 0.8781
Epoch 59/100
210/210 [==============================] - 2s 11ms/step - loss: 0.3329 - accuracy: 0.8985 - val_loss: 0.4457 - val_accuracy: 0.8777
Epoch 60/100
210/210 [==============================] - 2s 12ms/step - loss: 0.3325 - accuracy: 0.8987 - val_loss: 0.4452 - val_accuracy: 0.8777
Epoch 61/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3322 - accuracy: 0.8993 - val_loss: 0.4455 - val_accuracy: 0.8778
Epoch 62/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3320 - accuracy: 0.8986 - val_loss: 0.4451 - val_accuracy: 0.8782
Epoch 63/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3319 - accuracy: 0.8988 - val_loss: 0.4461 - val_accuracy: 0.8779
Epoch 64/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3315 - accuracy: 0.8984 - val_loss: 0.4445 - val_accuracy: 0.8784
Epoch 65/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3310 - accuracy: 0.8998 - val_loss: 0.4451 - val_accuracy: 0.8777
Epoch 66/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3310 - accuracy: 0.8991 - val_loss: 0.4464 - val_accuracy: 0.8775
Epoch 67/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3301 - accuracy: 0.8998 - val_loss: 0.4454 - val_accuracy: 0.8777
Epoch 68/100
210/210 [==============================] - 2s 11ms/step - loss: 0.3303 - accuracy: 0.8996 - val_loss: 0.4444 - val_accuracy: 0.8784
Epoch 69/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3297 - accuracy: 0.8996 - val_loss: 0.4442 - val_accuracy: 0.8787
Epoch 70/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3295 - accuracy: 0.8995 - val_loss: 0.4453 - val_accuracy: 0.8782
Epoch 71/100
210/210 [==============================] - 2s 11ms/step - loss: 0.3294 - accuracy: 0.9004 - val_loss: 0.4456 - val_accuracy: 0.8784
Epoch 72/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3288 - accuracy: 0.8999 - val_loss: 0.4454 - val_accuracy: 0.8783
Epoch 73/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3286 - accuracy: 0.8999 - val_loss: 0.4456 - val_accuracy: 0.8784
Epoch 74/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3284 - accuracy: 0.8997 - val_loss: 0.4457 - val_accuracy: 0.8787
Epoch 75/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3279 - accuracy: 0.8997 - val_loss: 0.4443 - val_accuracy: 0.8792
Epoch 76/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3275 - accuracy: 0.9005 - val_loss: 0.4457 - val_accuracy: 0.8781
Epoch 77/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3279 - accuracy: 0.8992 - val_loss: 0.4457 - val_accuracy: 0.8785
Epoch 78/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3274 - accuracy: 0.9002 - val_loss: 0.4451 - val_accuracy: 0.8789
Epoch 79/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3273 - accuracy: 0.9005 - val_loss: 0.4446 - val_accuracy: 0.8791
Epoch 80/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3267 - accuracy: 0.9001 - val_loss: 0.4461 - val_accuracy: 0.8788
Epoch 81/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3267 - accuracy: 0.9009 - val_loss: 0.4449 - val_accuracy: 0.8782
Epoch 82/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3264 - accuracy: 0.9007 - val_loss: 0.4452 - val_accuracy: 0.8790
Epoch 83/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3259 - accuracy: 0.9014 - val_loss: 0.4457 - val_accuracy: 0.8791
Epoch 84/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3258 - accuracy: 0.9009 - val_loss: 0.4442 - val_accuracy: 0.8794
Epoch 85/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3257 - accuracy: 0.9006 - val_loss: 0.4462 - val_accuracy: 0.8787
Epoch 86/100
210/210 [==============================] - 3s 15ms/step - loss: 0.3249 - accuracy: 0.9016 - val_loss: 0.4432 - val_accuracy: 0.8798
Epoch 87/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3248 - accuracy: 0.9013 - val_loss: 0.4445 - val_accuracy: 0.8792
Epoch 88/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3248 - accuracy: 0.9007 - val_loss: 0.4445 - val_accuracy: 0.8788
Epoch 89/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3243 - accuracy: 0.9013 - val_loss: 0.4463 - val_accuracy: 0.8784
Epoch 90/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3241 - accuracy: 0.9012 - val_loss: 0.4433 - val_accuracy: 0.8793
Epoch 91/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3240 - accuracy: 0.9011 - val_loss: 0.4452 - val_accuracy: 0.8800
Epoch 92/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3236 - accuracy: 0.9015 - val_loss: 0.4443 - val_accuracy: 0.8799
Epoch 93/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3236 - accuracy: 0.9006 - val_loss: 0.4449 - val_accuracy: 0.8792
Epoch 94/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3232 - accuracy: 0.9009 - val_loss: 0.4457 - val_accuracy: 0.8794
Epoch 95/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3233 - accuracy: 0.9018 - val_loss: 0.4443 - val_accuracy: 0.8802
Epoch 96/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3227 - accuracy: 0.9019 - val_loss: 0.4435 - val_accuracy: 0.8798
Epoch 97/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3224 - accuracy: 0.9019 - val_loss: 0.4430 - val_accuracy: 0.8795
Epoch 98/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3225 - accuracy: 0.9009 - val_loss: 0.4455 - val_accuracy: 0.8790
Epoch 99/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3222 - accuracy: 0.9020 - val_loss: 0.4429 - val_accuracy: 0.8808
Epoch 100/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3218 - accuracy: 0.9017 - val_loss: 0.4464 - val_accuracy: 0.8787
In [164]:
# compiling the neural network classifier, sgd optimizer
sgd = optimizers.SGD(lr = 0.001)
image_classifier.compile(optimizer = sgd, loss = 'categorical_crossentropy', metrics = ['accuracy'])

# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100
210/210 [==============================] - 3s 14ms/step - loss: 0.3217 - accuracy: 0.9019 - val_loss: 0.4447 - val_accuracy: 0.8794
Epoch 2/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3215 - accuracy: 0.9021 - val_loss: 0.4434 - val_accuracy: 0.8808
Epoch 3/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3214 - accuracy: 0.9024 - val_loss: 0.4461 - val_accuracy: 0.8791
Epoch 4/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3212 - accuracy: 0.9023 - val_loss: 0.4443 - val_accuracy: 0.8798
Epoch 5/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3207 - accuracy: 0.9013 - val_loss: 0.4446 - val_accuracy: 0.8800
Epoch 6/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3207 - accuracy: 0.9030 - val_loss: 0.4438 - val_accuracy: 0.8795
Epoch 7/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3205 - accuracy: 0.9024 - val_loss: 0.4457 - val_accuracy: 0.8795
Epoch 8/100
210/210 [==============================] - 3s 14ms/step - loss: 0.3202 - accuracy: 0.9028 - val_loss: 0.4446 - val_accuracy: 0.8804
Epoch 9/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3204 - accuracy: 0.9021 - val_loss: 0.4445 - val_accuracy: 0.8796
Epoch 10/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3194 - accuracy: 0.9037 - val_loss: 0.4445 - val_accuracy: 0.8796
Epoch 11/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3197 - accuracy: 0.9029 - val_loss: 0.4437 - val_accuracy: 0.8813
Epoch 12/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3192 - accuracy: 0.9031 - val_loss: 0.4450 - val_accuracy: 0.8799
Epoch 13/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3191 - accuracy: 0.9025 - val_loss: 0.4448 - val_accuracy: 0.8796
Epoch 14/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3190 - accuracy: 0.9031 - val_loss: 0.4471 - val_accuracy: 0.8796
Epoch 15/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3189 - accuracy: 0.9028 - val_loss: 0.4449 - val_accuracy: 0.8796
Epoch 16/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3184 - accuracy: 0.9026 - val_loss: 0.4461 - val_accuracy: 0.8799
Epoch 17/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3182 - accuracy: 0.9039 - val_loss: 0.4450 - val_accuracy: 0.8802
Epoch 18/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3181 - accuracy: 0.9030 - val_loss: 0.4438 - val_accuracy: 0.8802
Epoch 19/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3174 - accuracy: 0.9035 - val_loss: 0.4444 - val_accuracy: 0.8804
Epoch 20/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3178 - accuracy: 0.9030 - val_loss: 0.4455 - val_accuracy: 0.8808
Epoch 21/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3175 - accuracy: 0.9027 - val_loss: 0.4438 - val_accuracy: 0.8807
Epoch 22/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3171 - accuracy: 0.9035 - val_loss: 0.4448 - val_accuracy: 0.8808
Epoch 23/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3174 - accuracy: 0.9035 - val_loss: 0.4429 - val_accuracy: 0.8817
Epoch 24/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3165 - accuracy: 0.9045 - val_loss: 0.4438 - val_accuracy: 0.8802
Epoch 25/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3165 - accuracy: 0.9031 - val_loss: 0.4439 - val_accuracy: 0.8807
Epoch 26/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3162 - accuracy: 0.9038 - val_loss: 0.4466 - val_accuracy: 0.8795
Epoch 27/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3157 - accuracy: 0.9039 - val_loss: 0.4438 - val_accuracy: 0.8812
Epoch 28/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3157 - accuracy: 0.9048 - val_loss: 0.4440 - val_accuracy: 0.8810
Epoch 29/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3157 - accuracy: 0.9035 - val_loss: 0.4469 - val_accuracy: 0.8806
Epoch 30/100
210/210 [==============================] - 3s 14ms/step - loss: 0.3155 - accuracy: 0.9028 - val_loss: 0.4440 - val_accuracy: 0.8806
Epoch 31/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3152 - accuracy: 0.9034 - val_loss: 0.4449 - val_accuracy: 0.8808
Epoch 32/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3146 - accuracy: 0.9037 - val_loss: 0.4438 - val_accuracy: 0.8813
Epoch 33/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3149 - accuracy: 0.9042 - val_loss: 0.4430 - val_accuracy: 0.8817
Epoch 34/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3146 - accuracy: 0.9040 - val_loss: 0.4442 - val_accuracy: 0.8805
Epoch 35/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3146 - accuracy: 0.9041 - val_loss: 0.4446 - val_accuracy: 0.8816
Epoch 36/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3143 - accuracy: 0.9039 - val_loss: 0.4446 - val_accuracy: 0.8799
Epoch 37/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3141 - accuracy: 0.9051 - val_loss: 0.4440 - val_accuracy: 0.8809
Epoch 38/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3142 - accuracy: 0.9036 - val_loss: 0.4437 - val_accuracy: 0.8814
Epoch 39/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3135 - accuracy: 0.9049 - val_loss: 0.4465 - val_accuracy: 0.8799
Epoch 40/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3136 - accuracy: 0.9043 - val_loss: 0.4457 - val_accuracy: 0.8808
Epoch 41/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3134 - accuracy: 0.9042 - val_loss: 0.4445 - val_accuracy: 0.8815
Epoch 42/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3129 - accuracy: 0.9053 - val_loss: 0.4449 - val_accuracy: 0.8810
Epoch 43/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3132 - accuracy: 0.9045 - val_loss: 0.4448 - val_accuracy: 0.8811
Epoch 44/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3130 - accuracy: 0.9041 - val_loss: 0.4442 - val_accuracy: 0.8808
Epoch 45/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3128 - accuracy: 0.9047 - val_loss: 0.4466 - val_accuracy: 0.8811
Epoch 46/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3124 - accuracy: 0.9049 - val_loss: 0.4440 - val_accuracy: 0.8812
Epoch 47/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3125 - accuracy: 0.9051 - val_loss: 0.4449 - val_accuracy: 0.8814
Epoch 48/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3124 - accuracy: 0.9045 - val_loss: 0.4446 - val_accuracy: 0.8813
Epoch 49/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3119 - accuracy: 0.9047 - val_loss: 0.4430 - val_accuracy: 0.8824
Epoch 50/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3115 - accuracy: 0.9049 - val_loss: 0.4439 - val_accuracy: 0.8820
Epoch 51/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3114 - accuracy: 0.9047 - val_loss: 0.4439 - val_accuracy: 0.8813
Epoch 52/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3117 - accuracy: 0.9050 - val_loss: 0.4452 - val_accuracy: 0.8817
Epoch 53/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3110 - accuracy: 0.9052 - val_loss: 0.4454 - val_accuracy: 0.8808
Epoch 54/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3108 - accuracy: 0.9048 - val_loss: 0.4445 - val_accuracy: 0.8816
Epoch 55/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3108 - accuracy: 0.9052 - val_loss: 0.4443 - val_accuracy: 0.8813
Epoch 56/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3104 - accuracy: 0.9047 - val_loss: 0.4458 - val_accuracy: 0.8813
Epoch 57/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3103 - accuracy: 0.9049 - val_loss: 0.4463 - val_accuracy: 0.8809
Epoch 58/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3104 - accuracy: 0.9048 - val_loss: 0.4443 - val_accuracy: 0.8816
Epoch 59/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3098 - accuracy: 0.9055 - val_loss: 0.4464 - val_accuracy: 0.8814
Epoch 60/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3097 - accuracy: 0.9055 - val_loss: 0.4474 - val_accuracy: 0.8804
Epoch 61/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3099 - accuracy: 0.9059 - val_loss: 0.4475 - val_accuracy: 0.8806
Epoch 62/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3094 - accuracy: 0.9054 - val_loss: 0.4467 - val_accuracy: 0.8806
Epoch 63/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3090 - accuracy: 0.9063 - val_loss: 0.4432 - val_accuracy: 0.8822
Epoch 64/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3094 - accuracy: 0.9052 - val_loss: 0.4453 - val_accuracy: 0.8825
Epoch 65/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3090 - accuracy: 0.9055 - val_loss: 0.4453 - val_accuracy: 0.8820
Epoch 66/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3088 - accuracy: 0.9058 - val_loss: 0.4493 - val_accuracy: 0.8811
Epoch 67/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3086 - accuracy: 0.9066 - val_loss: 0.4447 - val_accuracy: 0.8813
Epoch 68/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3085 - accuracy: 0.9050 - val_loss: 0.4441 - val_accuracy: 0.8830
Epoch 69/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3085 - accuracy: 0.9061 - val_loss: 0.4440 - val_accuracy: 0.8819
Epoch 70/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3077 - accuracy: 0.9056 - val_loss: 0.4470 - val_accuracy: 0.8813
Epoch 71/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3077 - accuracy: 0.9069 - val_loss: 0.4459 - val_accuracy: 0.8819
Epoch 72/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3077 - accuracy: 0.9055 - val_loss: 0.4465 - val_accuracy: 0.8820
Epoch 73/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3076 - accuracy: 0.9062 - val_loss: 0.4464 - val_accuracy: 0.8813
Epoch 74/100
210/210 [==============================] - 3s 15ms/step - loss: 0.3077 - accuracy: 0.9057 - val_loss: 0.4453 - val_accuracy: 0.8822
Epoch 75/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3068 - accuracy: 0.9072 - val_loss: 0.4462 - val_accuracy: 0.8822
Epoch 76/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3067 - accuracy: 0.9061 - val_loss: 0.4452 - val_accuracy: 0.8822
Epoch 77/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3070 - accuracy: 0.9065 - val_loss: 0.4458 - val_accuracy: 0.8816
Epoch 78/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3068 - accuracy: 0.9060 - val_loss: 0.4446 - val_accuracy: 0.8828
Epoch 79/100
210/210 [==============================] - 3s 12ms/step - loss: 0.3065 - accuracy: 0.9065 - val_loss: 0.4457 - val_accuracy: 0.8820
Epoch 80/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3059 - accuracy: 0.9066 - val_loss: 0.4456 - val_accuracy: 0.8825
Epoch 81/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3060 - accuracy: 0.9066 - val_loss: 0.4467 - val_accuracy: 0.8826
Epoch 82/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3059 - accuracy: 0.9069 - val_loss: 0.4466 - val_accuracy: 0.8818
Epoch 83/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3054 - accuracy: 0.9070 - val_loss: 0.4462 - val_accuracy: 0.8821
Epoch 84/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3061 - accuracy: 0.9064 - val_loss: 0.4462 - val_accuracy: 0.8817
Epoch 85/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3055 - accuracy: 0.9069 - val_loss: 0.4463 - val_accuracy: 0.8812
Epoch 86/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3053 - accuracy: 0.9070 - val_loss: 0.4458 - val_accuracy: 0.8826
Epoch 87/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3050 - accuracy: 0.9070 - val_loss: 0.4460 - val_accuracy: 0.8820
Epoch 88/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3049 - accuracy: 0.9067 - val_loss: 0.4460 - val_accuracy: 0.8831
Epoch 89/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3048 - accuracy: 0.9075 - val_loss: 0.4456 - val_accuracy: 0.8827
Epoch 90/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3047 - accuracy: 0.9063 - val_loss: 0.4461 - val_accuracy: 0.8823
Epoch 91/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3043 - accuracy: 0.9071 - val_loss: 0.4457 - val_accuracy: 0.8824
Epoch 92/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3046 - accuracy: 0.9070 - val_loss: 0.4470 - val_accuracy: 0.8816
Epoch 93/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3047 - accuracy: 0.9072 - val_loss: 0.4447 - val_accuracy: 0.8827
Epoch 94/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3039 - accuracy: 0.9064 - val_loss: 0.4453 - val_accuracy: 0.8833
Epoch 95/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3038 - accuracy: 0.9079 - val_loss: 0.4463 - val_accuracy: 0.8821
Epoch 96/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3040 - accuracy: 0.9069 - val_loss: 0.4448 - val_accuracy: 0.8834
Epoch 97/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3034 - accuracy: 0.9077 - val_loss: 0.4456 - val_accuracy: 0.8832
Epoch 98/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3031 - accuracy: 0.9080 - val_loss: 0.4468 - val_accuracy: 0.8823
Epoch 99/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3035 - accuracy: 0.9075 - val_loss: 0.4464 - val_accuracy: 0.8833
Epoch 100/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3031 - accuracy: 0.9080 - val_loss: 0.4470 - val_accuracy: 0.8835
In [165]:
# compiling the neural network classifier, sgd optimizer
sgd = optimizers.SGD(lr = 0.001)
image_classifier.compile(optimizer = sgd, loss = 'categorical_crossentropy', metrics = ['accuracy'])

# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100
210/210 [==============================] - 3s 14ms/step - loss: 0.3027 - accuracy: 0.9086 - val_loss: 0.4476 - val_accuracy: 0.8835
Epoch 2/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3024 - accuracy: 0.9085 - val_loss: 0.4467 - val_accuracy: 0.8824
Epoch 3/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3024 - accuracy: 0.9075 - val_loss: 0.4457 - val_accuracy: 0.8826
Epoch 4/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3023 - accuracy: 0.9079 - val_loss: 0.4480 - val_accuracy: 0.8824
Epoch 5/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3022 - accuracy: 0.9084 - val_loss: 0.4464 - val_accuracy: 0.8826
Epoch 6/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3023 - accuracy: 0.9076 - val_loss: 0.4490 - val_accuracy: 0.8823
Epoch 7/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3021 - accuracy: 0.9076 - val_loss: 0.4455 - val_accuracy: 0.8834
Epoch 8/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3016 - accuracy: 0.9080 - val_loss: 0.4482 - val_accuracy: 0.8826
Epoch 9/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3017 - accuracy: 0.9084 - val_loss: 0.4484 - val_accuracy: 0.8826
Epoch 10/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3020 - accuracy: 0.9083 - val_loss: 0.4456 - val_accuracy: 0.8836
Epoch 11/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3014 - accuracy: 0.9076 - val_loss: 0.4458 - val_accuracy: 0.8837
Epoch 12/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3011 - accuracy: 0.9076 - val_loss: 0.4478 - val_accuracy: 0.8828
Epoch 13/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3011 - accuracy: 0.9082 - val_loss: 0.4454 - val_accuracy: 0.8840
Epoch 14/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3014 - accuracy: 0.9083 - val_loss: 0.4455 - val_accuracy: 0.8837
Epoch 15/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3007 - accuracy: 0.9084 - val_loss: 0.4488 - val_accuracy: 0.8822
Epoch 16/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3003 - accuracy: 0.9082 - val_loss: 0.4513 - val_accuracy: 0.8824
Epoch 17/100
210/210 [==============================] - 3s 14ms/step - loss: 0.3007 - accuracy: 0.9085 - val_loss: 0.4457 - val_accuracy: 0.8836
Epoch 18/100
210/210 [==============================] - 3s 14ms/step - loss: 0.3002 - accuracy: 0.9085 - val_loss: 0.4457 - val_accuracy: 0.8835
Epoch 19/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3001 - accuracy: 0.9091 - val_loss: 0.4462 - val_accuracy: 0.8832
Epoch 20/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3001 - accuracy: 0.9087 - val_loss: 0.4455 - val_accuracy: 0.8834
Epoch 21/100
210/210 [==============================] - 3s 13ms/step - loss: 0.3001 - accuracy: 0.9088 - val_loss: 0.4461 - val_accuracy: 0.8834
Epoch 22/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2997 - accuracy: 0.9090 - val_loss: 0.4491 - val_accuracy: 0.8824
Epoch 23/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2996 - accuracy: 0.9092 - val_loss: 0.4464 - val_accuracy: 0.8830
Epoch 24/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2993 - accuracy: 0.9080 - val_loss: 0.4482 - val_accuracy: 0.8829
Epoch 25/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2993 - accuracy: 0.9087 - val_loss: 0.4457 - val_accuracy: 0.8845
Epoch 26/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2993 - accuracy: 0.9091 - val_loss: 0.4456 - val_accuracy: 0.8844
Epoch 27/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2987 - accuracy: 0.9087 - val_loss: 0.4461 - val_accuracy: 0.8840
Epoch 28/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2988 - accuracy: 0.9081 - val_loss: 0.4472 - val_accuracy: 0.8838
Epoch 29/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2989 - accuracy: 0.9093 - val_loss: 0.4463 - val_accuracy: 0.8840
Epoch 30/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2982 - accuracy: 0.9094 - val_loss: 0.4460 - val_accuracy: 0.8837
Epoch 31/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2984 - accuracy: 0.9082 - val_loss: 0.4472 - val_accuracy: 0.8835
Epoch 32/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2980 - accuracy: 0.9093 - val_loss: 0.4468 - val_accuracy: 0.8844
Epoch 33/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2979 - accuracy: 0.9096 - val_loss: 0.4474 - val_accuracy: 0.8842
Epoch 34/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2977 - accuracy: 0.9100 - val_loss: 0.4454 - val_accuracy: 0.8843
Epoch 35/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2977 - accuracy: 0.9095 - val_loss: 0.4493 - val_accuracy: 0.8833
Epoch 36/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2975 - accuracy: 0.9097 - val_loss: 0.4459 - val_accuracy: 0.8838
Epoch 37/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2976 - accuracy: 0.9093 - val_loss: 0.4473 - val_accuracy: 0.8841
Epoch 38/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2970 - accuracy: 0.9093 - val_loss: 0.4466 - val_accuracy: 0.8837
Epoch 39/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2972 - accuracy: 0.9088 - val_loss: 0.4480 - val_accuracy: 0.8831
Epoch 40/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2973 - accuracy: 0.9098 - val_loss: 0.4465 - val_accuracy: 0.8842
Epoch 41/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2968 - accuracy: 0.9103 - val_loss: 0.4489 - val_accuracy: 0.8827
Epoch 42/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2968 - accuracy: 0.9091 - val_loss: 0.4468 - val_accuracy: 0.8842
Epoch 43/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2966 - accuracy: 0.9097 - val_loss: 0.4467 - val_accuracy: 0.8839
Epoch 44/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2964 - accuracy: 0.9092 - val_loss: 0.4492 - val_accuracy: 0.8825
Epoch 45/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2962 - accuracy: 0.9102 - val_loss: 0.4506 - val_accuracy: 0.8826
Epoch 46/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2963 - accuracy: 0.9091 - val_loss: 0.4464 - val_accuracy: 0.8844
Epoch 47/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2963 - accuracy: 0.9091 - val_loss: 0.4464 - val_accuracy: 0.8844
Epoch 48/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2965 - accuracy: 0.9094 - val_loss: 0.4464 - val_accuracy: 0.8850
Epoch 49/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2957 - accuracy: 0.9095 - val_loss: 0.4471 - val_accuracy: 0.8840
Epoch 50/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2951 - accuracy: 0.9101 - val_loss: 0.4508 - val_accuracy: 0.8834
Epoch 51/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2957 - accuracy: 0.9105 - val_loss: 0.4453 - val_accuracy: 0.8843
Epoch 52/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2954 - accuracy: 0.9102 - val_loss: 0.4494 - val_accuracy: 0.8832
Epoch 53/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2950 - accuracy: 0.9100 - val_loss: 0.4484 - val_accuracy: 0.8834
Epoch 54/100
210/210 [==============================] - 3s 12ms/step - loss: 0.2954 - accuracy: 0.9098 - val_loss: 0.4481 - val_accuracy: 0.8845
Epoch 55/100
210/210 [==============================] - 3s 12ms/step - loss: 0.2944 - accuracy: 0.9107 - val_loss: 0.4468 - val_accuracy: 0.8846
Epoch 56/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2951 - accuracy: 0.9099 - val_loss: 0.4466 - val_accuracy: 0.8847
Epoch 57/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2942 - accuracy: 0.9102 - val_loss: 0.4474 - val_accuracy: 0.8849
Epoch 58/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2941 - accuracy: 0.9107 - val_loss: 0.4515 - val_accuracy: 0.8829
Epoch 59/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2946 - accuracy: 0.9101 - val_loss: 0.4474 - val_accuracy: 0.8844
Epoch 60/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2940 - accuracy: 0.9106 - val_loss: 0.4478 - val_accuracy: 0.8849
Epoch 61/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2942 - accuracy: 0.9104 - val_loss: 0.4472 - val_accuracy: 0.8842
Epoch 62/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2942 - accuracy: 0.9107 - val_loss: 0.4483 - val_accuracy: 0.8840
Epoch 63/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2934 - accuracy: 0.9102 - val_loss: 0.4493 - val_accuracy: 0.8834
Epoch 64/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2936 - accuracy: 0.9111 - val_loss: 0.4488 - val_accuracy: 0.8838
Epoch 65/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2936 - accuracy: 0.9109 - val_loss: 0.4497 - val_accuracy: 0.8837
Epoch 66/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2934 - accuracy: 0.9099 - val_loss: 0.4496 - val_accuracy: 0.8845
Epoch 67/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2931 - accuracy: 0.9113 - val_loss: 0.4486 - val_accuracy: 0.8844
Epoch 68/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2929 - accuracy: 0.9110 - val_loss: 0.4512 - val_accuracy: 0.8838
Epoch 69/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2931 - accuracy: 0.9112 - val_loss: 0.4479 - val_accuracy: 0.8850
Epoch 70/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2931 - accuracy: 0.9112 - val_loss: 0.4494 - val_accuracy: 0.8840
Epoch 71/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2927 - accuracy: 0.9103 - val_loss: 0.4477 - val_accuracy: 0.8849
Epoch 72/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2923 - accuracy: 0.9110 - val_loss: 0.4506 - val_accuracy: 0.8838
Epoch 73/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2923 - accuracy: 0.9116 - val_loss: 0.4485 - val_accuracy: 0.8846
Epoch 74/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2926 - accuracy: 0.9109 - val_loss: 0.4488 - val_accuracy: 0.8847
Epoch 75/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2917 - accuracy: 0.9114 - val_loss: 0.4480 - val_accuracy: 0.8847
Epoch 76/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2916 - accuracy: 0.9110 - val_loss: 0.4487 - val_accuracy: 0.8846
Epoch 77/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2919 - accuracy: 0.9106 - val_loss: 0.4488 - val_accuracy: 0.8854
Epoch 78/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2919 - accuracy: 0.9110 - val_loss: 0.4485 - val_accuracy: 0.8849
Epoch 79/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2916 - accuracy: 0.9113 - val_loss: 0.4478 - val_accuracy: 0.8854
Epoch 80/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2918 - accuracy: 0.9117 - val_loss: 0.4478 - val_accuracy: 0.8841
Epoch 81/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2915 - accuracy: 0.9112 - val_loss: 0.4479 - val_accuracy: 0.8855
Epoch 82/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2910 - accuracy: 0.9106 - val_loss: 0.4507 - val_accuracy: 0.8845
Epoch 83/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2913 - accuracy: 0.9118 - val_loss: 0.4474 - val_accuracy: 0.8852
Epoch 84/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2908 - accuracy: 0.9111 - val_loss: 0.4480 - val_accuracy: 0.8848
Epoch 85/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2910 - accuracy: 0.9115 - val_loss: 0.4482 - val_accuracy: 0.8854
Epoch 86/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2905 - accuracy: 0.9123 - val_loss: 0.4485 - val_accuracy: 0.8849
Epoch 87/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2904 - accuracy: 0.9110 - val_loss: 0.4521 - val_accuracy: 0.8839
Epoch 88/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2903 - accuracy: 0.9117 - val_loss: 0.4472 - val_accuracy: 0.8863
Epoch 89/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2904 - accuracy: 0.9119 - val_loss: 0.4477 - val_accuracy: 0.8858
Epoch 90/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2904 - accuracy: 0.9119 - val_loss: 0.4497 - val_accuracy: 0.8844
Epoch 91/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2899 - accuracy: 0.9113 - val_loss: 0.4491 - val_accuracy: 0.8849
Epoch 92/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2899 - accuracy: 0.9118 - val_loss: 0.4503 - val_accuracy: 0.8843
Epoch 93/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2903 - accuracy: 0.9115 - val_loss: 0.4523 - val_accuracy: 0.8838
Epoch 94/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2896 - accuracy: 0.9120 - val_loss: 0.4497 - val_accuracy: 0.8855
Epoch 95/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2895 - accuracy: 0.9119 - val_loss: 0.4507 - val_accuracy: 0.8844
Epoch 96/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2899 - accuracy: 0.9117 - val_loss: 0.4488 - val_accuracy: 0.8843
Epoch 97/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2893 - accuracy: 0.9120 - val_loss: 0.4487 - val_accuracy: 0.8852
Epoch 98/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2892 - accuracy: 0.9118 - val_loss: 0.4483 - val_accuracy: 0.8852
Epoch 99/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2895 - accuracy: 0.9116 - val_loss: 0.4490 - val_accuracy: 0.8856
Epoch 100/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2887 - accuracy: 0.9124 - val_loss: 0.4494 - val_accuracy: 0.8850
In [166]:
# compiling the neural network classifier, sgd optimizer
sgd = optimizers.SGD(lr = 0.001)
image_classifier.compile(optimizer = sgd, loss = 'categorical_crossentropy', metrics = ['accuracy'])

# Fitting the neural network for training
history = image_classifier.fit(X_train, y_train, validation_data = (X_val, y_val), batch_size = 200, epochs = 100, verbose = 1)
Epoch 1/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2885 - accuracy: 0.9122 - val_loss: 0.4495 - val_accuracy: 0.8852
Epoch 2/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2887 - accuracy: 0.9124 - val_loss: 0.4498 - val_accuracy: 0.8854
Epoch 3/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2886 - accuracy: 0.9117 - val_loss: 0.4497 - val_accuracy: 0.8852
Epoch 4/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2884 - accuracy: 0.9117 - val_loss: 0.4492 - val_accuracy: 0.8848
Epoch 5/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2886 - accuracy: 0.9120 - val_loss: 0.4488 - val_accuracy: 0.8844
Epoch 6/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2881 - accuracy: 0.9124 - val_loss: 0.4485 - val_accuracy: 0.8850
Epoch 7/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2881 - accuracy: 0.9128 - val_loss: 0.4486 - val_accuracy: 0.8855
Epoch 8/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2876 - accuracy: 0.9132 - val_loss: 0.4505 - val_accuracy: 0.8854
Epoch 9/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2879 - accuracy: 0.9127 - val_loss: 0.4488 - val_accuracy: 0.8856
Epoch 10/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2874 - accuracy: 0.9120 - val_loss: 0.4512 - val_accuracy: 0.8852
Epoch 11/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2878 - accuracy: 0.9124 - val_loss: 0.4523 - val_accuracy: 0.8852
Epoch 12/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2875 - accuracy: 0.9128 - val_loss: 0.4525 - val_accuracy: 0.8844
Epoch 13/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2875 - accuracy: 0.9125 - val_loss: 0.4507 - val_accuracy: 0.8851
Epoch 14/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2870 - accuracy: 0.9133 - val_loss: 0.4501 - val_accuracy: 0.8853
Epoch 15/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2873 - accuracy: 0.9129 - val_loss: 0.4491 - val_accuracy: 0.8865
Epoch 16/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2872 - accuracy: 0.9129 - val_loss: 0.4505 - val_accuracy: 0.8850
Epoch 17/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2864 - accuracy: 0.9130 - val_loss: 0.4518 - val_accuracy: 0.8852
Epoch 18/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2868 - accuracy: 0.9122 - val_loss: 0.4503 - val_accuracy: 0.8857
Epoch 19/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2869 - accuracy: 0.9127 - val_loss: 0.4484 - val_accuracy: 0.8864
Epoch 20/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2863 - accuracy: 0.9126 - val_loss: 0.4487 - val_accuracy: 0.8860
Epoch 21/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2864 - accuracy: 0.9132 - val_loss: 0.4475 - val_accuracy: 0.8865
Epoch 22/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2864 - accuracy: 0.9126 - val_loss: 0.4490 - val_accuracy: 0.8859
Epoch 23/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2861 - accuracy: 0.9130 - val_loss: 0.4520 - val_accuracy: 0.8846
Epoch 24/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2860 - accuracy: 0.9125 - val_loss: 0.4514 - val_accuracy: 0.8854
Epoch 25/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2860 - accuracy: 0.9124 - val_loss: 0.4502 - val_accuracy: 0.8854
Epoch 26/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2851 - accuracy: 0.9137 - val_loss: 0.4513 - val_accuracy: 0.8853
Epoch 27/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2859 - accuracy: 0.9123 - val_loss: 0.4497 - val_accuracy: 0.8863
Epoch 28/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2855 - accuracy: 0.9142 - val_loss: 0.4493 - val_accuracy: 0.8859
Epoch 29/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2853 - accuracy: 0.9140 - val_loss: 0.4501 - val_accuracy: 0.8859
Epoch 30/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2855 - accuracy: 0.9137 - val_loss: 0.4506 - val_accuracy: 0.8861
Epoch 31/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2854 - accuracy: 0.9133 - val_loss: 0.4527 - val_accuracy: 0.8848
Epoch 32/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2851 - accuracy: 0.9133 - val_loss: 0.4516 - val_accuracy: 0.8854
Epoch 33/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2841 - accuracy: 0.9136 - val_loss: 0.4512 - val_accuracy: 0.8850
Epoch 34/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2848 - accuracy: 0.9132 - val_loss: 0.4507 - val_accuracy: 0.8865
Epoch 35/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2844 - accuracy: 0.9134 - val_loss: 0.4498 - val_accuracy: 0.8858
Epoch 36/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2848 - accuracy: 0.9132 - val_loss: 0.4489 - val_accuracy: 0.8860
Epoch 37/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2841 - accuracy: 0.9140 - val_loss: 0.4509 - val_accuracy: 0.8856
Epoch 38/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2843 - accuracy: 0.9138 - val_loss: 0.4496 - val_accuracy: 0.8860
Epoch 39/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2839 - accuracy: 0.9135 - val_loss: 0.4502 - val_accuracy: 0.8858
Epoch 40/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2840 - accuracy: 0.9139 - val_loss: 0.4508 - val_accuracy: 0.8857
Epoch 41/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2838 - accuracy: 0.9131 - val_loss: 0.4501 - val_accuracy: 0.8863
Epoch 42/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2839 - accuracy: 0.9139 - val_loss: 0.4510 - val_accuracy: 0.8856
Epoch 43/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2839 - accuracy: 0.9139 - val_loss: 0.4495 - val_accuracy: 0.8864
Epoch 44/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2839 - accuracy: 0.9133 - val_loss: 0.4489 - val_accuracy: 0.8864
Epoch 45/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2836 - accuracy: 0.9143 - val_loss: 0.4485 - val_accuracy: 0.8870
Epoch 46/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2831 - accuracy: 0.9140 - val_loss: 0.4503 - val_accuracy: 0.8867
Epoch 47/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2834 - accuracy: 0.9145 - val_loss: 0.4491 - val_accuracy: 0.8870
Epoch 48/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2832 - accuracy: 0.9140 - val_loss: 0.4508 - val_accuracy: 0.8861
Epoch 49/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2826 - accuracy: 0.9144 - val_loss: 0.4523 - val_accuracy: 0.8856
Epoch 50/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2826 - accuracy: 0.9134 - val_loss: 0.4498 - val_accuracy: 0.8862
Epoch 51/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2826 - accuracy: 0.9135 - val_loss: 0.4509 - val_accuracy: 0.8865
Epoch 52/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2827 - accuracy: 0.9144 - val_loss: 0.4516 - val_accuracy: 0.8859
Epoch 53/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2826 - accuracy: 0.9137 - val_loss: 0.4507 - val_accuracy: 0.8855
Epoch 54/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2818 - accuracy: 0.9136 - val_loss: 0.4521 - val_accuracy: 0.8861
Epoch 55/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2823 - accuracy: 0.9143 - val_loss: 0.4491 - val_accuracy: 0.8870
Epoch 56/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2820 - accuracy: 0.9142 - val_loss: 0.4509 - val_accuracy: 0.8865
Epoch 57/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2824 - accuracy: 0.9137 - val_loss: 0.4512 - val_accuracy: 0.8852
Epoch 58/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2821 - accuracy: 0.9145 - val_loss: 0.4511 - val_accuracy: 0.8859
Epoch 59/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2820 - accuracy: 0.9144 - val_loss: 0.4508 - val_accuracy: 0.8860
Epoch 60/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2819 - accuracy: 0.9143 - val_loss: 0.4519 - val_accuracy: 0.8860
Epoch 61/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2815 - accuracy: 0.9148 - val_loss: 0.4517 - val_accuracy: 0.8859
Epoch 62/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2815 - accuracy: 0.9151 - val_loss: 0.4502 - val_accuracy: 0.8870
Epoch 63/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2814 - accuracy: 0.9140 - val_loss: 0.4516 - val_accuracy: 0.8863
Epoch 64/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2815 - accuracy: 0.9144 - val_loss: 0.4531 - val_accuracy: 0.8856
Epoch 65/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2813 - accuracy: 0.9150 - val_loss: 0.4499 - val_accuracy: 0.8863
Epoch 66/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2812 - accuracy: 0.9143 - val_loss: 0.4512 - val_accuracy: 0.8871
Epoch 67/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2811 - accuracy: 0.9149 - val_loss: 0.4534 - val_accuracy: 0.8868
Epoch 68/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2809 - accuracy: 0.9151 - val_loss: 0.4513 - val_accuracy: 0.8873
Epoch 69/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2806 - accuracy: 0.9150 - val_loss: 0.4519 - val_accuracy: 0.8864
Epoch 70/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2809 - accuracy: 0.9145 - val_loss: 0.4524 - val_accuracy: 0.8867
Epoch 71/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2804 - accuracy: 0.9150 - val_loss: 0.4530 - val_accuracy: 0.8857
Epoch 72/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2805 - accuracy: 0.9145 - val_loss: 0.4511 - val_accuracy: 0.8866
Epoch 73/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2806 - accuracy: 0.9157 - val_loss: 0.4515 - val_accuracy: 0.8873
Epoch 74/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2798 - accuracy: 0.9147 - val_loss: 0.4524 - val_accuracy: 0.8865
Epoch 75/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2805 - accuracy: 0.9155 - val_loss: 0.4506 - val_accuracy: 0.8870
Epoch 76/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2799 - accuracy: 0.9142 - val_loss: 0.4510 - val_accuracy: 0.8863
Epoch 77/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2792 - accuracy: 0.9150 - val_loss: 0.4529 - val_accuracy: 0.8864
Epoch 78/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2795 - accuracy: 0.9148 - val_loss: 0.4526 - val_accuracy: 0.8863
Epoch 79/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2794 - accuracy: 0.9146 - val_loss: 0.4539 - val_accuracy: 0.8857
Epoch 80/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2793 - accuracy: 0.9151 - val_loss: 0.4517 - val_accuracy: 0.8860
Epoch 81/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2792 - accuracy: 0.9149 - val_loss: 0.4516 - val_accuracy: 0.8863
Epoch 82/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2791 - accuracy: 0.9157 - val_loss: 0.4505 - val_accuracy: 0.8871
Epoch 83/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2791 - accuracy: 0.9151 - val_loss: 0.4520 - val_accuracy: 0.8876
Epoch 84/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2792 - accuracy: 0.9151 - val_loss: 0.4544 - val_accuracy: 0.8864
Epoch 85/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2787 - accuracy: 0.9158 - val_loss: 0.4519 - val_accuracy: 0.8869
Epoch 86/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2785 - accuracy: 0.9154 - val_loss: 0.4519 - val_accuracy: 0.8874
Epoch 87/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2787 - accuracy: 0.9157 - val_loss: 0.4515 - val_accuracy: 0.8872
Epoch 88/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2785 - accuracy: 0.9154 - val_loss: 0.4537 - val_accuracy: 0.8863
Epoch 89/100
210/210 [==============================] - 2s 12ms/step - loss: 0.2787 - accuracy: 0.9149 - val_loss: 0.4522 - val_accuracy: 0.8876
Epoch 90/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2786 - accuracy: 0.9154 - val_loss: 0.4534 - val_accuracy: 0.8871
Epoch 91/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2780 - accuracy: 0.9157 - val_loss: 0.4518 - val_accuracy: 0.8876
Epoch 92/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2779 - accuracy: 0.9161 - val_loss: 0.4542 - val_accuracy: 0.8862
Epoch 93/100
210/210 [==============================] - 3s 15ms/step - loss: 0.2779 - accuracy: 0.9161 - val_loss: 0.4529 - val_accuracy: 0.8870
Epoch 94/100
210/210 [==============================] - 3s 14ms/step - loss: 0.2777 - accuracy: 0.9153 - val_loss: 0.4528 - val_accuracy: 0.8871
Epoch 95/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2779 - accuracy: 0.9154 - val_loss: 0.4526 - val_accuracy: 0.8877
Epoch 96/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2776 - accuracy: 0.9157 - val_loss: 0.4537 - val_accuracy: 0.8869
Epoch 97/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2773 - accuracy: 0.9164 - val_loss: 0.4556 - val_accuracy: 0.8863
Epoch 98/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2772 - accuracy: 0.9161 - val_loss: 0.4530 - val_accuracy: 0.8867
Epoch 99/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2776 - accuracy: 0.9148 - val_loss: 0.4523 - val_accuracy: 0.8882
Epoch 100/100
210/210 [==============================] - 3s 13ms/step - loss: 0.2774 - accuracy: 0.9158 - val_loss: 0.4564 - val_accuracy: 0.8859
In [167]:
predictions = image_classifier.predict_classes(X_test)
score = image_classifier.evaluate(X_test, y_test)
563/563 [==============================] - 2s 3ms/step - loss: 0.8765 - accuracy: 0.8162

Confusion Matrix and Classification Report

In [168]:
y_test = image_data['y_test'][:]
In [169]:
from sklearn import metrics

classifier_matrix = metrics.confusion_matrix(y_test, predictions, labels=[0,1,2,3,4,5,6,7,8,9])

cm_classifier = pd.DataFrame(classifier_matrix, index = [i for i in ["0","1","2","3","4","5","6","7","8","9"]],
                  columns = [i for i in ["Predict 0","Predict 1","Predict 2","Predict 3","Predict 4","Predict 5","Predict 6","Predict 7","Predict 8","Predict 9"]])
plt.figure(figsize = (15,15))
sns.heatmap(cm_classifier, annot=True,cmap="Blues",fmt='g')
Out[169]:
<matplotlib.axes._subplots.AxesSubplot at 0x2555aafda00>
In [170]:
from sklearn import metrics
print(metrics.classification_report(y_test,predictions))
              precision    recall  f1-score   support

           0       0.84      0.86      0.85      1814
           1       0.86      0.82      0.84      1828
           2       0.87      0.81      0.84      1803
           3       0.76      0.78      0.77      1719
           4       0.83      0.85      0.84      1812
           5       0.80      0.80      0.80      1768
           6       0.80      0.80      0.80      1832
           7       0.83      0.86      0.84      1808
           8       0.76      0.78      0.77      1812
           9       0.81      0.79      0.80      1804

    accuracy                           0.82     18000
   macro avg       0.82      0.82      0.82     18000
weighted avg       0.82      0.82      0.82     18000

In [171]:
accuracy_classifier = metrics.classification_report(y_test, predictions).split()[-2]
accuracy_percentage_classifier = float(accuracy_classifier)*100
In [172]:
print('The Accuracy of the Image Classifier is :',accuracy_percentage_classifier,'%')
The Accuracy of the Image Classifier is : 82.0 %

Saving the model

In [173]:
image_classifier.save('image_classifier.h5')

from keras.models import load_model
image_classifier_loaded = load_model('image_classifier.h5')

THE END

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